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Material properties in Studio, native UCP simulation for design optimization, SimplePipeline workflow, global search endpoint

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Material properties in Studio

A new Materials section in the project sidebar lets you create materials within a project and attach measured property datasets (CSV / parquet) to each one. Upload, plot, edit, re-process, replace, and delete are all wired up. The Python SDK gains read-only client.material and client.material_property_dataset sub-clients with list, get, get_units, and get_data (returns a polars.DataFrame); the REST surface supports signed-URL downloads, on-the-fly downsampling, and x-range filtering. A new docs page covers the UI workflow and REST endpoints.

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Native UCP simulation for design optimization

DesignObjective gained a backend="ucp" option that runs UCP protocols natively inside the optimization loop instead of converting them first. This preserves UCP features that the conversion dropped — dynamic loops, conditionals, gotos, set_variable, subroutines — and avoids per-iteration overhead. EIS steps are now rejected up front in design optimization (with a clear error both in the frontend form and at the backend), because the UCP backend does not yet support frequency-domain steps; standalone simulations remain the path for EIS.

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SimplePipeline workflow

A new lightweight pipeline variant for configs with at most one expensive element (one data fit or one validation). The whole config runs end-to-end as a single background job instead of fanning out to child jobs. CRUD endpoints under /simple_pipelines (POST returns 202; LIST supports filters; PATCH for name/description; cancel and delete), plus a client.simple_pipeline SDK sub-client with create, get, list, update, cancel, delete, and wait_for_completion.

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Global search API

New GET /search endpoint performs prefix full-text + substring search across projects, studies, simulations, models, parameterized models, optimizations, optimization templates, experiment templates, pipelines, cell specifications, and materials within the authenticated organization. There is no frontend search bar in Studio yet — the new docs page makes this explicit so you don’t go looking for one.
Improvements
  • Optimizations table: bulk Delete restored next to the existing bulk Cancel action, gated by optimization:delete, with a confirmation dialog that pluralizes correctly and per-row error toasts.
  • Protocol simulator: Download CSV button next to “Configure Plot” exports the full time-series plus step-level columns (cycle count, step number, protocol variables) expanded to match each time point, regardless of zoom.
  • Time-series measurement plot: overlay multiple variables sharing the same unit on either Y-axis via a + button — unit-filtered dropdown, distinct color cycle per series, individual × to remove, and selecting a primary variable with a different unit clears incompatible extras.
  • ECM models now expose Anode potential [V], Cathode potential [V], and their open-circuit counterparts so BioLogic three-electrode EWE / ECE control limits can be reproduced from a simulation. New LFP/Li metal half-cell chemistry added to the parameter library and the cell configuration UI.
  • Hover tooltips standardized to 3 decimal places across all plots.
  • EIS Nyquist plot renders as markers-only scatter (no connecting lines), with a slightly larger marker.
  • Cell-spec cascade delete now batches storage-path deletion and parallelizes per-measurement folder deletes, so one transient failure doesn’t abort cleanup for the others.
  • Storage downloads now retry transient errors with exponential backoff — fixes job failures on intermittent non-JSON error responses.
  • A new endpoint returns the parsed contents of a job’s metadata blob, giving the Python SDK a path to large validation payloads that the legacy result endpoint could not reach.
  • Simulation submission unified to a two-step pattern (parse-to-template then simulate-with-template). Removed several redundant older simulation endpoints.
Fixes
  • Simulation dedup: removed a session-specific identifier from the uniqueness key used to detect duplicate simulations, so the “simulation already exists” path actually triggers and duplicate rows stop accumulating.
  • Measurement details: Cycles tab is visible again and the cycle filter slider’s range is correct after the Cycle number → Cycle count column rename.
  • Measurements of type properties or file now show an informational alert pointing to the details panel or the SDK instead of rendering empty time-series tabs.
Improvements
  • ionworks-schema is now the single validation boundary for parser inputs across the pipeline, improving consistency between the SDK’s schema classes and pipeline execution.
  • Standardized user-facing optimizer kwargs across all fitting backends: max_iterations replaces older per-backend names, and population_size replaces popsize on the differential evolution optimizer. Old names continue to work with a DeprecationWarning.
  • A transient protocol solver failure during differential evolution now lands on the finite-penalty path instead of killing the optimization. Protocol and configuration errors still surface as errors so static bugs remain visible.
Fixes
  • pybamm.Experiment period and temperature now round-trip correctly through serialization (fix shipped in pybamm 26.4.3). Experiment schemas accept the new field set (per-step period, temperature, tags, description, direction, start_time, skip_ok; experiment-level period, temperature, termination); duration also accepts human-readable strings like "287 seconds".
  • SimplePipeline jobs run data fits in-process and now establish their own connection to the compute backend, so distributed evaluation actually fires; when that connection fails, the fit falls back to its in-process path. Legacy element-type labels are now canonicalized consistently at ingress.
Improvements
  • client.simple_pipeline sub-client for the new SimplePipeline workflow.
  • client.protocol.convert(protocol, target) returns a ConvertResult with primary_bytes, text(), and save(dir) helpers — exports a UCP YAML protocol to a native vendor file (Maccor, Arbin, Neware, BioLogic BT-Test, or Novonix). Maccor returns any drive-cycle MWF assets alongside the primary file.
  • client.job.get_metadata(job_id) returns the parsed contents of a job’s metadata blob, giving the SDK access to large validation payloads the legacy result endpoint could not reach.
Improvements
  • BioLogic .mps parser: User Profile (drive cycle) steps are now extracted from embedded Urban Profile Tables, or from sibling .txt files supplied via additional_content when the .mps lacks embedded tables. Current sign is flipped on the way in so positive represents discharge for UCP/PyBaMM.
  • Arbin parser rewritten to keep the step list flat with raw gotos instead of inferring loops from backward-goto patterns. Fixes sibling backward gotos to the same target, cross-loop goto resolution, and digit-bearing formula labels like F_EIS_10%_capacity_change. Pause steps emit UCP’s first-class auxiliary Pause step.
  • More Arbin / Maccor step types recognized: Arbin Internal Resistance → Rest with a UserWarning, additional Arbin step variants mapped to their UCP types, bracketed MV_UD[n] normalised, leading-negative current expressions classified as Discharge. Maccor User Def CYCLE <op> N translated to a UCP VariableEnd against the runtime CYCLE alias.
  • Per-step overhead trimmed substantially on long protocols, speeding up simulation of protocols with many steps.
  • Solver failures are now distinguished from protocol and configuration errors, which keep their original error types and gain step context.
Fixes
  • Real Maccor .MWF exports that include a multi-line preamble plus a header row now parse correctly. Files containing only data rows still parse unchanged.
Improvements
  • New run-simple-pipelines skill walks through the SimplePipeline client end-to-end.
  • process-data: clarified that protocol holds test conditions that affect the electrochemical outcome (temperature, C-rate, SoC, DoD, pressure) while test_setup holds physical logistics (cycler model, operator, lab, channel) that do not. test_setup lives only on measurements, not on cell instances.
  • process-data: set_step_count with a step column is now the unambiguous default, so decreasing / repeating step ids from GITT or RPT-with-substeps work the same as monotonic ones; the sign-based fallback is reframed as a fallback for when no step column exists at all. Added a caveat for cyclers that emit duplicate Time [s] rows at step transitions.
  • process-data: mandatory header-audit step codifies eight rules (walk every file, group by cohort × column-set, classify Standard / Auxiliary / Drop, diff reader output, preserve aux columns, keep multi-thermocouple channels separate, confirm units / sign per cohort, surface missing-temperature as a finding) and a required confirmation-report shape, so silent column drops between cycler families are caught before any standardized parquet is written.
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Custom PyBaMM model + Li-S support, ECM capacity co-optimization, default project for the Python SDK, structured validation issues

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Custom PyBaMM models with Lithium-Sulfur chemistry

The /models/upload-custom endpoint now accepts a chemistry field (defaulting to lithium_ion), and Li-S models get more accurate and robust initialization when they run. The manage-projects SDK skill documents the full upload workflow — pybamm.Serialise().save_custom_model(filename=...) → multipart upload → client.model.get(id) returns is_custom_model: true.

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ECM fit: capacity co-optimization and per-segment initial SoC

Several interlocking improvements to the project-scoped ECM fit. Supplying an ocv_soc_curve (and optional bounds_capacity) lets you co-optimize cell capacity Q jointly with the fit instead of pinning Q to a single seed; on a 25 °C rate-test trace the fitted capacity now lands within 0.9 % of the coulomb-counting truth across all knot schedules. initial_soc accepts a list (one entry per measurement) so multi-measurement fits reset SoC at each segment boundary instead of integrating coulombs across the gaps; if you omit it, an improved auto-seed routine now estimates each segment’s starting SoC automatically. num_knots, num_knots_r0, knot_schedule, and clamp_max_ratio are now first-class parameters on /fit-from-measurements and /fit-from-file. A boundary-clamp default was also loosened, fixing an issue where it could collapse the R0 fit and cause solver failures on rate-test forward simulations.

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Default project for the Python SDK

The Ionworks client now resolves a default project_id at construction time from a project_id= argument or the new IONWORKS_PROJECT_ID environment variable, so callers no longer have to thread project_id through every call. The previous PROJECT_ID env var still works but emits a DeprecationWarning. All client.study.* methods take project_id as an optional keyword (after the resource ID) defaulting to the client value, and pipelines and optimizations auto-inject it into payloads.

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Structured measurement-validation issues

MeasurementValidationError.errors is now list[ValidationIssue] — a frozen dataclass carrying a stable IssueCode (StrEnum), severity, human-readable message, and JSON-native payload. Downstream code can branch on check identity via e.has_code(IssueCode.CURRENT_SIGN_REVERSED) instead of grepping the message string. ionworksdata’s auto-fix path now keys off the new codes; IssueCode and ValidationIssue are re-exported from the top-level ionworks package.
Improvements
  • Simulation boards now have a dedicated backend API at /projects/{project_id}/studies/{study_id}/simulation_boards, fixing a blank Visualization tab in some cases.
  • Optimization Performance Detail and Performance Summary tabs now surface buried validation_warning / validation_not_supported issues as top-level alerts above the tabs, with info “no data” alerts inside the tabs for the rare empty-but-valid case.
  • Defensive UX in the Visualization tab: the Data/Visualization toggle stays visible even when no board is available, with a warning alert prompting the switch back to Data instead of trapping the user on a blank page.
Fixes
  • The single simulation result page no longer flashes “Simulation not found” before the data loads on a fresh navigation.
Improvements
  • ionworks-schema gained Constraint, Penalty, CMAESOptions, PSOOptions, DEOptions, LatinHypercube, and Uniform schema classes, plus improved documentation across objectives, data fits, parameter estimators, regularizers, and distribution samplers.
Fixes
  • Fixed an issue where a solver failure on a bad parameter combination during a fit could crash the whole datafit instead of being handled gracefully. Cloud fits stay alive and the offending sample just gets a huge cost.
Improvements
  • New client.urls.measurement(measurement_id, project_id) helper returns the web app deep link for a measurement, so callers don’t have to hand-build URLs themselves.
Improvements
  • manage-projects documents the /models/upload-custom multipart workflow and the Model / ParameterizedModel disambiguation.
  • upload-data and other validation-aware skills updated to reference the new IssueCode / ValidationIssue API and the e.has_code(...) pattern instead of substring-matching error strings.
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Full optimization experiment editor, Arbin reader, Maccor coverage, UCP input schema

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Full editor for optimization experiments

Optimization experiments now use the same protocol editor as the rest of the app. The bare text field has been replaced with a rich editor featuring YAML syntax highlighting, dark-mode support, frontend pre-validation, and the full protocol-builder dialog for picking templates and tuning steps. New protocols pre-load a “Constant Current Charge” template so users have a working starting point.

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Iterative metrics for design optimization

Design optimization now supports CyclewiseMetric and StepwiseMetric wrappers end-to-end. The optimization form lets you target a metric on a specific cycle or step with bounded input fields driven by the parsed experiment, mix pipeline variables alongside PyBaMM variables, and round-trips wrapped metrics through save/load. A long-standing bug where repeated protocol blocks were flat-expanded has also been fixed, which broke solution.cycles indexing for cycle-wise metrics. Two new templates ship: a simplified Charge optimization and composite system models.

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Arbin cycler support

ionworksdata now reads native Arbin exports — CSV, XLSX, and the binary .res format. The .res reader extracts data directly from Arbin’s export format (no separate Access database tool required), sorts rows chronologically to handle interleaved multi-session recordings, and reads the absolute start time from the file’s session metadata. Auto-detection picks the right reader from file headers, and arbin res is also exposed as an explicit reader name.

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Maccor protocol coverage

The Maccor parser and simulator now handle several real-world protocol features that previously failed at parse time or during simulation, including per-limit safety gotos, Chg/Dis Func CCCV step types, and robust variable setvar handling. The Maccor ionworksdata reader also gained support for the compact short-form column header set used by some firmware versions, which previously crashed and silently dropped capacity/energy columns.

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Machine-checkable UCP input schema

The discovery endpoint /discovery/schemas/protocol now exposes a JSON Schema matching the actual YAML authoring format (single-key dicts like {Charge: {...}}) rather than the internal parsed shape. Parity tests round-trip good and bad fixtures through both the schema and the parser so they cannot drift. Submitting the legacy kind: shape to POST /protocols/validate now returns a helpful error pointing at the canonical YAML examples, and the discover-api and run-simulations skills show local pre-validation via jsonschema.validate(...).
Improvements
  • The Ionworks Agent tab has been replaced with a static instructions page pointing to the Ionworks Agentic Toolkit; the in-app chat agent has been removed in favour of the SKILL.md-based workflow.
  • New cell specifications no longer pre-fill a default capacity, so users enter the actual cell capacity from the start.
Fixes
  • Storage permissions are now enforced at the organization level so members of the same org can read each other’s measurement files as expected.
  • created_by_email is now consistently populated on cell-spec, cell-instance, and cell-measurement responses across both get and list endpoints.
  • Simulation usage is aggregated at the organization level (matching the org-level usage limit that the backend already enforces) and is fetched from a dedicated GET /organizations/current/usage endpoint.
Fixes
  • Half-cell ECM now exposes anode and cathode potential variables (Anode potential [V], Cathode potential [V]) for plotting and metrics.
  • get_cycle_metrics keeps the Cycle count column name on output instead of renaming it to Cycle number, matching the input convention used throughout the data pipeline.
Improvements
  • validate_measurement_data, CellMeasurement.create, and CellMeasurement.create_or_get accept a skip_checks parameter so callers can relax a single strict validator (e.g. time_gaps) instead of disabling strict mode wholesale. Unknown check names raise ValueError, and the canonical set is exposed as ionworks.validators.STRICT_CHECK_NAMES. validate_strict=True is now the recommended default.
Improvements
  • New Arbin reader covering CSV, XLSX, and native .res exports (see the highlight above).
  • Maccor reader now accepts the compact short-form column header set used by some cycler firmware versions.
Improvements
  • New electrolyte parameterization page with a worked Landesfeind fit example.
  • Optimization experiment editor, iterative metrics, simplified Charge template, and composite system models are documented.
  • Custom variables reference now documents anode/cathode potential exposure on the half-cell ECM (English and Japanese).
  • Maccor native CCCV step type is documented (English and Japanese).
  • Arbin is listed in the supported cyclers table.
  • SEO metadata (keywords, OG tags, tightened descriptions) added across the docs site, including expanded data-fitting guide descriptions.
Improvements
  • Each mirrored package (ionworksdata, ionworks-schema, ionworks-api, iwutil, ionworkspipeline, skills) now ships a per-package CHANGELOG.md in Keep-a-Changelog format, written and validated as part of the release workflows.
  • discover-api and run-simulations skills updated to reference the new UCP input JSON Schema and demonstrate local pre-validation.
  • upload-data skill updated to recommend validate_strict=True and document the new skip_checks parameter.
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Project-scoped ECM fitting, PyBaMM v26.4.0 support, SDK skills plugin, strict upload validators

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Project-scoped ECM fitting

Equivalent-circuit-model fitting is now available directly inside a project. Pick any measurement already attached to one of the project’s cells (or upload a fresh CSV), preview the trace, run the fit, and save the result back to the project as a new model with one click. The new flow adds a model-vs-data plot, an error plot, a fitting-progress indicator, an OCV toggle helper, and auto-scrolls to the results when the fit completes. The standalone ECM demo continues to work for unauthenticated users.

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PyBaMM v26.4.0 support

The simulation engine has been updated for PyBaMM v26.4.0, which introduces a dedicated Rest step class in place of the old zero-current step and renames the MSMR electrode-capacity parameters from short keys (e.g. Q_n_1, Q_p_1) to descriptive strings (e.g. “Negative electrode host site occupancy capacity (1) [A.h]”). Existing experiments and MSMR parameter sets continue to parse correctly under the new release.

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SDK skills as a Claude Code plugin

The Ionworks Python SDK now ships with a set of installable Claude Code skills covering api-discovery, cell-data, data-upload, simulations, pipelines, and projects-and-studies. Each skill documents the relevant sub-clients, method signatures, and the create-or-get patterns so an AI assistant can drive the SDK against the current API surface. Install via /plugin marketplace add ionworks/ionworks-skills and /plugin install ionworks to get the slash commands and SessionStart hook for any Ionworks project.

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Strict upload validators in the Python API

CellMeasurementClient.create and create_or_get now run optional client-side validators before sending data to Studio so processing bugs surface as a local error instead of a confusing upload result. A hard time-gap check (>5 h between consecutive rows) runs by default; passing voltage_window enables a voltage-continuity check (catches chronological misordering from a faulty data split), and passing rated_capacity enables a consecutive same-direction full-step check plus a soft warning for any step whose capacity exceeds 5× rated.
Improvements
  • Measurement chart controls collapse into a compact header summary; per-axis variable selectors now allow adding and removing series dynamically with a unified two-column layout.
Fixes
  • Study visualization no longer collapses to an empty state when switching between studies whose experiment-type tabs differ — the filter resets to All when the previous tab isn’t present.
  • Users with a stale session can recover by signing out via the sign-in page instead of being stuck on the redirect.
  • The empty cells page now uses the correct organization-level permission check, so users who can create cells no longer see a misleading “contact a project admin” message.
  • Pipeline element details view no longer triggers rapid duplicate fetches for Data Fit and Validation configs.
Improvements
  • Simulations now compile faster by default, speeding up repeated runs that share the same model.
  • Simulation objectives with custom mesh or spatial-method settings (such as CycleAgeing) now serialise and reload correctly.
Fixes
  • Time-monotonicity validation error message now reports the correct two adjacent values (the previous off-by-one showed the values just before the actual violation).
Fixes
  • Sign-convention detection no longer misclassifies low-current pulse datasets as all-rest; the rest threshold now scales relative to the 95th-percentile current so violations are caught on small-amplitude data.
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Python SDK resource clients, validation initial conditions, capacity calculation fix

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Python SDK resource clients

The Python SDK gains typed sub-clients for managing Studio resources programmatically. You can now create, list, retrieve, update, and delete projects, models, parameterized models, studies, protocols, and optimizations directly from the Ionworks client — for example, client.project.list(), client.model.get(id), or client.study.create(...). A new “Managing resources” section in the Python API docs walks through each sub-client with usage examples, and requests for Projects, Models, and Studies no longer require your organization to be specified separately — it’s resolved from your account automatically.

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Validation initial conditions and UX polish

Validations now let you choose how the simulation is initialized: auto-detect from the measurement, a custom starting voltage, or a custom state of charge. Each validation row in the Report tab can be removed individually with a confirmation dialog, and a dedup bug that caused two measurements sharing the same initial voltage to overwrite each other’s drive cycle has been fixed. Validation error plots also now render with grid lines for easier reading.

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Capacity calculation fix for multi-electrode cells

A capacity calculation was reading a non-canonical parameter name for the number of electrodes connected in parallel, causing the maximum concentration to be over-computed by a factor of N when users set the correct key. The fix aligns all lookups with PyBaMM’s canonical parameter name so multi-electrode cells parameterize correctly.
Improvements
  • Studies with simulations of a single experiment type now auto-select that type so the visualization view is immediately accessible.
  • Failed variable-evaluation jobs now surface an error state with a Retry button instead of spinning indefinitely.
  • Studies list and parameterized models list now support pagination.
Fixes
  • Fixed a crash when rendering time-series measurements with thousands of short steps (e.g. HPPC pulse protocols with ~1500 steps) — the dashboard can now load these measurements.
  • Fixed coupled custom variables being silently dropped when their resolution failed, which could remove convenience variables like “Temperature [degC]” from simulation outputs.
  • Fixed an issue where an overly large page size on the models list could cause an error.
Improvements
  • Bumped PyBaMM to 26.3.1, which falls back to a base model with a warning when a custom model references a package that isn’t installed in the run environment.
  • Improved reliability of OCP-related fitting objectives so they work correctly in Validation pipelines.
Fixes
  • Fixed an issue where a data fit submitted with a single objective could fail unexpectedly.
Improvements
  • Added typed sub-clients for Models, Studies, Optimizations, Projects, Protocols, and ParameterizedModels, replacing raw HTTP requests for resource management.
  • Requests no longer require your organization to be specified in resource paths — it’s resolved from your account automatically.
  • Simulation polling now propagates errors immediately instead of swallowing them, and uses typed job status objects with clearer completion/failure fields.
Fixes
  • Fixed the simulation job poll endpoint, which was pointing at an incorrect route.
Fixes
  • Fixed a sign-detection bug in the ECM validator where a symmetric current profile (charge / discharge / charge returning to the same net charge) was incorrectly rejected despite having a non-zero SOC span.
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Async optimization, study validation reports, cell data filtering

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Asynchronous optimization evaluation

Optimizers now support asynchronous evaluation for both local and distributed workloads, keeping all workers saturated without waiting for generation boundaries. New convergence criteria — including a patience counter and population diversity guards — prevent premature stopping.

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Study validation reports

Studies now include a validation workflow for comparing simulation results against experimental measurements. A new Report tab displays overlay plots of simulated vs. measured data along with quantitative error metrics (RMSE, MAE), and a Data tab lets you manage which measurements are paired with which simulations.Find out more →

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Cell data filtering and ordering

All cell list endpoints (specifications, instances, and measurements) now accept filter and ordering parameters — including name, creator email, date ranges, and sort direction. The Python SDK exposes matching keyword arguments on each list() method, and the frontend measurement table uses server-side filtering.
Improvements
  • Pipeline and cell measurement tables now support server-side sorting.
  • Added an error screen with auto-retry when the initial user info request fails.
  • Removed SNES optimizer option from the frontend.
Fixes
  • Fixed cross-site scripting issues in the notifications drawer and job progress display.
  • Improved error message consistency across the app.
  • Eliminated slow file-listing calls on file-measurement endpoints by caching filenames, reducing response times from ~10 s to under 100 ms.
Improvements
  • Added dedicated algorithm test suites for CMA-ES, XNES, and Nelder-Mead.
  • Improved convergence for CMA-ES and XNES by preferring the evaluated distribution mean when it outperforms the best sample.
Fixes
  • Fixed a flaky deterministic design optimization test.
Improvements
  • Added filter and ordering keyword arguments to CellSpecificationClient.list(), CellInstanceClient.list(), and CellMeasurementClient.list().
  • download_files(filenames=) now skips the listing round-trip; new get_file() method for single-file fetch.
Improvements
  • Added temperature column recognition for Biologic files.
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Measurement types, performance improvements, total time termination, parameterized model enhancements

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Measurement types for non-time-series data

Cell measurements now support a measurement_type field with three values: time_series (the default), properties for key-value metadata such as checkpoint measurements, and file for arbitrary files such as images, PDFs, or numpy arrays. Each type has its own creation and retrieval flow, and list endpoints can filter by type.Find out more →

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Performance improvements

Pipeline creation is now significantly faster, and the platform handles concurrent load with improved throughput. Models, parameterized models, studies, and optimizations now use server-side pagination and filtering, eliminating the need to load entire collections into memory.

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Total time termination condition

Protocol steps can now use total_time as a built-in termination condition, ending a step after a specified duration of total elapsed experiment time rather than just step time.Find out more →

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Parameterized model improvements

The parameterized model detail view has been consolidated into a single page with tabs, replacing the previous multi-page layout. Models can now be downloaded as a zip archive containing the full configuration, and initial temperature is now correctly accounted for in design optimization objectives for temperature-dependent studies.Find out more →
Improvements
  • Cell specification list now displays as a sortable data table instead of cards.
  • Added a UI warning when a simulation produces no data because all protocol steps were skipped.
  • Removed hardcoded convenience variables from the variable evaluator and improved the evaluate variables UX.
  • All update requests now use partial update semantics.
  • Standardized all duplicate resource errors to return HTTP 409 with structured error details.
  • Replaced signed URL downloads with HTTP 307 redirects for simpler, faster file access.
  • Flattened cell measurement composite response shapes for a more consistent API surface.
  • Design optimizations now default to the Differential Evolution algorithm.
Fixes
  • Fixed optimization deletion hitting the wrong API endpoint.
  • Fixed clone optimization sending a reverted request body.
  • Fixed optimization list page sending redundant API requests.
Improvements
  • Initial temperature is now correctly parsed for temperature-dependent optimization studies.
Fixes
  • Fixed fitted parameter dictionaries occasionally including an extraneous internal entry.
  • Fixed validation to correctly handle certain transformed parameters.
  • Fixed initial SOC not being passed to EIS frequency-domain simulations.
Improvements
  • Added support for arithmetic expressions with input parameters when converting protocols for simulation (e.g. 1000 / input["Total cells"] now produces correct results).
Fixes
  • Fixed initial SOC not being applied in EIS frequency-domain simulations.
Improvements
  • Replaced signed URL downloads with direct HTTP 307 redirects for measurement file access.
  • Flattened cell measurement response shapes for simpler data access.
  • Added measurement_type field to measurement models for non-time-series data.
  • All update methods now use partial update semantics.
  • Improved loading of studies and parameterized models with large numbers of simulations via server-side pagination.
Improvements
  • Faster, more portable local caching.
  • Added Latin-1 encoding support for Neware CSV files.
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ECM parameterization, resistance scaling, custom variables, and BaSyTec reader

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ECM parameterization

A new ECM parameterization page lets you upload cycling data, select 0–5 RC pairs with a live circuit diagram, and view fitted parameters including OCV and R0. Results can be downloaded as CSV.Find out more →

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Adjust resistance in protocol simulations

The protocol simulator now uses Equivalent Circuit Models (ECM) instead of SPM for faster, more robust cycler protocol simulations. ECM parameter sets are available for all six supported chemistries, and a new resistance scaling parameter in the UI lets you adjust the overall cell resistance before running a simulation.Find out more →

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Custom variables on models

You can now define custom derived quantities on models — such as electrode potentials or temperature in different units — as PyBaMM expressions stored in the model configuration. These custom variables are evaluated at simulation time and included in result data, making it easy to track application-specific metrics across design sweeps.Find out more →

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BaSyTec battery cycler reader

Data processing now supports BaSyTec CSV exports (CTS, X50 series). The reader auto-detects BaSyTec files by header signature, parses HH:MM:SS.sss timestamps (including values above 24 hours), applies the correct current sign convention, and extracts start times from companion _meta.txt files.Find out more →
Improvements
  • Added dark mode with a theme toggle in the dashboard header.
  • Moved optimization templates from organization scope to project scope with project-level management pages.
  • Made optimization name optional when creating optimizations.
  • Added pagination to cell specification, instance, and measurement list endpoints.
  • Added OCV traces to drive cycle simulation result plots.
  • Unified EIS column naming to Z_Re [Ohm] / Z_Im [Ohm] across simulation, measurement ingestion, and frontend rendering.
Fixes
  • Fixed LumpedSPMR model crash due to a missing internal reference.
  • Fixed an issue where datafit setup configuration could be mutated between runs.
Improvements
  • Added support for computing lithium inventory from maximum stoichiometries without requiring maximum concentration values.
  • Adopted PyBaMM’s native model and experiment serialization.
  • Added abs as a unary operation for composed metrics.
Fixes
  • Fixed thermal model using incorrect heat generation variable in ECM.
  • Fixed trailing space in electrode balancing direction parameter names.
  • Fixed validation to discover sub-parameters inside function-based parameters.
Improvements
  • Unified EIS impedance columns to Z_Re [Ohm] / Z_Im [Ohm] with SI units and standard sign convention.
Fixes
  • Fixed CCCV resolution to apply consistently to all sub-steps within a protocol.
Improvements
  • Added local data caching for cell measurements, reducing repeated downloads.
  • Added pagination support (limit/offset) to cell list methods, returning a PaginatedList with a .total attribute.
  • Improved sign detection algorithm for measurement current data.
Improvements
  • Added BioLogic plain CSV reader for non-MPR exports.
  • Added automatic derivation of Z_Re and Z_Im from Z_Mod and Z_Phase when impedance components are missing.
Fixes
  • Fixed CSV reader to skip auto-detection for explicitly mapped columns.
  • Fixed plotting bugs in data visualization utilities.
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Protocols section, job cancellation, parameterized durations, and optimization management

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Dedicated Protocols section with parameterized input support

Studio now has a dedicated Protocols section where you can browse, edit, and clone saved experiment templates. Each protocol detail page shows the source YAML, a tabbed UCP/human-readable preview, and automatically detected input parameters with a generated parameters_schema. This makes it easy to build reusable, parameterized protocols and simulate them with different input values.Find out more →

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Cancel running jobs from Studio

You can now cancel pipelines, optimizations, and simulations directly from the UI. Each detail page shows a cancel button for in-progress jobs, with optimistic status updates and automatic rollback if the cancellation fails. On the backend, cancelling a parent job cascades to all child jobs.

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Protocol termination conditions and parameterized durations

Protocol simulations now support early termination based on variable conditions — useful for ending long protocols (e.g. multi-cycle Arbin tests) after a target number of cycles. Duration and termination end conditions also accept input['...'] references, enabling fully parameterized experiments such as eVTOL design optimization with variable cruise duration.Find out more →

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Edit and delete optimizations

Optimization name and description are now editable from the detail page, and you can delete optimizations with a confirmation dialog. The experiment-step validation toggle is also exposed as a per-objective setting, letting you control whether each objective validates against experiment steps.
Improvements
  • Added cancel buttons for running pipelines, optimizations, and simulations with cascading cancellation.
  • Added optimization editing (name and description) and delete with permission checks.
  • Exposed the validate-against-experiment-steps toggle on each optimization objective.
  • Unified table UI across optimizations, protocols, and pipelines — actions behind three-dot menus, clickable row names, no more “Actions” column header.
  • Added more plot variables to the protocol simulator results view.
  • Design parameters and experiment conditions are now preserved when rerunning simulations, and columns for differing parameters default to visible.
Fixes
  • Fixed 500 error when simulating non-UTF-8 protocol files (e.g. BioLogic .mps).
  • Fixed optimization detail page layout issues.
Improvements
  • Added support for input['...'] parameter references in protocol duration and termination end conditions.
Improvements
  • Added a way to end protocol simulations early when a variable condition is met.
  • Added support for Python-style list repetition (["step"] * N) in PyBaMM experiment strings.
  • Added support for cycle-index-based branching in Arbin protocol parsing.
Fixes
  • Fixed decoding of non-UTF-8 protocol files in the standalone simulator.
Improvements
  • Large request payloads (>512 KB) are now compressed automatically, reducing upload sizes significantly (e.g. 24.5 MB to 3.7 MB for typical serialized models).
  • Job status fields now use typed enums instead of raw strings.
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Protocol Builder launch, stronger optimization guardrails, and better data ingestion

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Protocol Builder is now available in Studio

Studio now includes a visual Protocol Builder with step editing, drag-and-drop ordering, YAML import/export, and backend-backed validation before upload. You can also configure global safety limits for current, voltage, and temperature directly in the builder.Find out more →

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Optimization setup is safer and easier to reuse

You can now clone optimizations and save them as reusable templates. Optimization runs also validate that fit parameters are actually used by at least one objective model before execution, helping catch invalid configurations earlier.

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Data ingestion and model setup got more robust

This week adds stronger cycler-data handling across formats and improves initialization behavior for fitting workflows, including more flexible parameter configuration defaults.
Improvements
  • Added pipeline edit/delete support with row actions, bulk delete, and permission checks.
  • Added a Simulations tab to parameterized model details for quicker navigation and management.
  • Added optimization cloning and “save as template” workflows.
  • Added simulation rerun actions and job resubmit support for failed jobs.
  • Added protocol YAML display on simulation result pages with input substitutions.
  • Added source metadata display for direct entry elements in pipeline details.
  • Validation views now surface partial-failure warnings instead of failing silently.
  • Timestamps across key tables now display as absolute datetimes.
  • Standalone and add-result protocol forms now hide initial SOC/temperature inputs when those values are explicitly defined in UCP global settings.
Fixes
  • Fixed validation charts so single-point series render visibly.
  • Fixed edge cases in new-user onboarding, including logout and empty-credit handling.
  • Pipeline submission now runs asynchronously to avoid blocking request handling.
Improvements
  • Added pre-run checks that reject fit parameters not used by objective models.
  • Fit parameter configs now allow omitted initial_value and compute defaults from bounds.
  • OCP balancing now supports GITT workflows with improved interpolation and safeguards.
  • Tuned optimizer defaults for more reliable convergence on real-world data.
  • Improved handling of large datasets during pulse-based fitting workflows.
  • Objective setup now supports better partial-result handling on solver failure paths.
Fixes
  • Fixed piecewise interpolation config roundtripping for 1D/2D direct-entry schemas.
  • Restored support for custom initial-state handling used by ECM and lumped SPMr workflows.
Improvements
  • Added validation to block oversized inline time series payloads (>1000 rows) with clear guidance to upload measurements and reference db: IDs.
Fixes
  • Non-idempotent API calls are no longer retried automatically.
  • Fixed current-sign normalization logic for mixed charge/discharge cycler exports that record absolute current values.
Improvements
  • Added a Gamry EIS reader with auto-detection for .dta and related impedance formats.
  • Improved multi-sheet Neware handling with better timestamp ordering and monotonic time reconstruction.
  • Numeric-string columns are now inferred and promoted more reliably during read/clean steps.
  • Added support for exporting self-contained inline configurations for local use.
Fixes
  • Fixed BioLogic reader handling for additional file variants.
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