Documentation

Matflow documentation

Every guide for running the platform well — 102 pages across 50 sections, from the first run to the API. The AI Copilot answers from these pages, so a citation in a chat always lands here.

102 pages indexed

Browse

Every guide, by section

Each section opens on its first page; the page list links straight to any guide. The sidebar on a guide page keeps you oriented.

Getting Started

3 pages in this section

Open →
What is Matflow?Accounts, verification and tiersRunning your first run

Stage Guides

9 pages in this section

Open →
Data Synthesis — synthetic data generationEvaluation — quality scoringPrediction — predictive modelingOptimization — multi-objective searchTEA — techno-economic analysisFull Pipeline — chaining stagesVirtual Screening — in-silico triageDesign of ExperimentsActive Learning — closing the loop

Data Preparation

2 pages in this section

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Supported formats & requirementsColumn roles & common mistakes

Models & Algorithms

5 pages in this section

Open →
Data Synthesis modelsThe prediction ensembleOptimization algorithmsModel zoo / foundation estimatorsModel Hub (auto-select, GP, serving)

Metrics Reference

2 pages in this section

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Evaluation metricsPrediction metrics

Account & Limits

4 pages in this section

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Tiers, quotas and limitsAccount securityBilling & subscriptionAPI keys

API Reference

1 page in this section

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API access

Troubleshooting

2 pages in this section

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Common errors & fixesFAQ

Glossary

1 page in this section

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Glossary of terms

Microplates & Liquid Handling

2 pages in this section

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Microplate designer (96/384 well layouts)Transfer maps & liquid-handling export

Instruments & Parsers

9 pages in this section

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Instruments page (parsing vendor files)XRD (X-ray diffraction)GC/MS (gas chromatography – mass spectrometry)UV-Vis spectroscopyFTIR spectroscopyNMR (1H / 13C)RheometryBattery cyclers & potentiostatsJCAMP-DX, Agilent CSV & Bio-Logic MPR

Electronic Lab Notebook

2 pages in this section

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ELN overviewRecord integrity & e-signatures

LIMS & Sample Tracking

2 pages in this section

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LIMS overviewSample lineage & aliquot trees

Inventory & Safety

2 pages in this section

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Inventory & reagent managementChemical safety, GHS & SDS

Barcodes & QR

1 page in this section

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Barcodes & QR codes for lab assets

Self-Driving Lab

3 pages in this section

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SDL closed loopOpentrons OT-2/Flex protocol generationLab edge agent, safety interlocks & E-stop

Collaboration

1 page in this section

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Real-time collaboration & LiveDesign

Advanced Visualization

4 pages in this section

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Visualizations & plotterChemiscope property explorerCALPHAD phase diagramsReaction DAGs & retrosynthesis trees

Mobile & Offline

1 page in this section

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PWA offline bench logger

SDK & API

1 page in this section

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Python SDK & API reference

Publication Dossier

1 page in this section

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Publication dossier generator

Community Exchange

1 page in this section

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Community model & protocol exchange

Benchmark Hub

1 page in this section

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Benchmark Hub — measured against reality

Domain Packs

5 pages in this section

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Formulations & CASEBatteries (PyBaMM-style)Polymers (QSPR)Alloys (CALPHAD & HEA)Catalysis

Kinetics

2 pages in this section

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Reaction kinetics fitting & transport diagnosticsReaction network studio

Reactor Engineering

1 page in this section

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Reactor engineering

Safety

1 page in this section

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Chemical safety & GHS studio

Literature Intelligence

4 pages in this section

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Literature Atlas & extractionResearch agent (autonomous research runs)Study credibility reviewProject literature library

Molecules

3 pages in this section

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Molecular structure tools (SMILES, viewers, sketcher)Generative & QSAR chemistryReaction networks & retrosynthesis

DFT & Quantum

1 page in this section

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DFT & quantum calculations

Atomistic

1 page in this section

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Atomistic simulations & slabs

Physics Fabric

1 page in this section

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Physics fabric engine cards

Molecular Dynamics

1 page in this section

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Molecular dynamics (GROMACS, OpenMM, LAMMPS)

Machine-Learned Potentials

1 page in this section

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Machine-learned interatomic potentials (MACE, CHGNet, M3GNet, EMT)

Docking & Free Energies

1 page in this section

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Docking, ensembles and free-energy networks

Characterization

1 page in this section

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Characterization workbench

Data Enrichment

1 page in this section

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Data enrichment

Synthesis Recipes

1 page in this section

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Synthesis recipes & GEMD

Bench Logger

1 page in this section

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Bench logger

Materials

2 pages in this section

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Materials searchSimilarity search

Export & Integrations

1 page in this section

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Export & integrations

Campaigns

1 page in this section

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Campaigns

Organizations

1 page in this section

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Organizations & team workspaces

Explorer

1 page in this section

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Explorer

AI Copilot & Pilot

5 pages in this section

Open →
Matflow Pilot — the AI assistantCapabilities & approvalsVisible page automation (drives)Memory, proactive help & recipesCampaign copilot (plan & run)

Document Vision

1 page in this section

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Document Vision (OCR, tables, charts)

Wizard

1 page in this section

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Experiment wizard

Ingestion

1 page in this section

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Data ingestion engine

Stability & Deactivation

1 page in this section

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Stability & deactivation

Sustainability & LCA

1 page in this section

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Life-cycle assessment & ESG
Shortcuts

The paths people take most

6 entry points that cover the first week with the platform.

Help center →
New to Matflow?What the platform is and how the four-stage workflow fits together.Run your first jobLoad a demo dataset, synthesize, evaluate, predict, optimize.Prepare your dataCSV/Excel requirements, column types and the mistakes that break models.Understand the numbersEvaluation and prediction metrics, uncertainty and extrapolation flags.Fix a failureCommon job, upload and result problems with the fix for each.Build on the APIAuth, resources and the interactive Swagger reference.

Looking for the API? The interactive reference lives at /api-docs — the plain-language guide is on the API page.

API page →