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Evidence stays attached
Figures, tool outputs, citations, and caveats remain connected to the files and samples that produced them.
Materials characterization workspace
Faster learning from thin film and 2D semiconductor data.
Matter42 helps teams bring spectroscopy, microscopy, documents, and simulation outputs into one agentic workspace for evidence-linked characterization and process decisions.
ATLAS workspace
One place for messy materials evidence.
spectroscopy + simulation
Raman and PL
Maps, spectra, peaks
Parse hyperspectral measurements, inspect spatial patterns, and keep derived maps tied to the source data.
Microscopy
Images, masks, regions
Bring visual evidence into the same project context as spectra, notes, and derived defect labels.
Simulation
Models, sweeps, priors
Use physics-based context and synthetic calibration data to interpret noisy experimental measurements.
Why it matters
Materials decisions depend on more than one measurement.
Useful characterization often lives across Raman peaks, PL maps, microscope images, sample history, literature notes, and simulation results. Matter42 is built to keep that evidence together and make the reasoning reproducible.
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Domain tools do the heavy lifting
ATLAS-backed analysis turns spectra and maps into structured outputs instead of leaving interpretation in a generic chat thread.
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Teams share the same context
Experimentalists, modelers, and process engineers can work from the same project record without rebuilding context from scratch.
ATLAS workflow
From raw files to defensible characterization.
The product focus is practical: help materials teams inspect mixed data, run trusted analysis tools, and preserve the evidence behind each recommendation.
Collect evidence
Upload spectroscopy maps, microscope images, tabular measurements, papers, and simulation outputs into a shared project workspace.
Ask grounded questions
Use an agent that can cite project files, call domain tools, and explain how an answer follows from the data.
Compare material regions
Turn raw measurements into maps, clusters, region masks, and quantitative summaries that stay linked to each sample.
Decide what to do next
Connect characterization results to process notes and simulation context so teams can plan the next experiment with less ambiguity.
Process context
Use experiments and models to understand quality trends.
ATLAS can connect characterization outputs with process variables and simulation priors. The goal is not to replace expert judgment; it is to make the next question clearer and the supporting evidence easier to inspect.
MoS2 MOCVD process context
Real recipe nodes on a structured surface.
S/Mo is log-scaled so the optimum near 18 and the high-ratio backfire region both sit on screen.
13 vs 3 sampledcoverage: process contextQ, normalized quality
Materials scope
Built for thin film and 2D semiconductor programs.
Matter42 started with Raman and PL workflows for transition-metal dichalcogenides, but the workspace is designed for broader characterization programs where data, models, and documents all matter.
Transition-metal dichalcogenides
MoS2, WS2, WSe2, MoSe2Raman and PL workflows for defect density, linewidth shifts, clustering, and region-aware interpretation.
Thin film semiconductors
Growth, transfer, treatment, integrationProject memory that connects measurements to sample history, processing notes, and repeatable analysis steps.
Emerging layered materials
Graphene, hBN, alloys, heterostructuresA flexible workspace for combining spectroscopy, microscopy, documents, and simulation outputs as the material system evolves.
Shared project memory
Each analysis can carry sample context, source files, tool outputs, and notes forward so future work starts from the last reliable result instead of a folder of disconnected artifacts.
Work with us
Bring your characterization workflow into Matter42.
Have Raman or PL maps, microscopy, process notes, simulation outputs, or documents you need to interpret together? We can help assess where an ATLAS workflow would make the work faster and easier to defend.