Matter42 products

From evidence to process intelligence

Characterize what you made, model how to make it better, and interrogate the literature behind every decision.

Literature

Structured paper database

Search papers as structured evidence: samples, recipes, measurements, figures, claims, and citations.

Atlas

Characterization + analysis

Turn spectroscopy, microscopy, and sample context into evidence-linked figures, maps, and material-quality decisions.

Apollo

Growth + simulation

Connect process conditions to material outcomes with multiscale simulation and structured growth intelligence.

Literature

Structured paper database

Search scientific evidence, not just documents

Matter42 Literature turns papers into a queryable research record. Explore materials, growth recipes, sample conditions, characterization results, figures, and claims without rebuilding the same spreadsheet paper by paper.

Search across papers, passages, claims, recipes, and observations
Compare sample conditions and characterization evidence directly
Trace structured values back to the figure, table, or passage

Explore the literature

sulfur vacancy Raman signatures in WS2

01

Defect-sensitive Raman modes in monolayer WS2

Raman · CVD · monolayer

3 sample conditions · 7 extracted observations

02

Vacancy engineering across 2D chalcogenides

PL + Raman · treatment study

5 figures · 12 evidence-linked claims

Values linked to source evidence

public access

Atlas

Characterization + analysis

Understand the material in front of you

Atlas gives scientists a shared workspace for raw measurements, analysis tools, sample context, and reviewable outputs. Ask a question in scientific language and get back figures and numbers tied to the evidence that produced them.

Raman, PL, XRD, AFM, microscopy, and tabular measurements
Spatial maps, clustering, defect estimates, and quality metrics
Figures, source files, calibration status, and caveats kept together

Explore characterization

Atlas workspace

WS2 Raman qualification

analysis ready

E2g FWHM · spatial map1,077 px

selected region

Low-defect interior

885 valid pixels after boundary masking

defect estimate

1.1%

calibrated

Evidence, method, and calibration status travel with the result.

Apollo

Growth + simulation

Reason across the scales of growth

Apollo organizes multiscale models around the process questions teams actually ask: which knobs control nucleation, uniformity, defects, and throughput, and what experiment should run next.

Atomistic, kinetic, reactor-scale, and surrogate models
Growth conditions translated into comparable process scenarios
Simulation outputs connected back to measured material quality

Apollo process model

WS2 growth scenario

01

Conditions

MOCVD · 750 °C

02

Kinetics

Nucleation + growth

03

Outcome

Domain + defect map

Predicted process window

scenario 04

Coverage91%

Uniformity84%

Low defect72%

AtomisticKineticReactor

One materials intelligence loop

Connect what the literature reports, what the model predicts, and what your instruments measure.

Try Literature — no account needed

Sign in

Matter42 products

From evidence to process intelligence

Characterize what you made, model how to make it better, and interrogate the literature behind every decision.

Literature

Structured paper database

Search papers as structured evidence: samples, recipes, measurements, figures, claims, and citations.

Atlas

Characterization + analysis

Turn spectroscopy, microscopy, and sample context into evidence-linked figures, maps, and material-quality decisions.

Apollo

Growth + simulation

Connect process conditions to material outcomes with multiscale simulation and structured growth intelligence.

Literature

Structured paper database

Search scientific evidence, not just documents

Matter42 Literature turns papers into a queryable research record. Explore materials, growth recipes, sample conditions, characterization results, figures, and claims without rebuilding the same spreadsheet paper by paper.

Search across papers, passages, claims, recipes, and observations
Compare sample conditions and characterization evidence directly
Trace structured values back to the figure, table, or passage

Explore the literature

sulfur vacancy Raman signatures in WS2

01

Defect-sensitive Raman modes in monolayer WS2

Raman · CVD · monolayer

3 sample conditions · 7 extracted observations

02

Vacancy engineering across 2D chalcogenides

PL + Raman · treatment study

5 figures · 12 evidence-linked claims

Values linked to source evidence

public access

Atlas

Characterization + analysis

Understand the material in front of you

Atlas gives scientists a shared workspace for raw measurements, analysis tools, sample context, and reviewable outputs. Ask a question in scientific language and get back figures and numbers tied to the evidence that produced them.

Raman, PL, XRD, AFM, microscopy, and tabular measurements
Spatial maps, clustering, defect estimates, and quality metrics
Figures, source files, calibration status, and caveats kept together

Explore characterization

Atlas workspace

WS2 Raman qualification

analysis ready

E2g FWHM · spatial map1,077 px

selected region

Low-defect interior

885 valid pixels after boundary masking

defect estimate

1.1%

calibrated

Evidence, method, and calibration status travel with the result.

Apollo

Growth + simulation

Reason across the scales of growth

Apollo organizes multiscale models around the process questions teams actually ask: which knobs control nucleation, uniformity, defects, and throughput, and what experiment should run next.

Atomistic, kinetic, reactor-scale, and surrogate models
Growth conditions translated into comparable process scenarios
Simulation outputs connected back to measured material quality

Apollo process model

WS2 growth scenario

01

Conditions

MOCVD · 750 °C

02

Kinetics

Nucleation + growth

03

Outcome

Domain + defect map

Predicted process window

scenario 04

Coverage91%

Uniformity84%

Low defect72%

AtomisticKineticReactor

One materials intelligence loop

Connect what the literature reports, what the model predicts, and what your instruments measure.

Try Literature — no account needed

Sign in

Matter42 products

From evidence to process intelligence

Characterize what you made, model how to make it better, and interrogate the literature behind every decision.

Literature

Structured paper database

Search papers as structured evidence: samples, recipes, measurements, figures, claims, and citations.

Atlas

Characterization + analysis

Turn spectroscopy, microscopy, and sample context into evidence-linked figures, maps, and material-quality decisions.

Apollo

Growth + simulation

Connect process conditions to material outcomes with multiscale simulation and structured growth intelligence.

Literature

Structured paper database

Search scientific evidence, not just documents

Matter42 Literature turns papers into a queryable research record. Explore materials, growth recipes, sample conditions, characterization results, figures, and claims without rebuilding the same spreadsheet paper by paper.

Search across papers, passages, claims, recipes, and observations
Compare sample conditions and characterization evidence directly
Trace structured values back to the figure, table, or passage

Explore the literature

sulfur vacancy Raman signatures in WS2

01

Defect-sensitive Raman modes in monolayer WS2

Raman · CVD · monolayer

3 sample conditions · 7 extracted observations

02

Vacancy engineering across 2D chalcogenides

PL + Raman · treatment study

5 figures · 12 evidence-linked claims

Values linked to source evidence

public access

Atlas

Characterization + analysis

Understand the material in front of you

Atlas gives scientists a shared workspace for raw measurements, analysis tools, sample context, and reviewable outputs. Ask a question in scientific language and get back figures and numbers tied to the evidence that produced them.

Raman, PL, XRD, AFM, microscopy, and tabular measurements
Spatial maps, clustering, defect estimates, and quality metrics
Figures, source files, calibration status, and caveats kept together

Explore characterization

Atlas workspace

WS2 Raman qualification

analysis ready

E2g FWHM · spatial map1,077 px

selected region

Low-defect interior

885 valid pixels after boundary masking

defect estimate

1.1%

calibrated

Evidence, method, and calibration status travel with the result.

Apollo

Growth + simulation

Reason across the scales of growth

Apollo organizes multiscale models around the process questions teams actually ask: which knobs control nucleation, uniformity, defects, and throughput, and what experiment should run next.

Atomistic, kinetic, reactor-scale, and surrogate models
Growth conditions translated into comparable process scenarios
Simulation outputs connected back to measured material quality

Apollo process model

WS2 growth scenario

01

Conditions

MOCVD · 750 °C

02

Kinetics

Nucleation + growth

03

Outcome

Domain + defect map

Predicted process window

scenario 04

Coverage91%

Uniformity84%

Low defect72%

AtomisticKineticReactor

One materials intelligence loop

Connect what the literature reports, what the model predicts, and what your instruments measure.

Try Literature — no account needed