Atomistic platform
A research workflow that brings together materials data, computational tools, and results in one workbench.
Product overview
ParAtom
A workbench for exploring materials candidates and organizing computational evidence. The goal is to help research teams move from a target property to a shortlist for further evaluation.
Unified tools Demonstrated
calculation tools available through a unified workflow
Validated Demonstrated
model results are evaluated against reference calculations
In progress Qualified
efficiency improvements remain under evaluation
What it is
Materials discovery with useful context.
The workbench helps research teams explore materials candidates and organize the evidence behind them. Further evaluation remains an important part of deciding whether a candidate is suitable for a particular application.
Current capabilities
Materials research workbench
MLIP throughput
Demonstrated high-throughput atomistic simulations for materials research workflows.
Governed loops
Guided discovery workflows that organize candidate generation, evaluation, and supporting evidence.
Next steps
Capabilities in progress
A1
Practical evaluation
Help teams assess whether promising candidates fit their application.
A2
Model limitations
Show where results need further evaluation.
A3
Evidence context
Record how candidates were evaluated and what remains to be done.
A4
Candidate summaries
Give research teams concise records they can review and share.
Who it is for
Materials research teams
01
Materials companies and sensor teams evaluating candidates for specific applications.
02
Research teams evaluating materials against a target application and coordinating the next steps in their workflow.
03
Teams can organize candidate results and plan further evaluation.
Current status. The workbench supports materials research workflows. Candidate generation and synthesis planning are still in development.