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Accelerated Materials Design
Develop better materials, faster through advanced simulations
Page last modified
April 11 2024
SCM enables researchers to more quickly develop better molecules, materials, and chemical processes. Through advanced computational chemistry and materials modeling software focus on the most promising candidate materials and process conditions for the next generation of batteries, solar cells, catalysts ,and other materials which will drive the energy transition.
Pros & Limitations
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Reduced R&D costs
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Shorter development time
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Less wasteful experiments
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Prioritize most relevant experiments and promising candidate materials
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Find novel molecule & material candidates in silico
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It will not replace experiments
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Certain properties tough to predict through modeling
Specification
| Specification Title | Specification Description |
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Modelling
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Computational chemistry, materials modeling, and fluid thermodynamics.
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Machine learning
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Machine learned potentials and QSPR predictive models.
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Collaboration
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Co-created new functionality, e.g. multi-scale catalytic process optimization.
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Prediction
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Molecular, materials, and solvent mixture properties.
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Simulation tools
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Atomistic modeling
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Optimization
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Reduce R&D time and costs through advanced modeling.
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Data Analysis
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Advanced analytics for material properties optimization.
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Reviews
Technology Readiness Level
The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.
[8/9]
Development
Technology demonstration
Mature / Proven
Relative Business Impact
Solution Deployed By
Company Name
Total DeploymentsComment
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