Designing better catalysts with HPC – DIC, SandboxAQ, and AWS collaborate for record quantum chemistry computation
HPC Blog
The article discusses a novel approach to designing better catalysts through high-performance computing on AWS, involving a collaboration between DIC (a chemical manufacturer), SandboxAQ (a SaaS company), and AWS.
Specifically, the article covers:
- The challenge of accurately modeling organometallic compounds for catalyst design using traditional computational methods.
- The use of SandboxAQ's QEMIST Cloud platform on AWS, which enables highly scalable and accurate quantum chemistry calculations using the incremental full configuration interaction (iFCI) method.
- Record-breaking simulations of organometallic catalyst candidates containing nickel, involving up to 2,200 Amazon EC2 instances, to accurately predict their catalytic activity.
- The benefits of iFCI in capturing important trends in catalytic activity, which were consistent with experimental observations and outperformed conventional density functional theory methods.
- Future plans to explore quantum computing for modeling catalysts, leveraging QEMIST Cloud's compatibility with AWS services like Amazon Braket.
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