Physics-informed Machine Learning for Control – DNN in a Dynamic Feedback Loop

This Case Study describes an approach to combining physical principles with Machine Learning (ML) for modeling and control of complex systems. Our approach was developed as part of a DARPA-funded research project. It was applied to oil reservoir management. While this Case Study provides an overview, technical details may be found in a separate publication [1].

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Wind Certification

Wind Certification Wind Compliance Ensures Robust Equipment Behavior and Protects Essential Services Wind Certification SC Solutions’ staff have expertise in wind loading and analysis, debris impact loading and analysis, and in providing wind compliance support...

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Seismic Certification Comprehensive & Cost-Effective Seismic Certification SC Solutions’ staff have experience with a variety of seismic qualification projects and can assist you with any seismic certification project you have. Seismic qualification can be...