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

Dec 6, 2021

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...

Improving Recovery in the Yates Field Using Dynamic Feedback Loop based on Physics-Informed Artificial Intelligence

Aug 24, 2020

Abstract We present a robust control system and methodology for physics-informed artificial intelligence (PAI) used to optimize and improve oil recovery, demonstrated in the Yates Field operated by the Kinder Morgan CO2 company. The system consists of a robust control...

Fluid-Soil-Structure Interaction Analysis of Tank for Seismic Evaluation of Nozzle Subjected to Differential Movement

Oct 23, 2018

This presentation summarizes the methodology and results from a recent seismic evaluation of a safety-class fire water storage tank. Tanks such as this are common at both DOE and NRC regulated nuclear facilities and their safety function following earthquake is relied...

Model-Based Profile Control for 200mm CMP: Easier than 300mm CMP or Not?

Sep 20, 2018

Motivation The last 3 years have seen an increased demand for analog, MEMS and RF chips, which has led to a shortage in both 200mm fab capacity as well as equipment. This has sparked a new interest among equipment makers to refurbish used 200mm tools, develop entirely...

Multiphysics Modeling for Equipment Performance Analysis and Control Design

May 10, 2018

In this talk, Dr. Ebert describes a set of applications where SC used COMSOL Multiphysics® for modeling. These models span the transport of heat, fluids and chemical species, structural mechanics, and electrochemistry. In each case, the models were either validated...
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Multiphysics Modeling for Equipment Performance Analysis and Control Design

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