He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...
Time‐Domain Electromagnetic Forward and Inverse Modeling Using a Differentiable Programming Platform
Abstract: Theory‐guided deep‐learning techniques play an increasingly essential role in scientific computing. Recent advances in high‐performance tensor processing hardware and software are also ...
The mechanical behavior of viscoelastic materials is influenced, among other factors, by parameters like time and temperature. The present paper proposes a methodology for a thermorheologically and ...
A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...
Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...
Abstract: The MATLAB toolbox YALMIP is introduced. It is described how YALMIP can be used to model and solve optimization problems typically occurring in systems and control theory. In this paper, ...
Computational Methods and Modeling for Engineering Applications (GENG 8030) is a foundational graduate course in the Master of Engineering (MEng) program at the University of Windsor. This course ...
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