Markus Buehler

McAfee Professor of Engineering
Department
Department of Civil and Environmental Engineering
Technology Areas
Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Quantum Computing / Electronics & Photonics: Quantum Technology / Industrial Engineering & Automation: Logistics / Sensing & Imaging: Optical Sensing
Impact Areas
Advanced Materials, Connected World

Technologies

A Method to Extract Physical Behavior Directly from Simple Visual Empirical Observation Via a Deep Learning Model, for a Material Agnostic Approach to Predicting Compressive Beam Buckling

Technology / Case number: #24061
Markus Buehler / Andrew Lew
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Industrial Engineering & Automation / Sensing & Imaging
Impact Areas: Connected World, Advanced Materials
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End-to-End Deep Learning Approach to Predict Complex Stress and Strain Fields Directly from Microstructural Images

Technology / Case number: #22477
Markus Buehler / Chi Hua Yu / Zhenze Yang
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science / Electronics & Photonics
Impact Areas: Advanced Materials
License

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