Guangru Li

Guangru Li

Cambridge, UC, PKU
Email verificata su cam.ac.uk
Citato da 3638
optoelectronics materials fabrication physics informed ML reliability
Jingfan Wang, Ph.D.

Jingfan Wang, Ph.D.

Lead Project Manager@Flexiv Robotics | Stanford PhD
Email verificata su stanford.edu
Citato da 1883
AI for Climate Change Greenhouse Gas Mitigation Life Cycle Analysis Physics-informed ML
Sam Siewert

Sam Siewert

Associate Professor, Computer Science, California State University
Email verificata su csuchico.edu
Citato da 1033
Sensor Fusion Real-Time Systems Physics Informed ML High Performance Computing
Mathematics for Artificial Reasoning in Science (MARS) Initiative

Mathematics for Artificial Reasoning in Science (MARS) Initiative

Pacific Northwest National Laboratory
Email verificata su pnnl.gov
Citato da 901
Explainable AI Robust AI Physics-informed ML AI Assurance Human Machine Teaming
Smita Chakraborty

Smita Chakraborty

Researcher at Research Institutes of Sweden RISE
Email verificata su ri.se
Citato da 855
Physics-informed ML ML in Physics Quantum ML Theoretical Physics Particle Physics
Zeqing Jin

Zeqing Jin

University of California, Berkeley
Email verificata su berkeley.edu
Citato da 769
AI-driven and differential design optimization physics-informed ML additive manufacturing
Ben Moseley

Ben Moseley

Imperial College London
Email verificata su imperial.ac.uk
Citato da 742
Scientific Machine Learning Physics-Informed ML Geophysics Space
Yanwen Xu

Yanwen Xu

University of Texas at Dallas
Email verificata su utdallas.edu
Citato da 593
Quality and Reliability Data-Driven Methodologies Design Under Uncertainty Physics-Informed ML
Liqian Peng

Liqian Peng

Google
Email verificata su google.com
Citato da 534
In-Context Learning On-device LLM Physics-Informed ML Model Reduction
Wei Zhang

Wei Zhang

University of Alberta, Department of Physics,
Email verificata su ualberta.ca
Citato da 491
Seismic imaging Seimsic Inversion least-squares migration Physics-informed ML Wave
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