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Physics-Based Modeling

Physics-Based Modeling

Physics-Based Modeling constructs mathematical and computational models grounded in fundamental physical laws. These models emphasize causality, conservation principles, and physical constraints. Physics-based modeling contrasts with purely data-driven approaches by prioritizing interpretability and predictive reliability. In physics, such models are used to describe mechanical systems, electromagnetic fields, thermal processes, and quantum systems. Physics-based models provide insight into system behavior under varied conditions. They are essential for extrapolation beyond observed data. These models form the foundation of simulation tools used in science and engineering. Combining physics-based modeling with numerical methods allows accurate and robust prediction. Physics-based modeling remains central to scientific understanding and technological development.

Committee Members
Speaker at Global Physics Innovation Conference 2026 - Thomas F Ramos

Thomas F Ramos

Lawrence Livermore National Laboratory, United States
Speaker at Global Physics Innovation Conference 2026 - Ephraim Suhir

Ephraim Suhir

Portland State University, United States
Speaker at Global Physics Innovation Conference 2026 - Alexander Unzicker

Alexander Unzicker

Pestalozzi Gymnasium Munchen, Germany
GPIC 2026 Speakers
Speaker at Global Physics Innovation Conference 2026 - Thomas J Webster

Thomas J Webster

Brown University, United States
Speaker at Global Physics Innovation Conference 2026 - Jon H Brasher

Jon H Brasher

Stelleo Scientific Foundation, United States
Speaker at Global Physics Innovation Conference 2026 - Jason Liu

Jason Liu

West Windsor-Plainsboro High School North, United States
Speaker at Global Physics Innovation Conference 2026 - Tom Lawrence

Tom Lawrence

Ronin Institute of Independent Scholarship 2.0, United Kingdom

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