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.
Ephraim Suhir
Portland State University, United States
Alexander Unzicker
Pestalozzi Gymnasium Munchen, Germany
Paulo Cesar De Morais
University of Brasilia, Brazil
Thomas J Webster
Brown University, United States
Jon H Brasher
Stelleo Scientific Foundation, United States
Tom Lawrence
Ronin Institute of Independent Scholarship 2.0, United Kingdom
Wenjie Liu
University of Oxford, United KingdomSubmit your abstract Today
Title : Photoaligned azodye nanolayers: New trends for liquid crystal devices
Vladimir Chigrinov, Hong Kong University of Science and Technology, Hong Kong
Title : Where is modern physics heading? Why constants of nature matter
Alexander Unzicker, Pestalozzi Gymnasium Munchen, Germany
Title : Global photochemical model CHARM-DE of the earth’s atmosphere for altitudes 0-130 km
Alexei Krivolutsky, Central Aerological Observatory (CAO), Russian Federation
Title : Nonlinear plasma wave excitation in cylindrical semiconductor waveguides
Amir Sohail, COMSATS University Islamabad, Pakistan
Title : Characterization of quaternary alloy
Yarub Al Douri, European Academy of Sciences, Belgium
Title : Using physics to eliminate implant infection in over 25000 patients to date
Thomas J Webster, Brown University, United States