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Foundation AI models trained on physics, not words, are driving scientific discovery
While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...
Abstract: This work presents a comparative study on the use of Physics-Informed Neural Networks (PINNs) combined with the Lattice Boltzmann Method (LBM) for solving direct and inverse problems in ...
A major international study has uncovered a new biological clue that could help predict dementia long before memory problems arise. Researchers from the University of Cambridge and Zhejiang University ...
Gibbs was the first person to represent a phase interface by a dividing surface. He defined the dividing surface as a mathematical surface that has its own material properties and internal dynamics.
Six-Year Streak Highlights Team Dedication, Strategic Growth, and Industry Leadership. FAD's growth is anchored in a reputation for responsive, expert service, including a 4-hour emergency repair ...
DeepMind used physics-informed neural networks to find new solutions to Navier-Stokes equations. The AI uncovered a new family of singularities, later proven mathematically correct. The breakthrough ...
This port is a good pedagogical tool to learn how to implement traditional numerical solvers using modern deep learning software interfaces. The main changes are documented in the torch_cfd directory.
Going out to your car and finding a leak can make you worry about making it out of the driveway, let alone to the nearest auto repair shop. Depending on the severity of the leak, you may need to tow ...
Understanding airflow, heat transfer, and fluid behavior is critical when designing high-performance electronic systems. That’s where Computational Fluid Dynamics (CFD) comes in. CFD uses advanced ...
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