Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
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How AI is reshaping physics learning
Artificial intelligence is revolutionizing physics by making complex concepts more intuitive, interactive, and personalized. From physics-informed neural networks to AI-powered simulations, these ...
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AI is rewriting the physics playbook for everyone
From classrooms to cutting-edge labs, AI is transforming how we learn, teach, and simulate physics. Educators are rethinking assignments, researchers are solving decades-old problems, and engineers ...
Cadence and Nvidia expand their AI partnership to close the sim-to-real gap in robotics, fusing physics engines with Nvidia’s ...
The original version of this story appeared in Quanta Magazine. When she was 10 years old, Rose Yu got a birthday present that would change her life—and, potentially, the way we study physics. Her ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...
Methodology of the CondensNet model. CondensNet is a physically constrained DL parametrisation coupled with a climate dynamics engine to support hybrid modelling. The network architecture mainly has ...
During surgery to correct an abnormal heartbeat, doctors rely on a mix of imaging and inference. Still, many critical details remain hidden. At RIT, artificial intelligence (AI) researchers want to ...
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