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Scientists Use GenAI to Uncover New Insights in Materials Science

Scientists Use GenAI to Uncover New Insights in Materials Science
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Alan Edelman , Christoph Bruder , Julian Arnold , Department Of Physics , Department Of Mathematics , University Of Basel , Julia Lab , Physical Review Letters , Frank Sch , Julia Programming Language ,

Scientists use generative AI to answer complex questions in physics

Scientists use generative AI to answer complex questions in physics
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Alan Edelman , Christoph Bruder , Julian Arnold , Martin Seed Fund , Julia Lab , Department Of Physics , Artificial Intelligence Laboratory , Swiss National Science Foundation , University Of Basel , Department Of Mathematics , International Science , Frank Sch , Computer Science , Physical Review , Julia Programming Language , Switzerland Lockheed Martin Seed Fund ,

AI Utilized by Scientists to Tackle Tough Physics Queries

AI Utilized by Scientists to Tackle Tough Physics Queries
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Julian Arnold , Alan Edelman , Christoph Bruder , Julia Lab , Swiss National Science Foundation , Department Of Mathematics , University Of Basel , International Science , Department Of Physics , Artificial Intelligence Laboratory , Martin Seed Fund , Frank Sch , Computer Science , Physical Review , Julia Programming Language , Switzerland Lockheed Martin Seed Fund ,

Scientists use generative AI to answer complex questions in physics

Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches. The work was led by researchers at MIT and the University of Basel. ....

Christoph Bruder , Julian Arnold , Alan Edelman , International Science , Department Of Physics , Martin Seed Fund , Julia Lab , Artificial Intelligence Laboratory , University Of Basel , Swiss National Science Foundation , Department Of Mathematics , Frank Sch , Computer Science , Physical Review , Julia Programming Language , Switzerland Lockheed Martin Seed Fund ,

Technique could efficiently solve partial differential equations for numerous applications

MIT researchers propose a "physics-enhanced deep-surrogate" (PEDS) method for developing data-driven surrogate models for complex physical systems in such fields as mechanics, optics, thermal transport, fluid dynamics, physical chemistry, and climate modeling. ....

United States , Payel Das , Steveng Johnson , Youssef Mroueh , Chris Rackauckas , Institute For Soldier Nanotechnologies , Watson Ai Lab , Julia Lab , Us Army Research Office , Nature Machine Intelligence , Research Office , Mit Ibm Watson Ai Lab , Partial Differential Equations , Hysics Enhanced Deep Surrogate Peds , Igh Fidelity Numerical Solvers , Steveng Johnson , Payel Das , Youssef Mroueh , Chris Rackauckas , Aphaël Pestourie , Julia Programming Language , Cientific Machine Learning Sciml ,