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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 edelmanChristoph bruderJulian arnoldDepartment of physicsDepartment of mathematicsUniversity of baselJulia labPhysical review lettersFrank schJulia 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 edelmanChristoph bruderJulian arnoldMartin seed fundJulia labDepartment of physicsArtificial intelligence laboratorySwiss national science foundationUniversity of baselDepartment of mathematicsInternational scienceFrank schComputer sciencePhysical reviewJulia programming languageSwitzerland 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 arnoldAlan edelmanChristoph bruderJulia labSwiss national science foundationDepartment of mathematicsUniversity of baselInternational scienceDepartment of physicsArtificial intelligence laboratoryMartin seed fundFrank schComputer sciencePhysical reviewJulia programming languageSwitzerland 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 bruderJulian arnoldAlan edelmanInternational scienceDepartment of physicsMartin seed fundJulia labArtificial intelligence laboratoryUniversity of baselSwiss national science foundationDepartment of mathematicsFrank schComputer sciencePhysical reviewJulia programming languageSwitzerland 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 statesPayel dasSteveng johnsonYoussef mrouehChris rackauckasInstitute for soldier nanotechnologiesWatson ai labJulia labUs army research officeNature machine intelligenceResearch officeMit ibm watson ai labPartial differential equationsHysics enhanced deep surrogate pedsIgh fidelity numerical solversSteveng johnson