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Efficient Technique Developed at MIT Could Solve Partial Differential Equations for Various Applications

In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight into how some of the most complicated physical and natural systems in the world function.To solve these

United statesChris rackauckasPayel dasSteveng johnsonYoussef mrouehInstitute for soldier nanotechnologiesJulia labUs army research officeWatson ai labNature machine intelligenceResearch office

Technique could efficiently solve partial differential equations for numerous applications

Technique could efficiently solve partial differential equations for numerous applications
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United statesPayel dasSteveng johnsonYoussef mrouehChris rackauckasWatson ai labInstitute for soldier nanotechnologiesUs army research officeJulia labNature machine intelligenceResearch office

Technique could efficiently solve partial differential equations for numerous applications

Technique could efficiently solve partial differential equations for numerous applications
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United statesPayel dasYoussef mrouehSteveng johnsonChris rackauckasWatson ai labJulia labNature machine intelligenceNature machine

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

New Technique Streamlines Solving of Partial Differential Equations

New Technique Streamlines Solving of Partial Differential Equations
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United statesPayel dasSteveng johnsonYoussef mrouehChris rackauckasUs army research officeJulia labWatson ai labInstitute for soldier nanotechnologiesNature machine intelligenceResearch office