Engineers at the University of Pennsylvania have developed an AI technique using 'mollifier layers' to solve complex inverse partial differential equations more efficiently and with greater stability.
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Penn engineers use AI to solve some of science's most difficult math problems
A ripple tells you something happened, but not exactly what. That is the core problem behind a hard class of equations that ...
Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...
General Fusion’s Magnetized Target Fusion approach involves compressing a spherical tokamak plasma to achieve fusion conditions. This presentation will detail how the COMSOL Multiphysics® software was ...
Optical inverse problems, such as optical metrology and inverse optical design, have always been a research field of significant focus because of their wide applications in science and industry.
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