Engineering
Porous media play a critical role in various industrial fields due to their complex pore networks and considerable specific surface areas. The transport and reaction phenomena within porous media are key factors influencing ...
Aug 20, 2024
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1
Computer Sciences
Dynamical systems describe the evolution of natural phenomena over time and space through mathematical frameworks, often using differential equations. Accurate predictions in these systems are crucial for various applications, ...
Jul 17, 2024
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4
Hi Tech & Innovation
Predicting extreme events is essential to the preparation and protection of vulnerable regions, especially at a time of climate change. The city of Santos on the coast of São Paulo state (Brazil) is Latin America's largest ...
Jun 21, 2024
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30
Computer Sciences
In a recent article published in the National Science Review, researchers have proposed a new operator learning framework called PIANO. PIANO uses self-supervised learning to extract representations containing physical invariants ...
Mar 14, 2024
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1
Machine learning & AI
Deep learning modeling that incorporates physical knowledge is currently a hot topic, and a number of excellent techniques have emerged. The most well-known one is the physics-informed neural networks (PINNs).
Feb 23, 2024
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8
Computer Sciences
American nuclear power plants generate more than 20% of the electricity, and half of the carbon-free electricity, in the United States. The nation's pressing demand for even more electricity—specifically carbon-free electricity ...
Jan 26, 2024
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12
Computer Sciences
Artists who bring to life heroes and villains in animated movies and video games could have more control over their animations, thanks to a new technique introduced by MIT researchers.
Dec 20, 2023
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33
Computer Sciences
Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.
Sep 19, 2023
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90
Computer Sciences
Last year, MIT researchers announced that they had built "liquid" neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing ...
Nov 15, 2022
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779
Computer Sciences
Multivariable calculus, differential equations, linear algebra—topics that many MIT students can ace without breaking a sweat—have consistently stumped machine learning models. The best models have only been able to answer ...
Aug 3, 2022
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