The precise imaging of many-body systems, which are comprised of many interacting particles, can help to validate theoretical ...
Graphene is stronger than steel and a better conductor that copper, making the two-dimensional material of particular ...
The original version of this story appeared in Quanta Magazine. Hard problems are usually not a welcome sight. But cryptographers love them. That’s because certain hard math problems underpin the ...
Bubble vision: researchers have discovered that triple-fermented beer feature the most stable beer foam heads (courtesy: AIP/Chatzigiannakis et al.) It’s well documented that a frothy head on a ...
Abstract: To achieve fast and accurate modeling of electrically large targets, this paper proposes a physics-data hybrid driven surface current learning method (PdEgatSCL), which can learn combined ...
Abstract: In this paper, we introduce SimGraph, a graph neural network-based proxy for the dynamic simulation of subsurface reservoirs. SimGraph decomposes reservoir geometry into sectors and utilizes ...
Scientists have detected a “Dirac fluid” in graphene, where electrons flow like a nearly perfect liquid and defy conventional physics. Credit: SciTechDaily.com Electrons in graphene can act like a ...
Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahçeşehir University, Istanbul 34349, Turkey Lab for Innovative Drugs (Lab4IND), ...
Laura holds a Master's in Experimental Neuroscience and a Bachelor's in Biology from Imperial College London. Her areas of expertise include health, medicine, psychology, and neuroscience.
This repo is the official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network" by Longxiang Jiang, Liyuan Wang, Xinkun Chu, Yonghao Xiao, and Hao Zhang ...
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