Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
Abstract: Solving partial differential equations (PDEs) is omnipresent in scientific research and engineering and requires expensive numerical iteration for memory and computation. The primary ...
Abstract: Machine learning is a rapidly advancing field with diverse applications across various domains. One prominent area of research is the utilization of deep learning techniques for solving ...
UNet是一种具有编码器-解码器结构的卷积神经网络，最初被用于医学图像分割任务 ...
This repository contains the code for the paper Active Learning for Neural PDE Solvers (AL4PDE), introducing a modular and extensible active learning benchmark for time-dependent parametric PDE ...
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