GitHub

Finite basis physics-informed neural networks (FBPINNs)

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...
IEEE

Inhomogeneous Media Inverse Scattering Problem Assisted by Swin Transformer Network

Abstract: A deep learning-assisted inversion method is proposed to solve the inhomogeneous background imaging problem. First, a noniterative method called the distorted-Born modified Born ...
Hosted on MSN

⭐ Warum Galaxien ab einer bestimmten Masse aufhören, Sterne zu bilden?

Die aktivsten Galaxien stellen irgendwann die Produktion von Sternen ein, doch die Astronomen hatten Mühe zu verstehen, warum dieses Phänomen bei einer ganz bestimmten Masse einsetzt. Ein ...
CNBC

Upstart chipmakers keep challenging Nvidia. This time it's Microsoft-backed D-Matrix

D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...
IEEE

L2O-ILT: Learning to Optimize Inverse Lithography Techniques

Abstract: Inverse lithography technique (ILT) is one of the most widely used resolution enhancement techniques (RETs) to compensate for the diffraction effect in the lithography process. However, ILT ...