Now, the researchers have created a new class of shape-changing matter, based not on folds or cuts, but linkages — networks ...

Abstract: Existing diffusion-based methods for inverse problems sample from the posterior using score functions and accept the generated random samples as solutions. In applications that posterior ...

The Next Generation, which followed a very different crew of intrepid explorers on their voyages through the stars. The new ...

Nonlinear waves; integrable systems; solitons; mathematical modeling in social and behavioral science. The study of wave phenomena by means of mathematical models often leads to a certain class of ...

Researchers developed a hybrid generative AI framework that designs 3D energetic material grain structures to match ...

Abstract: The solution of a differential equation contains the forward model and the inverse problem. The finite element method (FEM) and the iterative approach based on FEM are extensively used to ...

Analytical chemists have been using machine learning long before ChatGPT made headlines. Now, as generative AI enters the ...

Companies have spent decades simplifying supply chains by concentrating risk onto a set of seemingly stable assumptions that ...

From ancient epics to contemporary fiction, drowning has been a recurring literary obsession — and an overlooked human ...

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 ...

️Flow matching is a recent state-of-the-art framework for generative modeling based on ordinary differential equations (ODEs). While closely related to diffusion models, it provides a more general ...

There are three Democrat candidates running in August for their party’s nomination for the Michigan’s 1st Congressional ...