David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

Abstract: This article derives and implements a computational physics model for model-based image reconstruction in magnetic particle imaging (MPI) applications. To our knowledge, this is the first ...

A Paris-based venture firm that has quietly shaped the quantum technology scenery is now making a much louder statement about Europe’s role in the future of computing, materials science, and sensing.

Adiabatic quantum computing An example problem represented by an energy landscape. Each point on the landscape represents a candidate solution. The deepest valley represents the actual solution with ...

WEST LAFAYETTE, Ind. — Sometimes to truly study something up close, you have to take a step back. That’s what Andrea Donnellan does. An expert in earth sciences and seismology, she gets much of her ...

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In 1900, mathematician David Hilbert presented his colleagues with a list of problems he believed both captured the present state of mathematics and the shape of its future. This year, 125 years later ...

Over the past few years, using artificial intelligence (AI) in drug discovery has stopped being a novelty; instead, it has become part of the standard toolkit across many early-stage programs.

The American Physical Society (APS) – the world’s largest organization of physicists – has awarded the 2026 Aneesur Rahman Prize for Computational Physics to Stefano Baroni, Professor of Condensed ...

John Clarke, Michel H. Devoret and John M. Martinis were recognized for work that made behaviors of the subatomic realm observable at a larger scale. By Katrina Miller and Ali Watkins John Clarke, ...