Tiffanwy Klippel-Cooper of OmnigeniQ explains how physics-based modelling could help researchers better understand drug ...

Following the beginning of the COVID-19 outbreak, lateral flow assays (LFAs)—the category of test strips in which the ...

A computational physics approach to modeling rigid object motion using spring forces in Python. This focuses on how spring ...

A research team has identified environmental interactions as the cause of ultrafast electronic decoherence in solids, a long-standing open question in quantum physics.

Through new improvements to existing AI models, researchers in China have created a framework that can methodically identify useful new forms of solid carbon. With their approach, Zhibin Gao and ...

Cadence’s leadership in agentic AI is expanded by integrating portfolio of chip and system design solutions with NVIDIA’s ...

Existing loss of well control event indicators fall short of predicting events in an accurate and timely manner due to a lack ...

Get ready for the most realistic MotoGP racing yet with the groundbreaking physics overhaul in MotoGP 26. But will it be too ...

Researchers at The University of Manchester have developed a new physics‑based artificial intelligence approach that, for the first time, enables accurate global‑scale predictions of how dissolved ...

Australia’s quantum push is accelerating, with real systems, bold timelines, and breakthroughs like quantum twins signaling a ...

Normal Computing Corp., a startup that’s trying to reinvent the fundamental physics of artificial intelligence, said today it has raised $50 million in a Series B funding round led by Samsung Catalyst ...

University physics and astronomy programmes are in a period of rapid transition. Shifts in student demographics, technological acceleration, and growing ...