Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...

The future of self-regulating microreactors may hinge less on artificial intelligence and more on the principles of physics. This represents a significant departure from the current trend in ...

In our world of AI-dominated algorithms, some nuclear physicists prefer to do science the old-fashioned way. And this newly developed physics-based, AI-free algorithm may be the breakthrough needed ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

A milestone in biology has been achieved thanks to artificial intelligence (AI) machine learning and applied physics. A new peer-reviewed study by researchers affiliated with Harvard John A. Paulson ...

Ansys integration will accelerate the shift towards physics-aware AI and agentic engineering tools, enabling companies to design increasingly complex, software-defined products across automotive, ...

Manas AI, a full-stack, AI native drug discovery and development company, today announced it has entered into a strategic agreement with Schrödinger, Inc. The agreement grants Manas AI significant ...

Luminary’s physics-AI models enable rapid aerodynamic and hydrodynamic engineering analysis. Credit: Luminary Cloud Luminary Cloud, a U.S. startup applying artificial intelligence (AI) to ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Physics-Constrained CNN Architecture for Atmospheric Temperature Retrieval. (A) Overall framework of our proposed retrieval model. (B) Detailed architecture of the attention module. (C) Detailed ...