MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Researchers combine numerical modeling with neural networks to show how nanodiamond aggregation, magnetic fields, and surface ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

When his beloved dog was given months to live, an Australian man harnessed the power of machine learning and mRNA technology ...

Designed for insurers, asset managers, pension funds, and other long-term investors. In a world defined by volatility, persistent macro uncertainty and ever more complex investor objectives, ...

Motion systems expert Michael Everman discusses why design engineers are opting to bundle multi-axis precision into drop-in platforms.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Clinical research fellow and third‑year PhD student Dr Zara Arain Saqlan presented work linking obstetrics, environmental ...

Designing your own 3D prints gets easier once you understand tolerances, printability, material choice, and why iteration matters so much.