Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.

What if AI could discover breakthrough materials before we even test them? A new physics-informed AI model makes discovery faster and more reliable.

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

The 2026 hurricane season begins in just a few weeks, and The University of Arizona has released one of the latest long-range ...

That old model now looks even shakier because AI has changed the value of knowledge. Facts, summaries, polished paragraphs, ...

The painstaking process of formalization to verify proofs is starting to surge thanks to AI. That could radically change the ...

Bapco Energies is Bahrain's integrated energy company, driving the Kingdom's energy transition by managing and optimizing resources across upstream, downstream, and renewable portfolios. Bapco ...

The first experimental demonstration of KPZ behavior on 2D surfaces in space and time has been accomplished by a research team from the Cluster of Excellence ctd.qmat, located in Würzburg.

Artificial intelligence has long been seen as a way to supercharge drug development. | Artificial intelligence has long been seen as a way to supercharge drug development. But a whole new frontier of ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...

The Kardar Parisi Zhang equation models surface growth. After forty years, researchers confirmed its two dimensional behavior using polaritons in engineered materials.

Crystals, bacterial colonies, flame fronts: the growth of surfaces was first described in the 1980s by the ...