Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

Metal-organic frameworks (MOFs) are porous materials that can be applied to modern technologies in energy storage, gas separation, carbon dioxide capture, catalysis, and many other areas. There are an ...

Computational modeling and simulation of nanomaterials strongly complement physical experiments. They enable the prediction of characteristics and processes under conditions difficult to replicate or ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

NEW YORK--(BUSINESS WIRE)--Schrödinger, Inc. (Nasdaq: SDGR), whose physics-based computational platform is transforming the way therapeutics and materials are discovered, today announced that it is ...

Alibaba released Qwen 3.5 Small models for local AI; sizes span 0.8B to 9B parameters, supporting offline use on edge devices.

Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...

Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...