Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

New machine learning framework predicts promising nucleoside hydrogels before they are synthesized and tested in the ...

This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Researchers at IMDEA Materials Institute have developed an artificial intelligence (AI)-based strategy to predict and assess ...

The electric nose device developed by UC Berkeley engineers. (Brandon Sánchez-Mejia/UC Berkeley) If you wind up with an upset ...

Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

The Trump administration wants a useful quantum computer in two years. Microsoft wants one in three. Independent researchers ...