Carbon dioxide (CO2) is a primary driver of climate change in Earth's atmosphere. At the State University of New York at ...

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

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

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

The Alexander von Humboldt Foundation has awarded the Humboldt Research Award to Yuri Mishin (George Mason University, USA) and Sang Ho Oh (Korea Institute of Energy Technology, Republic of Korea). • ...

Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

The Department of Energy’s Genesis Mission stands as this generation’s great scientific endeavor.

Gone are the days when knowledge was a living entity transmitted or inherited in an AI-driven world. Instead, it has been ...

Astronomers at the Lowell Observatory in Flagstaff are using an innovative AI technique to revolutionize how meteors are ...

In the second quarter of 2024, the advanced materials sector demonstrated a dynamic blend of financial commitment, ...