Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures using machine learning-based simulations. This information is crucial in ...

Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow approaches.

Iridium oxide is one of the most important—and most problematic—materials in the global push toward clean energy. It is ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures using machine learning-based simulations. This information is crucial in ...

2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...

U.S. branch of Japanese AI startup Matlantis, which uses atomic-scale AI-based simulation to accelerate global materials discovery, specializing in computational materials research to drive adoption ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.

As TECH SPARK Africa progresses into its next phase, UNESCO ROSA remains committed to working with partner institutions to ...

Scientists in Germany have shed light on how nanoscale imaging techniques like tip-enhanced Raman ...

As the climate crisis becomes a part of daily life with unprecedented heatwaves and cold snaps, technology to effectively remove greenhouse gases is ...

On September 25, 2025, Google DeepMind quietly released Gemini Robotics 1.5. To the casual observer, it may have seemed like ...

A generative AI framework rapidly designs optimized fuel cell catalyst layers that deliver significantly better performance ...