Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
MD&M East

What FDA’s New Machine Learning Guiding Principles Really Mean

Machine Learning has been an ongoing focus of FDA activity for some time. The first Industry Discussion Paper on the topic was launched back in 2019, followed by an Action Plan in 2021 aimed at ...

Machine learning model predicts protein binding on gold nanoclusters

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Forbes

How Machine Learning And AI Are Shaping Material Science

Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...
Tech Xplore on MSN

Efficient machine learning: Predicting material properties with limited data

Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed ...
Science Daily

A novel machine learning model for the characterization of material surfaces

Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists. Their ML-based model could be ...
Frontiers

Advances in Photovoltaic Materials and Devices Based on Two-Dimensional Systems and Nanomaterials for Solar Energy Conversion

Two-dimensional (2D) materials and nanomaterials have emerged as transformative candidates for next-generation photovoltaic (PV) and solar energy conversion ...
Que.com on MSN

Understanding AI: Breaking down machine learning, deep learning, and generative AI

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...