Multilayer film design meets machine learning

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...
Michigan Technological University

Researchers Apply Machine Learning and AI in Search of Less Costly Electronic Structure Method

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
Science Daily

Machine learning takes materials modeling into new era

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...
Phys.org

New machine learning tool reveals atomic structure of ultra-thin film materials

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...
Frontiers

AI-Driven Complex Networks: Structure, Dynamics, and Intelligent Applications

In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential ...
Nanowerk

When machine learning shows its reasoning, electrocatalyst discovery accelerates

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
EurekAlert!

Learning to be simple: machine learning uncovers structures in finite simple groups

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...