Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
The authors devise an efficient quantum approach to address the van der Waals interactions due to photoexcitations by approximating the Bethe-Salpeter equation. Both attractive/repulsive forces can ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...
A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The master’s in machine learning engineering from Drexel Engineering provides the skills needed to take on the transformation of science and technology and a successful career in an exciting ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results