When a high-energy electron beam collides head-on with an intense laser pulse, the electrons scatter the light and emit ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...

Department of Physics, Faculty of Engineering and Natural Sciences, Hitit University, 19030 Çorum, Turkey Department of Chemistry, Faculty of Arts and Sciences, Middle East Technical University, 06800 ...

Introduction: Under global climate change and intensified human activities, species distributions are undergoing significant shifts. Marmota baibacina, a representative keystone species among Central ...

Mini cranes play a pivotal role in construction due to their versatility across numerous scenarios. Recent advancements in Reinforcement Learning (RL) have enabled agents to operate cranes in virtual ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

Guizhou Provincial Key Laboratory of Computational Nano-Material Science, Guizhou Education University, Guiyang 550018, P. R. China ...

Following a concerted legal push by Washington Attorney General Nick Brown and his counterparts from 15 other states, the Trump administration has backed down in court, agreeing to stop the ...