Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...
The radiation environment near Earth remains a challenging topic of study due to its complex dynamics, spanning multiple energy and temporal scales. During ...
Abstract: We propose to learn the time-varying stochastic computational resource usage of software as a graph-structured Schrödinger bridge problem (SBP). In general, learning the computational ...
From powering search engines to securing data and optimizing networks, algorithms underpin nearly every aspect of modern technology. Understanding how efficiently they can solve problems — and where ...
State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
After many years of connecting brilliant minds with the world’s leading science employers, New Scientist Jobs has now closed. We want to express our heartfelt thanks to every employer, recruiter, and ...
Accurate thermochemical data with sub-chemical accuracy (i.e., within ±1 kcal/mol from sufficiently accurate experimental or theoretical reference data) is essential for the development and ...
We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...
Open Molecules 2025, an unprecedented dataset of molecular simulations, has been released to the scientific community, paving the way for the development of machine learning tools that can accurately ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results