Phys.org

Deep learning method enables efficient Boltzmann distribution sampling across a continuous temperature range

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...
Hosted on MSN

Boltzmann Brain Theory Suggests the Universe May Be an Illusion

The Boltzmann Brain paradox questions whether reality itself is an illusion created by a single self-aware entity. Charlie Kirk shooting suspect identified by officials: Latest updates La Niña has 71% ...
C&EN

Reactive Active Learning: An Efficient Approach for Training Machine Learning Interatomic Potentials for Reacting Systems

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...
C&EN

Antioxidants: The Chemical Complexity Behind a Simple Word

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. What does the word antioxidant mean? Antioxidants are supposed to be nontoxic, ...
GitHub

Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems.

Official Code for the paper "Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems" (under submission, preprint available at arXiv ...
IEEE

Impact of Super-Gaussian Distribution on Shaping Gain of Probabilistic Shaping 64QAM in Turbulence-Induced Coherent Free-Space Optical Communication Systems

Abstract: The impact of introducing super-Gaussian distribution based probabilistic shaping in FSO systems under turbulence is investigated for the first time. Results indicate a 4% maximum ...