Impact of cavity on interatomic Coulombic decay

The impact of quantum light on interatomic Coulombic decay (ICD) is investigated. In ICD the excess energy of an excited atom A is efficiently utilized to ionize a neighboring atom B. In quantum light an ensemble of atoms A form polaritonic states which can undergo ICD with B. It is shown that this process is dramatically altered compared to classical ICD. The ICD rate depends sensitively on the atomic distribution and orientation of the ensemble. General consequences are discussed.

Anisotropic alloying of Re1−xMoxS2 nanosheets to boost the electrochemical hydrogen evolution reaction

Anisotropic atomic distribution of Re1−xMoxS2 alloy nanosheets enhanced their electrocatalytic performance toward the hydrogen evolution reaction.

Machine Learning Accelerated Genetic Algorithms for Computational Materials Search

A machine learning model is used as a surrogate fitness evaluator in a genetic algorithm (GA) optimization of the atomic distribution of Pt-Au nanoparticles. The machine learning accelerated genetic algorithm (MLaGA) yields a 50-fold reduction of required energy calculations compared to a traditional GA.

Machine Learning Accelerated Genetic Algorithms for Computational Materials Search

A machine learning model is used as a surrogate fitness evaluator in a genetic algorithm (GA) optimization of the atomic distribution of Pt-Au nanoparticles. The machine learning accelerated genetic algorithm (MLaGA) yields a 50-fold reduction of required energy calculations compared to a traditional GA.

Machine Learning Accelerated Genetic Algorithms for Computational Materials Search

A machine learning model is used as a surrogate fitness evaluator in a genetic algorithm (GA) optimization of the atomic distribution of Pt-Au nanoparticles. The machine learning accelerated genetic algorithm (MLaGA) yields a 50-fold reduction of required energy calculations compared to a traditional GA.