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POSTECH scientists developed a high-entropy alloy that stays strong and flexible from –196 °C to 600 °C, opening new ...
Department of Materials Science and Engineering, Iowa State University, Ames, Iowa 50011, United States Materials and Process Simulation Center (MSC), California Institute of Technology, Pasadena, ...
Impact Statement: The Lorentz-Equivariant Quantum Graph Neural Network (Lorentz-EQGNN) presented in this study offers a significant leap in quantum machine learning for high-energy physics (HEP) ...
Micah Meiss, El Paso-Gridley;31;656;21.2 Brayden Stombaugh, Tri-Valley;30;576;19.2 Sam Edmundson, LeRoy;34;638;18.8 Kobe Walker, Normal Community;35;651;18.6 Logan ...
Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi 214122, China ...
By combining granular activated carbon (GAC) saturated with PFAS and mineralizing agents like sodium or calcium salts, the researchers applied a high voltage to generate temperatures exceeding ...
This paper proposes GSLTE, a graph structure learning method for MTAD ... GSLTE quantifies the direction and strength of the dependencies based on variable-lag transfer entropy which is achieved ...
SHRY (Suite for High-throughput generation of models with atomic substitutions implemented by python) is a tool for generating unique ordered structures corresponding to a given disordered structure.
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