Results 161 to 170 of about 29,335 (305)
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Relativistic Diffusing Particles, Entropy and Varying Cosmological Constants. [PDF]
Haba Z.
europepmc +1 more source
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley +1 more source
What is neuromorphic about neuromorphic computing? [PDF]
Chakrabartty S, Thakur CS, Andreou AG.
europepmc +1 more source
Parameter Estimation as a Problem in Statistical Thermodynamics. [PDF]
Earle KA, Schneider DJ.
europepmc +1 more source
Title: Quantum-Enhanced Statistical Thermodynamics – Beyond the Boltzmann Distribution
Jincheng Zhang
openalex +1 more source
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
Statistical Thermodynamics of Order-Disorder in Interstitial Alloys
Gokcen, N.A.
doaj +1 more source
Title: Quantum-Enhanced Statistical Thermodynamics - Novel Phase Transition Models
Jincheng Zhang
openalex +1 more source

