Results 171 to 180 of about 60,171 (287)
Revisiting Electronegativity and Electronegativity Scales
openaire +1 more source
An ion‐dipole interaction based strategy is proposed to capture thermodynamically unstable solvents and restructure the coordination environment of calcium ions by introducing ionic liquid co‐solvents, thus suppressing excessive solvent decomposition. Therefore, a smooth and dense solid‐electrolyte interphase dominated by inorganic components is formed
Yunyun Gao +7 more
wiley +1 more source
Using a Hierarchical Molecular Structure-Based Method to Estimate the Physicochemical Properties of Halogen/Cyano-Substituted Alkanes. [PDF]
Ling Y, Cao CT, Cao C.
europepmc +1 more source
An anti‐swelling ion‐conductive hydrogel is developed via β‐cyclodextrin and Fe3+ synergism, enabling reliable underwater motion sensing and Morse code communication. Integrated with machine learning, the system achieves 98.6% accuracy in real‐time underwater handwriting recognition for rapid information transmission.
Hao Dong +13 more
wiley +1 more source
Integrating the Substituent Effect into the Wade-Mingos Rules for Dicarboranes. [PDF]
Wang SS +6 more
europepmc +1 more source
Electrides offer unique opportunities as catalyst supports for hydrogen evolution reactions. This study presents an electride‐supported Ru/Nd2ScSi2 catalyst exhibiting outstanding hydrogen evolution reaction performance and excellent stability. Anionic Ru species on the electride surface facilitate water dissociation and optimize hydrogen adsorption ...
Zhiqi Wang +5 more
wiley +1 more source
Forced bond ionization-driven design of ultralow lattice thermal conductivity materials for flexible thermoelectrics. [PDF]
Yang S +5 more
europepmc +1 more source
Se‐doping in sulfides facilitates the creation of S vacancies. The collaboration of Se‐doping and S vacancies not only induces lattice distortion to weaken the M─S bonds and lift the p‐band center for improved Na+ adsorption, but also increases the number of charge carriers for an improved electronic conductivity.
Chunyang Xu +9 more
wiley +1 more source
Machine Learning Prediction of BCS Superconductors without BCS Theory. [PDF]
Rhone TD, Sheils D, Krockenberger Y.
europepmc +1 more source

