Machine learning (ML) is rapidly emerging as a pivotal tool in the hydrogen energy industry
for the creation and optimization of electrocatalysts, which enhance key electrochemical …

The availability of an ever‐expanding portfolio of 2D materials with rich internal degrees of
freedom (spin, excitonic, valley, sublattice, and layer pseudospin) together with the unique …

Rising global energy demand, accompanied by environmental concerns linked to
conventional fossil fuels, necessitates a shift toward cleaner and sustainable alternatives …

By utilizing density functional theory (DFT), we explore the adsorption and sensing
performance of NO, NO 2, SO 2 and CO on intrinsic GaN/MoTe 2 heterostructure, vacancy …

Alloying and phase change engineering have been used as effective methods to enhance
catalytic performance. Herein, we have synthesized Ni x Mo 1− x Se 2 (x= 0–1) alloys by …

Currently, carbon dioxide reduction (CO 2 RR) can convert CO 2 into many high-value
hydrocarbon chemicals via electrochemical processes, contributing to achieving energy …

Electrocatalytic hydrogen evolution reaction (HER) is a promising strategy to solve and
mitigate the coming energy shortage and global environmental pollution. Searching for …

Hydrogen is recognized as a promising clean energy carrier for a sustainable future,
particularly with the growing attention towards green hydrogen production via …