Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …

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 …

To achieve carbon neutrality, electrocatalysis has the potential to be applied in the
technological upgrading of numerous industries. Therefore, the search for high-performance …

Proton exchange membrane water electrolyzers (PEMWEs) have great potential as energy
conversion devices for storing renewable electricity into hydrogen energy. However, their …

Exploring high-activity and low-cost electrocatalysts for the hydrogen evolution reaction is
the key to develo** new energy sources, but it faces major challenges. Herein, a series of …

Few-atom catalysts, due to the unique coordination structure compared to metal particles
and single-atom catalysts, have the potential to be applied for efficient electrochemical CO 2 …

Atomically well-dispersed platinum catalysts play a vital role in various chemical processes
such as direct dehydrogenation of propane (PDH), due to their high performance originated …

Adsorption energy is an important descriptor of catalytic activity in modelling heterogeneous
catalysis and is used to guide novel catalyst discovery. Previously, graph neural networks …

The identification of synergistic effect of Pt-based alloys on hydrogen evolution reaction
(HER) requires a combination of experimental studies and theoretical calculations. Here, we …

Machine learning techniques have significantly transformed the way materials scientists
conduct research. However, the widespread deployment of machine learning software in …