Electrochemical synthesis of hydrogen peroxide from water and oxygen

SC Perry, D Pangotra, L Vieira, LI Csepei… - Nature Reviews …, 2019 - nature.com
H2O2 is important in large-scale industrial processes and smaller on-site activities. The
present industrial route to H2O2 involves hydrogenation of an anthraquinone and O2 …

Machine learning for computational heterogeneous catalysis

P Schlexer Lamoureux, KT Winther… - …, 2019 - Wiley Online Library
Big data and artificial intelligence has revolutionized science in almost every field–from
economics to physics. In the area of materials science and computational heterogeneous …

A review on challenges and successes in atomic-scale design of catalysts for electrochemical synthesis of hydrogen peroxide

S Siahrostami, SJ Villegas… - Acs …, 2020 - ACS Publications
Hydrogen peroxide is a valuable chemical oxidant with a wide range of applications in a
variety of industrial processes, especially in water sanitization. Electrochemical synthesis of …

Structure-Performance Descriptors and the Role of the Axial Oxygen Atom on M–N4–C Single-Atom Catalysts for Electrochemical CO2 Reduction

J Wang, M Zheng, X Zhao, W Fan - ACS Catalysis, 2022 - ACS Publications
Revealing and characterizing the catalytic sites, along with elucidating a convenient activity
descriptor, can provide essential guidance in determining efficient electrocatalytic catalysts …

Intermetallic nanocrystals: syntheses and catalytic applications

Y Yan, JS Du, KD Gilroy, D Yang, Y **a… - Advanced …, 2017 - Wiley Online Library
At the forefront of nanochemistry, there exists a research endeavor centered around
intermetallic nanocrystals, which are unique in terms of long‐range atomic ordering, well …

Data‐driven high‐throughput rational design of double‐atom catalysts for oxygen evolution and reduction

L Wu, T Guo, T Li - Advanced Functional Materials, 2022 - Wiley Online Library
Surging interests exist in double‐atom catalysts (DACs), which not only inherit the
advantages of single‐atom catalysts (SACs)(eg, ultimate atomic utilization, high activity, and …

Determining the adsorption energies of small molecules with the intrinsic properties of adsorbates and substrates

W Gao, Y Chen, B Li, SP Liu, X Liu, Q Jiang - Nature communications, 2020 - nature.com
Adsorption is essential for many processes on surfaces; therefore, an accurate prediction of
adsorption properties is demanded from both fundamental and technological points of view …

High-throughput screening of bimetallic catalysts enabled by machine learning

Z Li, S Wang, WS Chin, LE Achenie… - Journal of Materials …, 2017 - pubs.rsc.org
We present a holistic machine-learning framework for rapid screening of bimetallic catalysts
with the aid of the descriptor-based kinetic analysis. A catalyst database, which contains the …

Machine-Learning-Augmented Chemisorption Model for CO2 Electroreduction Catalyst Screening

X Ma, Z Li, LEK Achenie, H **n - The journal of physical chemistry …, 2015 - ACS Publications
We present a machine-learning-augmented chemisorption model that enables fast and
accurate prediction of the surface reactivity of metal alloys within a broad chemical space …

Applications of machine learning in alloy catalysts: rational selection and future development of descriptors

Z Yang, W Gao - Advanced Science, 2022 - Wiley Online Library
At present, alloys have broad application prospects in heterogeneous catalysis, due to their
various catalytic active sites produced by their vast element combinations and complex …