Prediction of Oxygen Evolution Activity for NiCoFe Oxide Catalysts via Machine Learning

Electronically Modified Atomic Sites Within a Multicomponent Co/Cu Composite for Efficient Oxygen Electroreduction

(2021) Qingran Zhang et al.   Advanced Energy Materials

Machine learning-accelerated prediction of overpotential of oxygen evolution reaction of single-atom catalysts

(2021) Lianping Wu et al.   iScience

Designing Optimal Integrated Electricity Supply Configurations for Renewable Hydrogen Generation in Australia

(2021) Muhammad Haider Ali Khan et al.   iScience

Modeling solid solution strengthening in high entropy alloys using machine learning

(2021) Cheng Wen et al.   ACTA MATERIALIA

Encoding the atomic structure for machine learning in materials science

(2021) Shunning Li et al.   Wiley Interdisciplinary Reviews-Computational Molecular Science

Understanding the activity and stability of flame-made Co3O4 spinels: A route towards the scalable production of highly performing OER electrocatalysts

(2021) Thanh Tran-Phu et al.   CHEMICAL ENGINEERING JOURNAL

Engineering Isolated Mn–N2C2 Atomic Interface Sites for Efficient Bifunctional Oxygen Reduction and Evolution Reaction

(2020) Huishan Shang et al.   NANO LETTERS

A strategy combining machine learning and multiscale calculation to predict tensile strength for pearlitic steel wires with industrial data

(2020) Xue Jiang et al.   SCRIPTA MATERIALIA

Opportunities and Challenges for Renewable Power-to-X

(2020) Rahman Daiyan et al.   ACS Energy Letters

C60-Adsorbed Single-Walled Carbon Nanotubes as Metal-Free, pH-Universal, and Multifunctional Catalysts for Oxygen Reduction, Oxygen Evolution, and Hydrogen Evolution

(2019) Rui Gao et al.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

Unsupervised word embeddings capture latent knowledge from materials science literature

(2019) Vahe Tshitoyan et al.   NATURE

Using Artificial Intelligence To Forecast Water Oxidation Catalysts

(2019) Regina Palkovits et al.   ACS Catalysis

Atomically Dispersed Binary Co‐Ni Sites in Nitrogen‐Doped Hollow Carbon Nanocubes for Reversible Oxygen Reduction and Evolution

(2019) Xiaopeng Han et al.   ADVANCED MATERIALS

Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models

(2019) Yan Zhang et al.   ACTA MATERIALIA

Accelerated Discovery of Large Electrostrains in BaTiO3 -Based Piezoelectrics Using Active Learning

(2018) Ruihao Yuan et al.   ADVANCED MATERIALS

An materials informatics approach to Ni-based single crystal superalloys lattice misfit prediction

(2018) Xue Jiang et al.   COMPUTATIONAL MATERIALS SCIENCE

Electrospun Carbon Nanofibers Encapsulated with NiCoP: A Multifunctional Electrode for Supercapattery and Oxygen Reduction, Oxygen Evolution, and Hydrogen Evolution Reactions

(2018) Subramani Surendran et al.   Advanced Energy Materials

Unprecedented Synthesis of Holey 2D Layered Double Hydroxide Nanomesh for Enhanced Oxygen Evolution

(2018) Mingli Qin et al.   Advanced Energy Materials

Nickel-Based Electrocatalysts for Energy-Related Applications: Oxygen Reduction, Oxygen Evolution, and Hydrogen Evolution Reactions

(2017) Varun Vij et al.   ACS Catalysis

Machine-learning-assisted materials discovery using failed experiments

(2016) Paul Raccuglia et al.   NATURE

Accelerated search for materials with targeted properties by adaptive design

(2016) Dezhen Xue et al.   Nature Communications

Toward the rational design of non-precious transition metal oxides for oxygen electrocatalysis

(2015) Wesley T. Hong et al.   Energy & Environmental Science

Descriptors of Oxygen-Evolution Activity for Oxides: A Statistical Evaluation

(2015) Wesley T. Hong et al.   Journal of Physical Chemistry C

Discovering Ce-rich oxygen evolution catalysts, from high throughput screening to water electrolysis

(2014) Joel A. Haber et al.   Energy & Environmental Science