[HTML][HTML] Application of machine learning in optimizing proton exchange membrane fuel cells: a review
R Ding, S Zhang, Y Chen, Z Rui, K Hua, Y Wu, X Li… - Energy and AI, 2022 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) as energy conversion devices for
hydrogen energy are crucial for achieving an eco-friendly society, but their cost and …
hydrogen energy are crucial for achieving an eco-friendly society, but their cost and …
[HTML][HTML] Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation
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 …
for the creation and optimization of electrocatalysts, which enhance key electrochemical …
How machine learning can accelerate electrocatalysis discovery and optimization
Advances in machine learning (ML) provide the means to bypass bottlenecks in the
discovery of new electrocatalysts using traditional approaches. In this review, we highlight …
discovery of new electrocatalysts using traditional approaches. In this review, we highlight …
Rational design of atomically dispersed metal site electrocatalysts for oxygen reduction reaction
K Wan, T Chu, B Li, P Ming, C Zhang - Advanced Science, 2023 - Wiley Online Library
Future renewable energy supply and a cleaner Earth greatly depend on various crucial
catalytic reactions for the society. Atomically dispersed metal site electrocatalysts (ADMSEs) …
catalytic reactions for the society. Atomically dispersed metal site electrocatalysts (ADMSEs) …
Machine learning-assisted exploration of the intrinsic factors affecting the catalytic activity of ORR/OER bifunctional catalysts
Oxygen reduction reaction and oxygen evolution reaction are pivotal in energy conversion.
Herein, we systematically studied the catalytic performance of Pt-doped dual transition metal …
Herein, we systematically studied the catalytic performance of Pt-doped dual transition metal …
Screening of single transition metal substitution in two-dimensional Mo2CTx MXene electrocatalyst with ultrahigh activity for oxygen reduction reaction
X Chen, Y Zhang, S Lin, H Zhang, X Zhao - Surfaces and Interfaces, 2023 - Elsevier
The growing family of two-dimensional transition-metal carbides, nitrides, and carbonitrides
(MXenes) have received increasing attention for electrocatalysis. In this work, the activity of …
(MXenes) have received increasing attention for electrocatalysis. In this work, the activity of …
Screening of transition metal-based MOF as highly efficient bifunctional electrocatalysts for oxygen reduction and oxygen evolution
X Chen, Y Li, X Zhao - Surfaces and Interfaces, 2023 - Elsevier
Designing efficient oxygen reduction reaction (ORR) and oxygen evolution reaction (OER)
electrocatalysts is momentous for energy storage and conversion, as well as sustainable …
electrocatalysts is momentous for energy storage and conversion, as well as sustainable …
Spontaneous internal electric field in heterojunction boosts bifunctional oxygen electrocatalysts for zinc–air batteries: theory, experiment, and application
Heterojunctions are a promising class of materials for high‐efficiency bifunctional oxygen
electrocatalysts in both oxygen reduction reaction (ORR) and oxygen evolution reaction …
electrocatalysts in both oxygen reduction reaction (ORR) and oxygen evolution reaction …
First-principles screening of Pt doped Ti2CNL (N= O, S and Se, L= F, Cl, Br and I) as high-performance catalysts for ORR/OER
Develo** high-activity and low-cost oxygen reduction reaction (ORR) and oxygen
evolution reaction (OER) bifunctional catalysts is strategic to metal-air batteries. Herein …
evolution reaction (OER) bifunctional catalysts is strategic to metal-air batteries. Herein …
[HTML][HTML] The role of machine learning in carbon neutrality: Catalyst property prediction, design, and synthesis for carbon dioxide reduction
Achieving carbon neutrality is an essential part of responding to climate change caused by
the deforestation and over-exploitation of natural resources that have accompanied the …
the deforestation and over-exploitation of natural resources that have accompanied the …