BetaCitation Atlas

RESEARCH PAPER · ACS Catalysis · 2021

Machine Learning for Transition-Metal-Based Hydrogen Generation Electrocatalysts

Min Wang, Hongwei Zhu

Read original paper ↗

See where this research leads.

121 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Machine Learning for Transition-Metal-Based Hydrogen Generation ElectrocatalystsOriginalAn electrodeposited nano-porous and neural network-like Ln@HOF film for SO 2 gas quantitative detection via fluorescent sensing and machine learning53Accelerating Optimizing the Design of Carbon‐based Electrocatalyst via Machine Learning21Oxygen atoms substituting sulfur atoms of MoS2 to activate the basal plane and induce the phase transition for boosting hydrogen evolution40Research progress of MXene-based catalysts for electrochemical water-splitting and metal-air batteries121Analysis and modeling of high-performance polymer electrolyte membrane electrolyzers by machine learning56Ligand Enhanced Activity of In Situ Formed Nanoparticles for Photocatalytic Hydrogen Evolution10Self-assembled FeP/MoP co-doped nanoporous carbon matrix for hydrogen evolution application5Data-driven design of dual-metal-site catalysts for the electrochemical carbon dioxide reduction reaction35Machine learning for design principles for single atom catalysts towards electrochemical reactions116Wearable Eu@HOF luminescent fabric as a highly selective and sensitive optical synapse sensor for identification of six laboratory volatile compounds by neuromorphic computing35Theory‐Guided Machine Learning to Predict the Performance of Noble Metal Catalysts in the Water‐Gas Shift Reaction11Machine-Learning-Assisted Catalytic Performance Predictions of Single-Atom Alloys for Acetylene Semihydrogenation30Theoretical Advances in Understanding and Designing the Active Sites for Hydrogen Evolution Reaction279Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery552Theoretical Study on the High HER/OER Electrocatalytic Activities of 2D GeSi, SnSi, and SnGe Monolayers and Further Improvement by Imposing Biaxial Strain or Doping Heteroatoms20Designing catalysts via evolutionary-based optimization techniques18Eu(III) Functionalized Crystalline Polyimide Hydrogel Film as a Multifunctional Platform for Consecutive Sensing of Spermine and Copper Ions38Big Data in a Nano World: A Review on Computational, Data-Driven Design of Nanomaterials Structures, Properties, and Synthesis83Optimal design and flow-field pattern selection of proton exchange membrane electrolyzers using artificial intelligence60How machine learning can accelerate electrocatalysis discovery and optimization125Introduction to Electrocatalysts8Design of ammonia oxidation electrocatalysts for efficient direct ammonia fuel cells88Revisited electrochemical gas evolution reactions from the perspective of gas bubbles68A machine learning approach for predicting the performance of oxygen carriers in chemical looping oxidative coupling of methane9Enhanced electron penetration triggering interfacial charge redistribution in N-doped graphene-wrapped NiGd nanoparticles for coupling methanol electroreforming to H 2 production19Single and dual metal atom catalysts for enhanced singlet oxygen generation and oxygen reduction reaction46Ratio Fluorescent Detecting of Tryptophan and Its Metabolite 5‐Hydroxyindole‐3‐acetic Acid Relevant with Depression via Tb(III) Modified HOFs Hybrids: Further Designing Recyclable Molecular Logic Gate Connected by Back Propagation Neural Network50Advances in MXenes synthesis and MXenes derived electrocatalysts for oxygen electrode in metal-air batteries: A review21Europium chelate-anionic exchange functionalized covalent organic frameworks for the sensing of aristolochic acid a in humans and sulfamethoxazole/trimethoprim in surface water19Fine-structure sensitive deep learning framework for predicting catalytic properties with high precision9Accelerating the design and optimization of catalysts for the hydrogen evolution reaction in transition metal phosphides using machine learning18Dye sensitization of TiO2 relevant to photocatalytic hydrogen generation: Current research trends and prospects115Spinel‐Type Oxides for Acidic Oxygen Evolution Reaction: Mechanism, Modulation, and Perspective30Metal-based electrocatalysts with data-driven designed particle size for hydrogen evolution5Long‐Range SECCM Enables High‐Throughput Electrochemical Screening of High Entropy Alloy Electrocatalysts at Up‐To‐Industrial Current Densities30AI and ML for selecting viable electrocatalysts: progress and perspectives51Computational chemistry for water-splitting electrocatalysis239The formation of nickelalactone in CO2/C2H4 coupling reaction: A benchmark, dispersion correction, and energy decomposition analysis3Screening of transition metal dual-atom catalysts for hydrogen evolution reaction based on high-throughput calculation and searching surrogate prediction model using simple features20Nanodiamond: a promising metal‐free nanoscale material in photocatalysis and electrocatalysis32Machine-Learning-Assisted Descriptors Identification for Indoor Formaldehyde Oxidation Catalysts36Construction of Pt Single-Atom and Cluster/FeOOH Synergistic Active Sites for Efficient Electrocatalytic Hydrogen Evolution Reaction125Recent developments of single atom alloy catalysts for electrocatalytic hydrogenation reactions20Design and Synthesis of Electrocatalysts Base on Catalysis‐Unit Engineering32Machine‐Learning‐Assisted Discovery of Mechanosynthesized Lead‐Free Metal Halide Perovskites for the Oxidative Photocatalytic Cleavage of Alkenes22Identifying the key structural features of Ni-based catalysts for the CO2 methanation reaction28Terbium-doped cobalt-based metal–organic frameworks for electrocatalytic hydrogen production and polyethylene terephthalate plastic upcycling38Recent Advances in Ammonia Electrolysis for Sustainable Hydrogen Generation67Stable Europium(III) Metal–Organic Framework Fluorescence Probe for Intelligent Visualization Detection of Gossypol and Nitrofuran Antibiotics in Real Samples29Three birds with one stone: Electrocatalytic C–N coupling for carbon neutrality, nitrogen resource utilization, and urea synthesis26Recent advancements in two-dimensional transition metal dichalcogenide materials towards hydrogen-evolution electrocatalysis30Review of External Field Effects on Electrocatalysis: Machine Learning Guided Design32Recent Advances in the Large‐Scale Production of Photo/Electrocatalysts for Energy Conversion and beyond52Transition-metal atoms embedded MoTe2 single-atom catalyst for efficient electrocatalytic hydrogen evolution reaction13Machine learning-assisted design of transition metal-doped 2D WSn₂N₄ electrocatalysts for enhanced hydrogen evolution reaction11Bifunctional Oxygen Reduction/Evolution Reaction Activity of Transition Metal-Doped T-C3N2 Monolayer: A Density Functional Theory Study Assisted by Machine Learning14Study and prediction of photocurrent density with external validation using machine learning models8Machine learning-assisted the Ag/Ni(OH)2 heterostructure design for boosting electrocatalytic hydrogen evolution through charge redistribution7Unbiased dataset for methane dry reforming and catalyst design guidelines obtained by high-throughput experimentation and machine learning12Beyond activity: from machine learning screening to stability decoding on the study of self-supported metal phosphides in alkaline hydrogen evolution reaction4Controllable distribution of surface-modified MIL-53 with ruthenium nanoparticles on nickel foam and its high efficiency electrocatalytic hydrogen evolution1Data-guided design of double-atom catalysts for enhanced electrocatalytic performance7Machine learning and text mining approaches to design selective catalyst reduction synthesis routes5Machine Learning-Assisted Activation of Lattice Oxygen in Fe-Co3o4 Catalysts for Boosting Electrocatalytic Oxygen Evolution Reaction in Acidic Conditions0Atomic Adsorption Energies Prediction on Bimetallic Transition Metal Surfaces Using an Interpretable Machine Learning‐Accelerated Density Functional Theory Approach8Advanced theoretical modeling methodologies for electrocatalyst design in sustainable energy conversion28AI in single-atom catalysts: a review of design and applications28An insight into the application and progress of artificial intelligence in the hydrogen production industry: A review9Machine Learning Optimized FeCoMn‐Trimetallic MOF‐Decorated Nanofibers for Enhanced OER Catalysis14Deep machine learning-assisted MOF@COF fluorescence/colorimetric dual-mode intelligent ratiometric sensing platform for sensitive glutathione detection45A Data-Driven Algorithm for Dynamic Parameter Estimation of an Alkaline Electrolysis System Combining Online Reinforcement Learning and k-Means Clustering Analysis2Recent progress in the design and application of machine learning for the hydrogen evolution reaction in electrocatalysis and photocatalysis3A frontier for advancement in hydrogen generation from engineered MXenes: a mini review2A machine learning model with minimize feature parameters for multi-type hydrogen evolution catalyst prediction41Research progress of machine learning in the field of photocatalysis applications21Accelerating the screening of catalysts for hydrogen evolution reaction in graphene materials based on DFT calculations and machine learning5The application and research progress of d-band center theory in the field of water electrolysis49Design and Application of Electrocatalyst Based on Machine Learning33Machine Learning Assisted Materials Classification to Boost Catalyst Design for Electrochemical Oxidation5Optimized hydrogen production through machine learning: comparative analysis of electrolyzer technologies using hybrid renewable energy30Machine learning-driven alloy digital design for hydrogen storage: a review12Machine Learning Driven Synthesis of Cobalt Oxide Entrapped Heteroatom-Doped Graphitic Carbon Nitride for Enhanced Oxygen Evolution Reaction2Boosting Homogeneous Hydrogenation of CO2 via the Data‐Driven Approach2Structure Engineering of Transition-Metal-Based Catalysts toward Efficient Ethylene Glycol Oxidation: From Active Site Design to Techno-economic Analysis9Non-metal content optimization strategy based on density functional theory and machine learning: Enhancing the hydrogen evolution reaction performance of metal-doped catalysts5Synergizing Machine Learning with High‐Throughput DFT to Design Efficient Single‐Atom Catalysts for Hydrogen Evolution Reaction9Transition metal sulfide electrocatalysts for water Splitting: Bridging computational design and experimental advancements28Platinum-based electrocatalysts for efficient ammonia oxidation in low-temperature direct ammonia fuel cells: Insight into intrinsic mechanisms, activity regulation, and challenges24Prospects of AI in advancing green hydrogen production: From materials to applications9Opportunities and perspectives of artificial intelligence in electrocatalysts design for water electrolysis13Shining light on non-platinum-based electrocatalysts for efficient ammonia oxidation in low-temperature direct ammonia fuel cells: Fundamentals, progress, and perspectives4Enhanced Photocatalytic, Mechanical, and Optical Performance of Rare‐Earth–Doped Mg₂Si: First‐Principles Calculations and Machine Learning1Advances in Catalysts and Materials for Hydrogen Production0Electrochemical Ammonia Oxidation Reaction on Nickel‐Based Non‐Noble Metal Electrocatalysts: From Mechanistic Understanding to Practical Applications33Frontiers in electrocatalytic water splitting: Mechanistic pathways, catalytic engineering, and kinetic challenges33Towards green energy: Progress in metal-organic framework and their derived catalysts for hydrogen production through water-splitting via the hydrogen evolution reaction11Machine learning decoding of electronic thresholds in prediction of oriented generation of solar-induced oxidative reactive species and antibiotics degradation6Upcycling Plastic Waste: Ce-Doped Co-Based Metal–Organic Framework Synthesis Using Discarded Polyethylene Terephthalate and Electrooxidation of Polyethylene Terephthalate Hydrolysate Coupled with Hydrogen Production3Effect of gas mass transfer on hydrogen production at ampere-level current densities2Tuning the O p band center in Co3O4 catalysts by Fe doping for Switching lattice Oxygen-Mediated mechanism in Acidic oxygen evolution reaction10Machine learning-guided investigation of substitutional doping effects on the hydrogen evolution activity of two-dimensional heterojunctions of WS2/MS2 (M = Mo, Cr)7Graph neural networks reshaping the paradigm of electrocatalyst design for green hydrogen production10From prediction to materials design: machine learning in electrocatalytic water splitting1Synergistic enhancement of hydrogen evolution on MoS 2 by sulfur vacancy and transition metal doping: a DFT and machine learning study5Toward accelerated electrocatalyst design: synergistic integration of DFT, machine learning, and microkinetic modeling0XPEAK: an XRD-driven machine learning platform for predicting the catalyst-enhanced dehydrogenation peak temperature of MgH 28Optimizing Molecular Descriptors for Reliable Adsorption Energy Prediction on Transition Metal Nanoclusters0Performance and exergy analysis of a NaBH4/Al coupled hydrolysis hydrogen production solid oxide fuel cell hybrid turbofan system with integrated water circulation9AI-driven optimization of photocatalytic hydrogen production: Integrating techno-economic analysis and regional environmental constraints6Tailoring the Metal‐Organic Framework (MOF) Structures With Metal and Ligand Manipulating to Enhance Electrocatalytic Activity for Hydrogen Evolution Reaction4Machine Learning in Electrocatalysis0Discerning the underlying trends in electrocatalytic hydrogen evolution activity of MOF/MOF-derived materials using data-driven approach4Design, characterization, and dynamic behavior of atomically dispersed Pt catalysts for water splitting and oxygen reduction: From experimental insights to machine-learning-assisted analysis3Recent Advances in Nano‐Microstructured Catalysts for Electrochemical Seawater Electrocatalysis9Artificial intelligence shaping the future of hydrogen technologies6Recent Development in Boride‐Based Electrodes and Their Water‐Splitting Potential by Electrocatalysts0Experimental and Machine Learning-Assisted Discovery of 2D Materials for Hydrogen Evolution: From Fundamentals to Industrial Applications1Non‐Noble Metal Nanocatalysts for Hydrogen Evolution1Reaction: Electrochemistry needs agentic AI that explains as well as optimizes0Coordination Engineering of Dual-Atom Catalysts for Overall Water Splitting: Mechanistic Insights from Constant-Potential First-Principles and Machine Learning0Ortho-para hydrogen conversion by highly scalable metal-organic frameworks0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

121 direct citing papers saved. Showing the first 50 here; use Browse Matching Papers in the map for all loaded papers.

  1. An electrodeposited nano-porous and neural network-like Ln@HOF film for SO 2 gas quantitative detection via fluorescent sensing and machine learning

    Journal of Materials Chemistry A · 2021-01-01

    Xin Xu, Wanpeng Ma, Bing Yan

    Read original paper ↗ ·

  2. Accelerating Optimizing the Design of Carbon‐based Electrocatalyst via Machine Learning

    Electroanalysis · 2021-05-31

    Zhuochen Yu, Weimin Huang

    Read original paper ↗ ·

  3. Oxygen atoms substituting sulfur atoms of MoS2 to activate the basal plane and induce the phase transition for boosting hydrogen evolution

    Materials Today Energy · 2021-09-11

    Jingmin Ge, Dongbin Zhang, Jiaxing Jin, Xuzhao Han, Yiping Wang, Fazhi Zhang, Xiaodong Lei

    Read original paper ↗ ·

  4. Research progress of MXene-based catalysts for electrochemical water-splitting and metal-air batteries

    Energy storage materials · 2021-09-28

    Jingyuan Qiao, Lingqiao Kong, Shaokang Xu, Kaixian Lin, Wei He, Meng Ni, Qiushi Ruan, Peigen Zhang, Ying Liu, Wei Zhang, Long Pan, ZhengMing Sun

    Read original paper ↗ ·

  5. Analysis and modeling of high-performance polymer electrolyte membrane electrolyzers by machine learning

    International Journal of Hydrogen Energy · 2021-11-16

    Mehmet Erdem Günay, N. Alper Tapan, Gizem Akkoç

    Read original paper ↗ ·

  6. Ligand Enhanced Activity of In Situ Formed Nanoparticles for Photocatalytic Hydrogen Evolution

    ChemCatChem · 2021-11-29

    Zoe C. Simon, Eric M. Lopato, Maya Bhat, Paige J. Moncure, Sarah M. Bernhard, Sarah M. Bernhard, John R. Kitchin, Stefan Bernhard, Stefan Bernhard, Jill E. Millstone

    Read original paper ↗ ·

  7. Self-assembled FeP/MoP co-doped nanoporous carbon matrix for hydrogen evolution application

    Colloids and Surfaces A Physicochemical and Engineering Aspects · 2021-12-29

    Yuelong Xu, Na Li, Ran Wang, Liang Hua Xu, Zhiwei Liu, Tifeng Jiao, Zhenfa Liu

    Read original paper ↗ ·

  8. Data-driven design of dual-metal-site catalysts for the electrochemical carbon dioxide reduction reaction

    Journal of Materials Chemistry A · 2022-01-01

    Haisong Feng, Hu Ding, Peinan He, Si Wang, Zeyang Li, Zikang Zheng, Yusen Yang, Min Wei, Xin Zhang

    Read original paper ↗ ·

  9. Machine learning for design principles for single atom catalysts towards electrochemical reactions

    Journal of Materials Chemistry A · 2022-01-01

    Mohsen Tamtaji, Hanyu Gao, Md Delowar Hossain, Patrick Ryan Galligan, Hoilun Wong, Zhenjing Liu, Hongwei Liu, Yuting Cai, William A. Goddard, Zhengtang Luo

    Read original paper ↗ ·

  10. Wearable Eu@HOF luminescent fabric as a highly selective and sensitive optical synapse sensor for identification of six laboratory volatile compounds by neuromorphic computing

    Journal of Materials Chemistry A · 2022-01-01

    Xin Xu, Bing Yan

    Read original paper ↗ ·

  11. Theory‐Guided Machine Learning to Predict the Performance of Noble Metal Catalysts in the Water‐Gas Shift Reaction

    ChemCatChem · 2022-05-24

    Joyjit Chattoraj, Brahim Hamadicharef, Jian Feng Kong, Mohan Kashyap Pargi, Yingzhi Zeng, Chee Kok Poh, Luwei Chen, Fei Gao, Teck Leong Tan

    Read original paper ↗ ·

  12. Machine-Learning-Assisted Catalytic Performance Predictions of Single-Atom Alloys for Acetylene Semihydrogenation

    ACS Applied Materials & Interfaces · 2022-05-27

    Haisong Feng, Hu Ding, Si Wang, Yujie Liang, Yuan Deng, Yusen Yang, Min Wei, Xin Zhang

    Read original paper ↗ ·

  13. Theoretical Advances in Understanding and Designing the Active Sites for Hydrogen Evolution Reaction

    ACS Catalysis · 2022-06-30

    Fang Sun, Qing Hua Tang, De‐en Jiang

    Read original paper ↗ ·

  14. Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery

    Chemical Reviews · 2022-07-21

    Haoxin Mai, Tu C. Le, Dehong Chen, David Alan Winkler, Rachel A. Caruso

    Read original paper ↗ ·

  15. Theoretical Study on the High HER/OER Electrocatalytic Activities of 2D GeSi, SnSi, and SnGe Monolayers and Further Improvement by Imposing Biaxial Strain or Doping Heteroatoms

    Molecules · 2022-08-10

    Cuimei Li, Guangtao Yu, Xiaopeng Shen, Ying Li, Wei Chen

    Read original paper ↗ ·

  16. Designing catalysts via evolutionary-based optimization techniques

    Computational Materials Science · 2022-10-12

    Parastoo Agharezaei, Tanay Sahu, Jonathan P. Shock, Paul G. O’Brien, Kulbir Kaur Ghuman

    Read original paper ↗ ·

  17. Eu(III) Functionalized Crystalline Polyimide Hydrogel Film as a Multifunctional Platform for Consecutive Sensing of Spermine and Copper Ions

    ACS Applied Materials & Interfaces · 2022-10-25

    Xueping Quan, Bing Yan

    Read original paper ↗ ·

  18. Big Data in a Nano World: A Review on Computational, Data-Driven Design of Nanomaterials Structures, Properties, and Synthesis

    ACS Nano · 2022-11-15

    Ruoxi Yang, Caitlin A. McCandler, Oxana Andriuc, Martin Siron, Rachel Woods‐Robinson, Matthew K. Horton, Kristin Aslaug Persson

    Read original paper ↗ ·

  19. Optimal design and flow-field pattern selection of proton exchange membrane electrolyzers using artificial intelligence

    Energy · 2022-11-18

    Rui Wu Yang, Amira Mohamed, Kibum Kim

    Read original paper ↗ ·

  20. How machine learning can accelerate electrocatalysis discovery and optimization

    Materials Horizons · 2022-12-08

    Stephan N. Steinmann, Qing Wang, Zhi Wei Seh

    Read original paper ↗ ·

  21. Introduction to Electrocatalysts

    ACS symposium series · 2022-12-09

    Tenzin Ingsel, Felipe Martins de Souza, Ram Krishna Gupta

    Read original paper ↗ ·

  22. Design of ammonia oxidation electrocatalysts for efficient direct ammonia fuel cells

    EnergyChem · 2022-12-15

    Zhen-Hua Lyu, Jiaju Fu, Tang Tang, Jianan Zhang, Jin‐Song Hu

    Read original paper ↗ ·

  23. Revisited electrochemical gas evolution reactions from the perspective of gas bubbles

    Nano Research · 2022-12-23

    Weinan Yin, Yuntao Cai, Lingbin Xie, Hao Huang, Enchi Zhu, Junan Pan, Jiaqi Bu, Hao Chen, Ye Yuan, Zechao C. Zhuang, Longlu Wang

    Read original paper ↗ ·

  24. A machine learning approach for predicting the performance of oxygen carriers in chemical looping oxidative coupling of methane

    Sustainable Energy & Fuels · 2023-01-01

    Dewang Zeng, Yiwen Song, Mengmeng Wang, Yingjie Lu, Zehua Chen, Rui Xiao

    Read original paper ↗ ·

  25. Enhanced electron penetration triggering interfacial charge redistribution in N-doped graphene-wrapped NiGd nanoparticles for coupling methanol electroreforming to H 2 production

    Journal of Materials Chemistry A · 2023-01-01

    You Peng Xu, Qingsong Zhou, Tianlun Ren, Tiantian Liu, Hongjie Yu, Kai Deng, Ziqiang Wang, Liang Wang, Hongjing Wang

    Read original paper ↗ ·

  26. Single and dual metal atom catalysts for enhanced singlet oxygen generation and oxygen reduction reaction

    Journal of Materials Chemistry A · 2023-01-01

    Mohsen Tamtaji, Songhhua Cai, Wenting Wu, Tongchao Liu, Zhimin Li, Hsun‐Yun Chang, Patrick Ryan Galligan, Shin‐ichi Iida, Xiangrong Li, Faisal Rehman, Khalil Amine, William A. Goddard, Zhengtang Luo

    Read original paper ↗ ·

  27. Ratio Fluorescent Detecting of Tryptophan and Its Metabolite 5‐Hydroxyindole‐3‐acetic Acid Relevant with Depression via Tb(III) Modified HOFs Hybrids: Further Designing Recyclable Molecular Logic Gate Connected by Back Propagation Neural Network

    Advanced Healthcare Materials · 2023-02-11

    Kai Zhu, Xin Xu, Bing Yan

    Read original paper ↗ ·

  28. Advances in MXenes synthesis and MXenes derived electrocatalysts for oxygen electrode in metal-air batteries: A review

    Materials Science and Engineering B · 2023-03-08

    Muhammad Mudassar Aslam, Tayyaba Nооr, Naseem Iqbal

    Read original paper ↗ ·

  29. Europium chelate-anionic exchange functionalized covalent organic frameworks for the sensing of aristolochic acid a in humans and sulfamethoxazole/trimethoprim in surface water

    Talanta · 2023-06-23

    Xiaoqin Shen, Bing Yan

    Read original paper ↗ ·

  30. Fine-structure sensitive deep learning framework for predicting catalytic properties with high precision

    CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION) · 2023-07-01

    Yuzhuo Chen, Hao Wang, Bing Lu, Yi Qing Ni, Liang Cao, Yong Wang, Shanjun Mao

    Read original paper ↗ ·

  31. Accelerating the design and optimization of catalysts for the hydrogen evolution reaction in transition metal phosphides using machine learning

    Molecular Catalysis · 2023-07-31

    Mengbo Yan, Shizhi Dong, Yanshuai Li, Zhiyu Liu, Hewei Zhao, Zhenwei Ma, Fuyang Geng, Zhiyong Li, Chun Hua Wu

    Read original paper ↗ ·

  32. Dye sensitization of TiO2 relevant to photocatalytic hydrogen generation: Current research trends and prospects

    Journal of Photochemistry and Photobiology C Photochemistry Reviews · 2023-08-16

    Spandana Gonuguntla, Reddi Kamesh, Ujjwal Pal, Debabrata Chatterjee

    Read original paper ↗ ·

  33. Spinel‐Type Oxides for Acidic Oxygen Evolution Reaction: Mechanism, Modulation, and Perspective

    Advanced Energy and Sustainability Research · 2023-09-27

    Lei Lin, Qiang Fu, Ran Wang, Tai Yao, Xianjie Wang, Bo Song

    Read original paper ↗ ·

  34. Metal-based electrocatalysts with data-driven designed particle size for hydrogen evolution

    Chemical Engineering Journal · 2023-10-24

    Chang Liu, Shan Zhu, Fengxiang Sun, Biao Chen, Liying Ma, Chunsheng Shi, Naiqin Zhao

    Read original paper ↗ ·

  35. Long‐Range SECCM Enables High‐Throughput Electrochemical Screening of High Entropy Alloy Electrocatalysts at Up‐To‐Industrial Current Densities

    Small Methods · 2023-12-28

    Emmanuel Batsa Tetteh, Olga A. Krysiak, Alan Savan, Moonjoo Kim, Ridha Zerdoumi, Taek Dong Chung, Alfred Ludwig, Wolfgang W. Schuhmann

    Read original paper ↗ ·

  36. AI and ML for selecting viable electrocatalysts: progress and perspectives

    Journal of Materials Chemistry A · 2024-01-01

    Anastasiia Pavlovna Dmitrieva, Anna Fomkina, Chantal Tracey, Elizaveta A. Romanenko, Ali Ayati, Pavel V. Krivoshapkin, Elena Fedorovna Krivoshapkina

    Read original paper ↗ ·

  37. Computational chemistry for water-splitting electrocatalysis

    Chemical Society Reviews · 2024-01-01

    Licheng Miao, Wenqi Jia, Xuejie Cao, Lifang Jiao

    Read original paper ↗ ·

  38. The formation of nickelalactone in CO2/C2H4 coupling reaction: A benchmark, dispersion correction, and energy decomposition analysis

    Molecular Catalysis · 2024-03-11

    Youcai Zhu, Yue Mu, Haoqi Shen, Li Sun, Zuoxiang Zeng, Zhen Liu

    Read original paper ↗ ·

  39. Screening of transition metal dual-atom catalysts for hydrogen evolution reaction based on high-throughput calculation and searching surrogate prediction model using simple features

    Applied Surface Science · 2024-03-19

    Jiu-Ning Wang, Wei Xu, Jun He, Hao Ma, Wanglai Cen, Yu Shen

    Read original paper ↗ ·

  40. Nanodiamond: a promising metal‐free nanoscale material in photocatalysis and electrocatalysis

    Rare Metals · 2024-04-28

    Xiaowu Gao, Ziwei Zhao, Yang He, Saifei Fan, Keran Jiao, Si‐Yu Lou, Xin‐Yue Han, Pengfei Song, Rong Cai, Zhun Hu, Zhong‐Jie Jiang, Yongjie Wang, Jiaqi Zhu

    Read original paper ↗ ·

  41. Machine-Learning-Assisted Descriptors Identification for Indoor Formaldehyde Oxidation Catalysts

    Environmental Science & Technology · 2024-05-01

    Xinyuan Cao, Jisi Huang, Kexin Du, Yawen Tian, Zhixin Hu, Zhu Luo, Jinlong Wang, Yanbing Guo

    Read original paper ↗ ·

  42. Construction of Pt Single-Atom and Cluster/FeOOH Synergistic Active Sites for Efficient Electrocatalytic Hydrogen Evolution Reaction

    ACS Catalysis · 2024-05-06

    Yong‐Chao Zhang, Minghui Zhao, Jinting Wu, Yingnan Wang, Lufan Zheng, Fangwei Gu, Ji‐Jun Zou, Jian Ping Gao, Xiaodong Zhu

    Read original paper ↗ ·

  43. Recent developments of single atom alloy catalysts for electrocatalytic hydrogenation reactions

    Chemical Engineering Journal · 2024-05-08

    Zehua Jin, Yuting Xu, Manjeet Chhetri, Julia Wood, Brian Torreon, Fanglin Che, Ming Yang

    Read original paper ↗ ·

  44. Design and Synthesis of Electrocatalysts Base on Catalysis‐Unit Engineering

    Advanced Materials · 2024-05-09

    Zhe Zhang, Ziqi Zhang, Cailing Chen, Ruian Xu, Xiaobo Chen, Haiyan Lu, Zhan Shi, Yu Han, Shouhua Feng

    Read original paper ↗ ·

  45. Machine‐Learning‐Assisted Discovery of Mechanosynthesized Lead‐Free Metal Halide Perovskites for the Oxidative Photocatalytic Cleavage of Alkenes

    Advanced Science · 2024-05-28

    Yonghao Xiao, Khokan Choudhuri, Adisak Thanetchaiyakup, Wei Xin Chan, Xinwen Hu, Mansour Sadek, Ying Hern Tam, Ryan Guanying Loh, Sharifah Nadhirah Binte Shaik Mohammed, Kendric Jian Ying Lim, Ju Zheng Ten, Felipe Garcı́a, Vijila Chellappan, Tej Salil Choksi, Yee‐Fun Lim, Han Sen Soo

    Read original paper ↗ ·

  46. Identifying the key structural features of Ni-based catalysts for the CO2 methanation reaction

    Journal of Catalysis · 2024-06-03

    Zhixin Li, Xin‐Pu Fu, Chao Ma, Weiwei Wang, Jincheng Liu, Chun‐Jiang Jia

    Read original paper ↗ ·

  47. Terbium-doped cobalt-based metal–organic frameworks for electrocatalytic hydrogen production and polyethylene terephthalate plastic upcycling

    Chemical Engineering Journal · 2024-07-24

    Zhifang Guo, Min Liu, Lu Ga, Jun Ai

    Read original paper ↗ ·

  48. Recent Advances in Ammonia Electrolysis for Sustainable Hydrogen Generation

    ACS Sustainable Chemistry & Engineering · 2024-07-25

    Pravin T. Babar, Gerardine G. Botte

    Read original paper ↗ ·

  49. Stable Europium(III) Metal–Organic Framework Fluorescence Probe for Intelligent Visualization Detection of Gossypol and Nitrofuran Antibiotics in Real Samples

    Inorganic Chemistry · 2024-07-29

    Yu Su, Yichen Guo, Qi Wu, Linxia Wang, Yifei Wang, Guo‐Ping Yang, Wen‐Yan Zhang, Yao‐Yu Wang

    Read original paper ↗ ·

  50. Three birds with one stone: Electrocatalytic C–N coupling for carbon neutrality, nitrogen resource utilization, and urea synthesis

    Renewable and Sustainable Energy Reviews · 2024-08-18

    Zhijie Cui, Honghai Wang, Chunli Li, Wenchao Peng, Jiapeng Liu

    Read original paper ↗ ·
More citing papers →
Citation Atlas · A map of research, not a ranking.