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Weizhi Tian

ORCID: 0000-0002-0572-7052
Observed ORCID: 0000-0002-0572-7052
OpenAlex ID: A5016364450
Mechanism for hydrogen evolution from water splitting based on a MoS 2 /WSe 2 heterojunction photocatalyst: a first-principle study
2020 · Yazhou Wang, Tong Liu, et al. · RSC Advances · 49
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Heterojunction of MXenes and MN4–graphene: Machine learning to accelerate the design of bifunctional oxygen electrocatalysts
2024 · Xue Bai, Sen Lu, et al. · Journal of Colloid and Interface Science · 38
A study on hydrogen storage performance of Ti decorated vacancies graphene structure on the first principle
2021 · Hong Cui, Ying Zhang, et al. · RSC Advances · 29
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Hydrogen evolution from MoSe2/WO3(0 0 1) heterojunction by photocatalytic water splitting: A density functional theory study
2021 · Tong Liu, Yazhou Wang, et al. · Applied Surface Science · 28
Machine learning accelerates design of bilayer-modified graphene hydrogen storage materials
2024 · Zepeng Jia, Sen Lu, et al. · Separation and Purification Technology · 25
Machine-learning-assisted hydrogen adsorption descriptor design for bilayer MXenes
2024 · Weizhi Tian, Gongchang Ren, et al. · Journal of Cleaner Production · 25
A study on the hydrogen storage performance of graphene–Pd(T)–graphene structure
2020 · Weizhi Tian, Ying Zhang, et al. · International Journal of Hydrogen Energy · 23
Novel NLi4-BGra/MgH2-based heterojunctions for efficient hydrogen storage and modulation of hydrogen-desorption temperature ranges
2024 · Qi Jiang, Zepeng Jia, et al. · Ceramics International · 20
Study on the hydrogen storage performance of graphene(N)–Sc–graphene(N) structure
2020 · Hong Cui, Weizhi Tian, et al. · International Journal of Hydrogen Energy · 20
Valence electron matching law for MXene-based single-atom catalysts
2024 · Pei Song, Yuhang Zhou, et al. · Journal of Energy Chemistry · 16
Symbolic transform optimized convolutional neural network model for high-performance prediction and analysis of MXenes hydrogen evolution reaction catalysts
2024 · Sen Lu, Pei Song, et al. · International Journal of Hydrogen Energy · 15
Modulation of Hydrogen Evolution Reaction Performance of MXenes by Doped Transition Metals: Comprehensive Exploration of High-Throughput Computing and Machine Learning
2025 · Sen Lu, Zhiguo Wang, et al. · ACS Applied Materials & Interfaces · 11
Machine learning descriptor-assisted exploration of metal-modified graphene hydrogen storage materials
2025 · Zepeng Jia, Xi Sun, et al. · International Journal of Hydrogen Energy · 11
Analysis of hydrogen storage mechanism in bilayer double-vacancy defective graphene modified using transition metals: Insights from Ti-BDVG(Ti)-Ti
2023 · Weizhi Tian, Gongchang Ren, et al. · International Journal of Hydrogen Energy · 10
Defective non-homogeneous bismuth-based photocatalysts with (Bi0S/Bi0I)-VBi-VO charge transfer channels for efficient water disinfection
2025 · Lihui Guo, Yuanting Wu, et al. · Journal of Colloid and Interface Science · 9
Experimental study on the effect of tube surface modifications and in-channel baffle plates on falling film evaporator heat transfer properties for sever cabinets
2024 · Ganglin Cao, Qiang Zhang, et al. · International Communications in Heat and Mass Transfer · 9
Enhanced learning loop framework accelerates screening of bimetallic catalysts with high oxygen reduction properties in different coordination environments
2024 · Pei Song, Zepeng Jia, et al. · International Journal of Hydrogen Energy · 9
Effect of hydrogen adsorption energy on the electronic and optical properties of Si-modified single-layer graphene with an Al decoration
2020 · Ying Zhang, Hong Cui, et al. · AIP Advances · 9
Single-atom dissolution at the MN4/MXene interface and electric field-driven adsorption mechanisms: Unraveling catalytic descriptors using machine learning
2025 · Pei Song, Zhikai Gao, et al. · Applied Surface Science · 8
Geometric feature-based machine learning-assisted exploration of ort-M2B2 structures for room-temperature hydrogen storage
2025 · Tiren Peng, Zhikai Gao, et al. · Journal of Material Science and Technology · 7
Machine learning-assisted exploration of the interfacial valence electron fitting rule for MBene-based single-atom catalysts
2025 · Zhikai Gao, Zhiguo Wang, et al. · Journal of Materials Chemistry A · 7
Enhanced Adsorption-Photocatalytic Activity of Bismuth-Based Materials via Interfacial Charge Driving Force and Highly Active Crystal Plane
2025 · Xiaofei Tong, Guojun Zhang, et al. · Langmuir · 6
Rational co-engineering of π-exciton and oxygen vacancy via a mild halide-exchange strategy: a sustainable blueprint for highly efficient S-scheme photocatalysts
2026 · Jingyue Hu, Yuanting Wu, et al. · Green Chemistry · 5
Integrated learning-assisted design of metal–nitrogen–carbon single-atom catalysts: electronegativity regulates the coupling rules of interfacial valence electrons
2026 · Hang Zhang, Zishan Luo, et al. · Chemical Science · 4
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Thermally Activated Delayed Mechano‐ and Radioluminescence Enabling Long‐Term and Time‐Delayed Spatiotemporal Stress and X‐ray Imaging
2025 · Pengfei Zhang, Yuanting Wu, et al. · Advanced Functional Materials · 4
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Works count: 42
Citation count: 409
H-index: 11
I10-index: 14
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