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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

portfolio

publications

Intrinsic carrier mobility of Dirac cones: the limitations of deformation potential theory

Published in The Journal of Chemical Physics, 2014

We pointed out the limitation of deformation potential theory in calculating the carrier mobility of Dirac materials, and provided a viable workflow for accurately evaluating carrier mobility dominated by acoustic phonon scattering.

Recommended citation: Z. Li, J. Wang, Z. Liu. Intrinsic carrier mobility of Dirac cones: the limitations of deformation potential theory. J. Chem. Phys., 141(14), 144107/1-9, 2014. https://doi.org/10.1063/1.4897533

Architecture of β-graphdiyne contained thin film using modified Glaser Hay coupling reaction for enhanced photocatalytic property of TiO2

Published in Advanced Materials, 2017

β-graphdiyne thin films for enhanced TiO2 photocatalysis.

Recommended citation: J. Li#, Z. Xie#, Y. Xiong, Z. Li, et al. Architecture of β-graphdiyne contained thin film using modified Glaser Hay coupling reaction for enhanced photocatalytic property of TiO2. Adv. Mater., 1700421, 2017. https://doi.org/10.1002/adma.201700421

Perspective of machine learning in material design

Published in Chinese Science Bulletin, 2019

Perspective on machine learning for materials design.

Recommended citation: Z. Sun, Z. Li, G. Chen, Q. Xu, Z. Hou, W.-J. Yin. Perspective of machine learning in material design. Chin. Sci. Bulletin, 2019.

Thermodynamic stability landscape of halide double perovskite via high-throughput computing and machine learning

Published in Advanced Functional Materials, 2019

We creatively combined machine learning algorithm with high-throughput computing for efficiently finding the stable double halide perovskites. This work got highlighted in ACS Energy Lett. in 2023.

Recommended citation: Z. Li, Q. Xu, Q. Sun, Z. Hou, W.-J. Yin. Thermodynamic stability landscape of halide double perovskite via high-throughput computing and machine learning. Adv. Funct. Mater., 1807280, 2019. https://doi.org/10.1002/adfm.201807280

Superhydrophilic graphdiyne accelerates interfacial mass/electron transportation to boost electrocatalytic and photoelectrocatalytic water oxidation activity

Published in Advanced Functional Materials, 2019

Graphdiyne for water oxidation catalysis.

Recommended citation: J. Li, X. Gao, Z. Li, et al. Superhydrophilic graphdiyne accelerates interfacial mass/electron transportation to boost electrocatalytic and photoelectrocatalytic water oxidation activity. Adv. Funct. Mater., 1808079, 2019. https://doi.org/10.1002/adfm.201808079

Coordination assembly of 2D ordered organic metal chalcogenides with widely tunable electronic band gaps

Published in Nature Communications, 2020

Study of 2D organic metal chalcogenides with tunable band gaps.

Recommended citation: Y. Li, X. Jiang, Z. Fu, Q. Huang, G.-E. Wang, W.-H. Deng, C. Wang, Z. Li, W.-J. Yin, B. Chen, G. Xu. Coordination assembly of 2D ordered organic metal chalcogenides with widely tunable electronic band gaps. Nat. Comm., 11, 261, 2020. https://doi.org/10.1038/s41467-019-14136-8

Bayesian optimization based on a unified figure of merit for accelerated materials screening: a case study of halide perovskites

Published in Science China Materials, 2020

Bayesian optimization for accelerated materials screening.

Recommended citation: X. Chen, C. Wang, Z. Li, Z. Hou, W.-J. Yin. Bayesian optimization based on a unified figure of merit for accelerated materials screening: a case study of halide perovskites. Sci. China Mater., 63, 1024-1035, 2020. https://doi.org/10.1007/s40843-019-1255-4

talks

AI4Matter

Published:

Invited talk at Nanyang Technological University on AI for materials science.

AI for Discovery and Research Automation

Published:

Invited speaker at the AI for Discovery and Research Automation conference organized by Nature Communications and Nature Machine Intelligence.

Machine Learning for Science 2025

Published:

Invited speaker at the Machine Learning for Science 2025 symposium, part of the World Young Scientist Summit.

teaching