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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
Published in The Journal of Physical Chemistry C, 2016
Raman spectra and strain effects in graphyne and graphdiyne.
Recommended citation: S. Zhang, J. Wang, Z. Li, R. Zhao, L. Tong, Z. Liu, J. Zhang, Z. Liu. Raman spectra and corresponding strain effects in graphyne and graphdiyne. J. Phys. Chem. C, 120(19), 10606-10613, 2016. https://doi.org/10.1021/acs.jpcc.6b02927
Published in Advanced Materials, 2017
CVD growth of linked carbon monolayers on silver foil.
Recommended citation: R. Liu, X. Gao, J. Zhou, H. Xu, Z. Li, et al. Chemical vapor deposition growth of linked carbon monolayers with acetylenic scaffoldings on silver foil. Adv. Mater., 1604665, 2017. https://doi.org/10.1002/adma.201604665
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
Published in Nano Research, 2017
In Dirac materials, we pointed out the movement behaviour of Dirac points under rotating strain.
Recommended citation: Z. Li, Z. Liu, Z. Liu. Movement of Dirac points and band gaps in graphyne under rotating strain. Nano Res., 10(6), 2005-2020, 2017. https://doi.org/10.1007/s12274-016-1388-z
Published in Physical Chemistry Chemical Physics, 2017
Theory of anisotropic carrier mobility in 2D materials with tilted Dirac cones.
Recommended citation: T. Cheng#, H. Lang#, Z. Li, Z. Liu, Z. Liu. Anisotropic carrier mobility in two-dimensional materials with tilted Dirac cones: theory and application. Phys. Chem. Chem. Phys., 19, 23942-23950, 2017. https://doi.org/10.1039/C7CP03736H
Published in Nano Letters, 2017
I performed tensor analysis for the SHG signal evolution in strained MoSe2, which predicted the experimentally observed behaviour.
Recommended citation: J. Liang#, J. Zhang#, Z. Li#, et al. Monitoring local strain vector in atomic-layered MoSe2 by second-harmonic generation. Nano Lett., 17(12), 7539-7543, 2017. https://doi.org/10.1021/acs.nanolett.7b03476
Published in Energy Storage Materials, 2018
Defect-engineered graphene for Li-ion storage.
Recommended citation: K. Chen, F. Zhang, J. Sun, Z. Li, et al. Growth of defect-engineered graphene on manganese oxides for Li-ion storage. Energy Storage Mater., 12, 110-118, 2018. https://doi.org/10.1016/j.ensm.2018.01.019
Published in Journal of Semiconductors, 2018
We summarized the research status of lead-free inorganic double halide perovskites.
Recommended citation: Z. Li, W.-J. Yin. Recent progress in Pb-free stable inorganic double halide perovskites. J. Semicond., 39(7), 2018. https://doi.org/10.1088/1674-4926/39/7/071001
Published in Nano Research, 2018
Nanostructured materials for sodium-ion batteries.
Recommended citation: C. Lu#, Z. Li#, L. Yu, et al. Nanostructured Bi2S3 encapsulated within three-dimensional N-doped graphene as active and flexible anodes for sodium-ion batteries. Nano Res., 11(9), 4614-4626, 2018. https://doi.org/10.1007/s12274-018-2059-6
Published in Advanced Materials, 2018
Heteroepitaxy of PbI2/Graphene for photodetectors.
Recommended citation: J. Zhang, Y. Huang, Z. Tan, et al. Low-temperature heteroepitaxy of 2D PbI2/Graphene for large-area flexible photodetectors. Adv. Mater., 1803194, 2018. https://doi.org/10.1002/adma.201803194
Published in The Journal of Physical Chemistry Letters, 2018
We pointed out the importance of “data cleaning” before applying machine learning.
Recommended citation: Q. Xu, Z. Li, M. Liu, W.-J. Yin. Rationalizing perovskites data for machine learning and materials design. J. Phys. Chem. Lett., 9, 6948-6954, 2018. https://doi.org/10.1021/acs.jpclett.8b02913
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.
Published in Energy & Environmental Science, 2019
Review of oxide perovskites for energy applications.
Recommended citation: W.-J. Yin#, B. Weng#, J. Ge#, Q. Sun, Z. Li, Y. Yan. Oxide perovskites, double perovskites and derivatives for electrocatalysis, photocatalysis, and photovoltaics. Energy Environ. Sci., 12, 442-462, 2019. https://doi.org/10.1039/C8EE01574K
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
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
Published in Journal of the American Chemical Society, 2019
Development of copper-containing feedstock for high-quality graphene growth.
Recommended citation: K. Jia#, J. Zhang#, L. Lin#, Z. Li, et al. Copper-containing carbon feedstock for growing super-clean graphene. J. Am. Chem. Soc., 141, 7670-7674, 2019. https://doi.org/10.1021/jacs.9b02068
Published in Angewandte Chemie International Edition, 2019
Large-area synthesis of superclean graphene using CO2 etching.
Recommended citation: J. Zhang#, K. Jia#, L. Lin#, et al. Large-area synthesis of superclean graphene via selective etching of amorphous carbon with carbon dioxide. Angew. Chem. Int. Ed., 58, 1-6, 2019. https://doi.org/10.1002/anie.201905672
Published in ACS Nano, 2019
Surface-enhanced Raman spectroscopy using 2D materials.
Recommended citation: X. Song, Y. Wang, F. Zhao, et al. Plasmon-free surface-enhanced raman spectroscopy using metallic 2D materials. ACS Nano, 13(7), 8312-8319, 2019. https://doi.org/10.1021/acsnano.9b03761
Published in Energy Storage Materials, 2019
Development of graphene nanowall composites for lithium metal batteries.
Recommended citation: Z. Hu#, Z. Li#, Z. Xia, et al. PECVD-derived graphene nanowall/lithium composite anodes towards highly stable lithium metal batteries. Energy Storage Mater., 22, 29-29, 2019. https://doi.org/10.1016/j.ensm.2019.04.025
Published in Nano Research, 2019
MOF-derived SnSe nanoplatelets for sodium ion batteries.
Recommended citation: C. Lu#, Z. Li#, Z. Xia, et al. Confining MOF-derived SnSe Nanoplatelets in nitrogen-doped graphene cages via direct CVD for durable sodium ion storage. Nano Res., 12, 3051-3058, 2019. https://doi.org/10.1007/s12274-019-2550-4
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
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
Published in ACS Energy Letters, 2020
We modelled the carrier transport barriers in perovskite stacking faults.
Recommended citation: J.-S. Park, Z. Li, J. N. Wilson, W.-J. Yin, A. Walsh. Hexagonal stacking faults act as hole-blocking layers in lead halide perovskites. ACS Energy Lett., 5, 2231-2233, 2020. https://doi.org/10.1021/acsenergylett.0c00740
Published in National Science Review, 2020
P-type doping strategy for cathode design.
Recommended citation: Z. Wang, D. Wang, Z. Zou, T. Song, D. Ni, Z. Li, et al. Efficient potential-tuning strategy through p-type doping for designing cathodes with ultrahigh energy density. Natl Sci. Rev., 7, 11, 1768-1775, 2020. https://doi.org/10.1093/nsr/nwaa065
Published in Chemical Science, 2021
We creatively combined evolutionary algorithm with Ising-type Hamiltonian for efficiently finding the stable and meta-stable polytypes.
Recommended citation: Z. Li, J.-S. Park, A. Walsh. Evolutionary exploration of polytypism in lead halide perovskites. Chem. Sci., 12, 12165-12173, 2021. https://doi.org/10.1039/D1SC02238E
Published in Advanced Materials, 2021
Design of secondary bonding channels for organic electrodes.
Recommended citation: Z. Hu, X. Zhao, Z. Li, et al. Secondary bonding channel design induces intercalation pseudocapacitance toward ultrahigh-capacity and high-rate organic electrodes. Adv. Mater., 2104039, 2021. https://doi.org/10.1002/adma.202104039
Published in Physical Chemistry Chemical Physics, 2022
Study of anisotropic properties in antimony chalcogenides.
Recommended citation: X. Wang, Z. Li, S. R. Kavanagh, A. M. Ganose, A. Walsh. Lone pair driven anisotropy in antimony chalcogenide semiconductors. Phys. Chem. Chem. Phys., 24, 7195-7202, 2022. https://doi.org/10.1039/D1CP05373F
Published in ACS Energy Letters, 2023
We reported the inhomogeneous defect distribution in perovskite due to the formation of polytypes.
Recommended citation: Y. Woo, Z. Li, Y.-K. Jung, J.-S. Park, A. Walsh. Inhomogeneous Defect Distributions in Mixed-Polytype Metal Halide Perovskites. ACS Energy Lett., 8, 356-360, 2023. https://doi.org/10.1021/acsenergylett.2c02306
Published in The Journal of Physical Chemistry C, 2023
We reported the impact from materials polytypism on Fermi surface and electronic band gap.
Recommended citation: Z. Li, J.-S. Park, A. M. Ganose, A. Walsh. From cubic to hexagonal: electronic trends across metal halide perovskite polytypes. J. Phys. Chem. C, 127, 12695-12701, 2023. https://doi.org/10.1021/acs.jpcc.3c02212
Published in The Journal of Physical Chemistry C, 2023
A toolkit for analyzing structural dynamics in metal halide perovskites.
Recommended citation: L. Xia, W. Baldwin, J. Klarbring, Z. Li, G. Csányi, A. Walsh. Structural dynamics toolkit for metal halide perovskites. J. Phys. Chem. C, 127, 19141-19151, 2023. https://doi.org/10.1021/acs.jpcc.3c03377
Published in ACS Applied Energy Materials, 2024
I modelled the morphology of self-assembled monolayers for OPV.
Recommended citation: M. Li#, Z. Li#, H. Fu, et al. Molecularly engineered self-assembled monolayers as effective hole-selective layers for organic solar cells. ACS Appl. Energy Mater., 7, 1306-1312, 2024. https://doi.org/10.1021/acsaem.3c02781
Published in Langmuir, 2024
We demonstrated a SAM that works effectively for both perovskite and organic solar cells.
Recommended citation: M. Li#, Z. Li#, M. Liu, et al. A hole-selective self-assembled monolayer for both efficient perovskite and organic Solar Cells. Langmuir, 40, 4772-4778, 2024. https://doi.org/10.1021/acs.langmuir.3c03610
Published in ACS Nano, 2024
Computational study of 2D chromium selenides magnetic properties.
Recommended citation: F. Cui, K. He, S. Wu, H. Zhang, Y. Lu, Z. Li, et al. Stoichiometry-tunable synthesis and magnetic property exploration of two-dimensional chromium selenides. ACS Nano, 18, 6276-6285, 2024. https://doi.org/10.1021/acsnano.3c12095
Published in Matter, 2024
We summarized the current state-of-the-art generative models in materials science.
Recommended citation: H. Park, Z. Li, A. Walsh. Has generative artificial intelligence solved inverse materials design? Matter, 7, 2355-2367, 2024. https://doi.org/10.1016/j.matt.2024.05.017
Published in Advanced Materials, 2025
We modelled the role of biuret molecule in suppressing the oxidation of Sn2+ from Bader charge and ELF calculations.
Recommended citation: Y. Li, Z. Li, Y. Han, et al. Dual oxidation suppression in lead-free perovskites for low-threshold and long-lifespan lasing. Adv. Mater., 2418931, 2025. https://doi.org/10.1002/adma.202418931
Published in The Journal of Physical Chemistry C, 2025
A materials modelling methodology/workflow for sulfides growth was developed in this work.
Recommended citation: Z. Li, A. Walsh. Thermodynamics of Sulfur Vacancy Formation in the Chalcogenide Perovskite BaZrS3. J. Phys. Chem. C, 2025. https://pubs.acs.org/doi/full/10.1021/acs.jpcc.5c00828
Published in arXiv preprint, 2025
We demonstrate that independently developed machine learning interatomic potentials exhibit consistent geometric organization of atomic environments.
Recommended citation: Z. Li, A. Walsh. Platonic representation of foundation machine learning interatomic potentials. arXiv:2512.05349, 2025. https://arxiv.org/abs/2512.05349
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Oral presentation on evolutionary exploration of halide perovskite polytypes.
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Invited speaker on atomic-scale insights into metal halide perovskites.
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Invited speaker on data-driven materials design, with Taylor Sparks.
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Invited speaker on achieving chemical accuracy for materials thermodynamics.
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Oral presentation on defect control and ab initio thermodynamics for chalcogenide perovskite synthesis.
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Oral presentation on machine learning force fields for metastable transition metal dichalcogenides.
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Invited talk at Nanyang Technological University on AI for materials science.
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Invited speaker at the AI for Discovery and Research Automation conference organized by Nature Communications and Nature Machine Intelligence.
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Invited speaker at the Machine Learning for Science 2025 symposium, part of the World Young Scientist Summit.
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Invited talk at the 1st InnoCORE Symposium on AI for Energy Systems.