Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

Cited by (1,039)

Items 601–700 of 1,039

1. Machine Learning in Materials Discovery: Confirmed Predictions and Their Underlying Approaches
   James E. Saal, Anton O. Oliynyk, Bryce Meredig · 2020 · Annual Review of Materials Research
2. Thermophysical and mechanical properties of novel high‐entropy metal nitride‐carbides
   Tongqi Wen, Beilin Ye, Manh Cuong Nguyen · 2020 · Journal of the American Ceramic Society
3. MechElastic: A Python library for analysis of mechanical and elastic properties of bulk and 2D materials
   Sobhit Singh, Logan Lang, Viviana Dovale-Farelo, Uthpala Herath, Pedram Tavadze, François‐Xavier Coudert, Aldo Humberto Romero · 2021 · Computer Physics Communications
4. Oxide‐Based Solid‐State Batteries: A Perspective on Composite Cathode Architecture
   Yaoyu Ren, Timo Danner, Alexandra C. Moy, Martin Finsterbusch, Tanner R. Hamann, Jan Dippell, Till Fuchs, Marius Müller, Ricky Hoft, André Weber et al. · 2022 · Advanced Energy Materials
5. Cation-induced changes in the inner- and outer-sphere mechanisms of electrocatalytic CO2 reduction
   Xueping Qin, Heine Anton Hansen, Karoliina Honkala, Marko Melander · 2023 · Nature Communications
6. Elucidating the alkaline oxygen evolution reaction mechanism on platinum
   Marco Favaro, Carlos Valero‐Vidal, Johanna Eichhorn, Francesca Maria Toma, P. N. JUN. ROSS, Junko Yano, Zhi Liu, Ethan J. Crumlin · 2017 · Journal of Materials Chemistry A
7. Stoichiometric Layered Potassium Transition Metal Oxide for Rechargeable Potassium Batteries
   Haegyeom Kim, Dong‐Hwa Seo, Alexander Urban · 2018 · Chemistry of Materials
8. Multi-Step Topochemical Pathway to Metastable Mo 2 AlB 2 and Related Two-Dimensional Nanosheet Heterostructures
   Lucas T. Alameda, Robert W. Lord, Jordan Alysia Barr · 2019 · Journal of the American Chemical Society
9. When Machine Learning Meets 2D Materials: A Review
   Bin Lu, Yuze Xia, Yuqian Ren, Xie Miaomiao, Liguo Zhou, Giovanni Vinai, Simon A. Morton, Andrew T. S. Wee, Wilfred G. van der Wiel, Wen Zhang et al. · 2024 · Advanced Science
10. Semi-supervised machine-learning classification of materials synthesis procedures
    Huo, Haoyan, Rong, Ziqin, Kononova, Olga, Sun, Wenhao, Botari, Tiago, He, Tanjin, Tshitoyan, Vahe, Ceder, Gerbrand · 2019 · npj Computational Materials
11. Topological Semimetals in Square-Net Materials
    Sebastian Klemenz, Shiming Lei, Leslie Mareike Schoop · 2019 · Annual Review of Materials Research
12. Revisiting the Nature of Chemical Bonding in Chalcogenides to Explain and Design their Properties
    Matthias Wuttig, Carl‐Friedrich Schön, Jakob Johannes Lötfering · 2022 · Advanced Materials
13. Overview on Theoretical Simulations of Lithium‐Ion Batteries and Their Application to Battery Separators
    D. Miranda, Renato Gonçalves, Stefan Wuttke, Carlos M. Costa, Senentxu Lanceros-Méndez · 2023 · Advanced Energy Materials
14. Thermal Stability and Reactivity of Cathode Materials for Li-Ion Batteries
    Yiqing Huang, Yuh‐Chieh Lin, David M. Jenkins et al. · 2016 · ACS Applied Materials & Interfaces
15. Toward autonomous design and synthesis of novel inorganic materials
    Nathan J. Szymanski, Yan Zeng, Haoyan Huo, Christopher J. Bartel, Haegyeom Kim, Gerbrand Ceder · 2021 · Materials Horizons
16. Machine Learning Descriptors for Data‐Driven Catalysis Study
    Li-Hui Mou, T.-T. Han, Pieter E. S. Smith, Edward H. Sharman, Jun Jiang · 2023 · Advanced Science
17. A comprehensive review of silicon anodes for high-energy lithium-ion batteries: Challenges, latest developments, and perspectives
    Ebrahim Feyzi, Anil Kumar M R, Xia Li, Sixu Deng, Jagjit Nanda, Karim Zaghib · 2024 · Next Energy
18. A framework to evaluate machine learning crystal stability predictions
    Janosh Riebesell, Rhys E. A. Goodall, Philipp Benner, Yuan Chiang, Bowen Deng, Gerbrand Ceder, Mark Asta, Alpha A. Lee, Anubhav Jain, Kristin Aslaug Persson · 2025 · Nature Machine Intelligence
19. Design Principles of Sodium/Potassium Protection Layer for High‐Power High‐Energy Sodium/Potassium‐Metal Batteries in Carbonate Electrolytes: a Case Study of Na2Te/K2Te
    Hai Yang, Fuxiang He, Menghao Li et al. · 2021 · Advanced Materials
20. Unraveling Thermodynamics, Stability, and Oxygen Evolution Activity of Strontium Ruthenium Perovskite Oxide
    Bae‐Jung Kim, Daniel F. Abbott, Xi Cheng, Emiliana Fabbri, Maarten Nachtegaal, Francesco Bozza, Ivano E. Castelli, Dmitry Lebedev, Robin E. Schäublin, Christophe Copéret et al. · 2017 · ACS Catalysis
21. Rational Design of Deep-Ultraviolet Nonlinear Optical Materials in Fluorooxoborates: Toward Optimal Planar Configuration
    Fei Liang, Lei Kang, Pifu Gong · 2017 · Chemistry of Materials
22. Integrated computational materials engineering of corrosion resistant alloys
    Christopher David Taylor, Pin Lu, James E. Saal, G. S. Frankel, John R. Scully · 2018 · npj Materials Degradation
23. ALKEMIE: An intelligent computational platform for accelerating materials discovery and design
    Guanjie Wang, Liyu Peng, Kaiqi Li, Linggang Zhu, Jian Zhou, Naihua Miao, Zhimei Sun · 2020 · Computational Materials Science
24. Revolutionizing the structural design and determination of covalent–organic frameworks: principles, methods, and techniques
    Yikuan Liu, Xiaona Liu, An Su et al. · 2023 · Chemical Society Reviews
25. Artificial Intelligence Driving Materials Discovery? Perspective on the Article: Scaling Deep Learning for Materials Discovery
    Anthony Kevin Cheetham, Ram Seshadri · 2024 · Chemistry of Materials
26. Feasible Route to High-Temperature Ambient-Pressure Hydride Superconductivity
    Kapildeb Dolui, Lewis J. Conway, Christoph Heil · 2024 · Physical Review Letters
27. Charge Storage in Cation Incorporated α-MnO 2
    Matthias J. Young, Aaron M. Holder, Steven M. George, Charles B. Musgrave · 2014 · Chemistry of Materials
28. Constructing first-principles phase diagrams of amorphous LixSi using machine-learning-assisted sampling with an evolutionary algorithm
    Nongnuch Artrith, Alexander Urban, Gerbrand Ceder · 2018 · The Journal of Chemical Physics
29. Orbital graph convolutional neural network for material property prediction
    Mohammadreza Karamad, Rishikesh Magar, Yuting Shi, Samira Siahrostami, Ian Donald Gates, Amir Barati Farimani · 2020 · Physical Review Materials
30. ChemDataExtractor 2.0: Autopopulated Ontologies for Materials Science
    Juraj Mavračić, Callum J. Court, Taketomo Isazawa, Stephen R. Elliott, Jacqueline M. Cole · 2021 · Journal of Chemical Information and Modeling
31. Refined Electrolyte and Interfacial Chemistry toward Realization of High-Energy Anode-Free Rechargeable Sodium Batteries
    Yuying Zhang, Chaohui Zhang, Yu‐Jie Guo, Min Fan, Yao Zhao, Hua Guo, Wenpeng Wang, Shuang‐Jie Tan, Ya‐Xia Yin, Fuyi Wang et al. · 2023 · Journal of the American Chemical Society
32. DPA-2: a large atomic model as a multi-task learner
    Zhang, Duo, Liu, Xinzijian, Zhang, Xiangyu, Zhang, Chengqian, Cai, Chun, Bi, Hangrui, Du, Yiming, Qin, Xuejian, Peng, Anyang, Huang, Jiameng et al. · 2023 · arXiv
33. Intrinsic Material Properties Dictating Oxygen Vacancy Formation Energetics in Metal Oxides
    Ann M. Deml, Aaron M. Holder, Ryan O’Hayre · 2015 · The Journal of Physical Chemistry Letters
34. Nucleation, Growth, and Alignment of Poly(3-hexylthiophene) Nanofibers for High-Performance OFETs
    Nils E. Persson, Ping‐Hsun Chu, Michael McBride · 2017 · Accounts of Chemical Research
35. Computational Discovery and Design of MXenes for Energy Applications: Status, Successes, and Opportunities
    Cheng Zhan, Weiwei Sun, Yu Xie, De‐en Jiang, Paul R. C. Kent · 2019 · ACS Applied Materials & Interfaces
36. High-throughput prediction of the ground-state collinear magnetic order of inorganic materials using Density Functional Theory
    Matthew K. Horton, Joseph H. Montoya, Miao Liu, Kristin Aslaug Persson · 2019 · npj Computational Materials
37. Accelerated Discovery of Efficient Solar Cell Materials Using Quantum and Machine-Learning Methods
    Kamal Kumar Choudhary, Marnik Bercx, Jie Jiang, Ruth Pachter, D. Lamoen, Francesca Tavazza · 2019 · Chemistry of Materials
38. A more stable lithium anode by mechanical constriction for solid state batteries
    Yibo Su, Luhan Ye, William Fitzhugh · 2020 · Energy & Environmental Science
39. Catalyst design and tuning for oxidative dehydrogenation of propane – A review
    Yahya Gambo, Sagir Adamu, A.A. Abdulrasheed, Rahima A. Lucky, Mohammed S. Ba‐Shammakh, Mohammad Mozahar Hossain · 2020 · Applied Catalysis A General
40. Crystal graph attention networks for the prediction of stable materials
    Jonathan Schmidt, Love Pettersson, Claudio Verdozzi, Silvana Botti, Miguel A. L. Marques · 2021 · Science Advances
41. Acid anion electrolyte effects on platinum for oxygen and hydrogen electrocatalysis
    Gaurav Ashish Kamat, Jose Andres Zamora Zeledon, G. T. Kasun Kalhara Gunasooriya, Samuel M. Dull, Joseph T. Perryman, Jens K. Nørskov, Michaela Burke Stevens, Thomas Francisco Jaramillo · 2022 · Communications Chemistry
42. DPA-2: a large atomic model as a multi-task learner
    Duo Zhang, Xinzijian Liu, Xiangyu Zhang, Chengqian Zhang, Chun Cai, Hangrui Bi, Yiming Du, Xuejian Qin, Anyang Peng, Jiameng Huang et al. · 2024 · npj Computational Materials
43. Computational prediction of new auxetic materials
    John M. Dagdelen, Joseph H. Montoya, Maarten de Jong · 2017 · Nature Communications
44. Message-passing neural networks for high-throughput polymer screening
    Peter C. St. John, Caleb T. Phillips, Travis W. Kemper, A. Nolan Wilson, Yanfei Guan, Michael F. Crowley, Mark R. Nimlos, Ross E. Larsen · 2019 · The Journal of Chemical Physics
45. Cesium Copper Iodide Tailored Nanoplates and Nanorods for Blue, Yellow, and White Emission
    Parth Vashishtha, Gautam Virender Nutan, Benjamin E. Griffith et al. · 2019 · Chemistry of Materials
46. Binding and Diffusion of Lithium in Graphite: Quantum Monte Carlo Benchmarks and Validation of van der Waals Density Functional Methods
    Panchapakesan Ganesh, Jeongnim Kim, Changwon Park, Mina Yoon, Fernando Agustín Reboredo, Paul R. C. Kent · 2014 · Journal of Chemical Theory and Computation
47. Research Update: The materials genome initiative: Data sharing and the impact of collaborative ab initio databases
    Anubhav Jain, Kristin Aslaug Persson, Gerbrand Ceder · 2016 · APL Materials
48. High-Throughput Design of Non-oxide p-Type Transparent Conducting Materials: Data Mining, Search Strategy, and Identification of Boron Phosphide
    Joel Basile Varley, Anna Miglio, Viet-Anh Ha · 2017 · Chemistry of Materials
49. Significance of hydrogen bonding and other noncovalent interactions in determining octahedral tilting in the CH3NH3PbI3 hybrid organic-inorganic halide perovskite solar cell semiconductor
    Pradeep R. Varadwaj, Arpita Varadwaj, Helder M. Marques, Koichi Yamashita · 2019 · Scientific Reports
50. Superionic Diffusion through Frustrated Energy Landscape
    Davide Di Stefano, Anna Miglio, Koen Robeyns et al. · 2019 · Chem
51. Constrained crystals deep convolutional generative adversarial network for the inverse design of crystal structures
    Teng Long, Nuno M. Fortunato, Ingo Opahle, Yixuan Zhang, Ilias Samathrakis, Chen Shen, Oliver Gutfleisch, Hongbin Zhang · 2021 · npj Computational Materials
52. Towards First Principles-Based Prediction of Highly Accurate Electrochemical Pourbaix Diagrams
    Zhenhua Zeng, Maria K. Y. Chan, Zhi‐Jian Zhao, Joseph Kubal, Dingxin Fan, Jeffrey Greeley · 2015 · The Journal of Physical Chemistry C
53. Quantifying the Capacity Contributions during Activation of Li 2 MnO 3
    Jatinkumar Rana, Joseph K. Papp, Zachary W. Lebens-Higgins et al. · 2020 · ACS Energy Letters
54. Understanding the conversion mechanism and performance of monodisperse FeF2 nanocrystal cathodes
    Albert Wang Xiao, Hyeon Jeong Lee, Isaac Capone · 2020 · Nature Materials
55. Machine learning in solid heterogeneous catalysis: Recent developments, challenges and perspectives
    Yani Guan, Donovan Chaffart, Guihua Liu, Zhaoyang Tan, Dongsheng Zhang, Yanji Wang, Jingde Li, Luis Ricardez‐Sandoval · 2021 · Chemical Engineering Science
56. Emerging Trends in Sustainable CO 2 ‐Management Materials
    Zhen Zhang, Yun Hong Zheng, Lanting Qian, Dan Luo, Haozhen Dou, Guobin Wen, Aiping Yu, Zhongwei Chen · 2022 · Advanced Materials
57. Design principles for NASICON super-ionic conductors
    Jingyang Wang, Tanjin He, Xiaochen Yang, Zijian Cai, Yan Eric Wang, Valentina Lacivita, Haegyeom Kim, Bin Ouyang, Gerbrand Ceder · 2023 · Nature Communications
58. A Machine Learning Approach for the Prediction of Formability and Thermodynamic Stability of Single and Double Perovskite Oxides
    Talapatra, Anjana, Uberuaga, Blas P., Stanek, Christopher R., Pilania, Ghanshyam · 2021 · Chemistry of Materials
59. New Light‐Harvesting Materials Using Accurate and Efficient Bandgap Calculations
    Ivano E. Castelli, Falco Hüser, Mohnish Pandey, Hong Li, Kristian Sommer Thygesen, Brian Joseph Seger, Anubhav Jain, Kristin Aslaug Persson, Gerbrand Ceder, Karsten W. Jacobsen · 2014 · Advanced Energy Materials
60. Simple data and workflow management with the signac framework
    Carl S. Adorf, Paul M. Dodd, Vyas Ramasubramani · 2018 · Computational Materials Science
61. QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion quantum Monte Carlo
    P. R. C. Kent, Abdulgani Annaberdiyev, Anouar Benali, M. Chandler Bennett, Edgar Josué Landinez Borda, Peter Doak, Hongxia Hao, Kenneth D. Jordan, Jaron T. Krogel, Ilkka Kylänpää et al. · 2020 · The Journal of Chemical Physics
62. Why Do We Use the Materials and Operating Conditions We Use for Heterogeneous (Photo)Electrochemical Water Splitting?
    Ananth Govind Rajan, John Mark P. Martirez, Emily A. Carter · 2020 · ACS Catalysis
63. Strain-tuning of the electronic, optical, and vibrational properties of two-dimensional crystals
    Elena Blundo, E. Cappelluti, Marco Felici, Giorgio Pettinari, A. Polimeni · 2021 · Applied Physics Reviews
64. Accurate and Compatible Force Fields for Molecular Oxygen, Nitrogen, and Hydrogen to Simulate Gases, Electrolytes, and Heterogeneous Interfaces
    Shiyi Wang, Kaiyi Hou, Hendrik Heinz · 2021 · Journal of Chemical Theory and Computation
65. Silver Peroxide Nanoparticles for Combined Antibacterial Sonodynamic and Photothermal Therapy
    Xuelong Bi, Qiang Bai, Manman Liang · 2021 · Small
66. Determinants of lithium-ion battery technology cost decline
    Micah S. Ziegler, Juhyun Song, Jessika E. Trancik · 2021 · Energy & Environmental Science
67. Machine learning interatomic potential: Bridge the gap between small-scale models and realistic device-scale simulations
    Guanjie Wang, Changrui Wang, Xuanguang Zhang, Zefeng Li, Jian Zhou, Zhimei Sun · 2024 · iScience
68. Solid‐State Electrolytes for Lithium Metal Batteries: State‐of‐the‐Art and Perspectives
    Jun Huang, C. Y. Li, Dongkai Jiang et al. · 2024 · Advanced Functional Materials
69. Systematic softening in universal machine learning interatomic potentials
    Bowen Deng, Yunyeong Choi, Peichen Zhong · 2025 · npj Computational Materials
70. The Intercalation Phase Diagram of Mg in V2O5 from First-Principles
    Gopalakrishnan Sai Gautam, Pieremanuele Canepa, Aziz Abdellahi · 2015 · Chemistry of Materials
71. Computational materials design of crystalline solids
    Keith T. Butler, Jarvist Moore Frost, Jonathan Michael Skelton, Katrine Louise Svane, Aron Walsh · 2016 · Chemical Society Reviews
72. Cost-driven materials selection criteria for redox flow battery electrolytes
    Rylan Doyle Dmello, Jarrod David Milshtein, Fikile Richard Brushett, Kyle Christopher Smith · 2016 · Journal of Power Sources
73. Rechargeable Battery Electrolytes Capable of Operating over Wide Temperature Windows and Delivering High Safety
    Xidong Lin, Guo-Dong Zhou, Jia-Peng Liu, J. Yu, Mohammed B. Effat, Jun-Xiong Wu, F. Ciucci · 2020 · Advanced Energy Materials
74. Accelerated search for BaTiO 3 -based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning
    Dezhen Xue, Prasanna V. Balachandran, Ruihao Yuan, Tao Hu, Xiaoning Qian, Edward R. Dougherty, Turab Lookman · 2016 · Proceedings of the National Academy of Sciences
75. Stability criteria for nanocrystalline alloys
    Arvind R. Kalidindi, Christopher Allan Schuh · 2017 · Acta Materialia
76. A critical examination of robustness and generalizability of machine learning prediction of materials properties
    Kangming Li, Brian DeCost, Kamal Kumar Choudhary, Michael Greenwood, Jason R. Hattrick-Simpers · 2023 · npj Computational Materials
77. Prediction of Stable Nitride Perovskites
    Rafael Sarmiento-Pérez, Tiago F. T. Cerqueira, Sabine Körbel · 2015 · Chemistry of Materials
78. Rutile Alloys in the Mn–Sb–O System Stabilize Mn3+ To Enable Oxygen Evolution in Strong Acid
    Lan Zhou, Aniketa Shinde, Joseph H. Montoya, Arunima K. Singh, Sheraz Gul, Junko Yano, Yifan Ye, Ethan J. Crumlin, Matthias Hermann Richter, Jason K. Cooper et al. · 2018 · ACS Catalysis
79. Quantum-Dot-Derived Catalysts for CO2 Reduction Reaction
    Min Liu, Mengxia Liu, Xiaoming Wang, Sergey M. Kozlov, Zhen Cao, Phil De Luna, Kang Liu, Xiaoqing Qiu, K Liu, Junhua Hu et al. · 2019 · Joule
80. The Thermoelectric Properties of n-Type Bismuth Telluride: Bismuth Selenide Alloys Bi2Te3−xSex
    Ian T. Witting, Francesco Ricci, Thomas C. Chasapis, Geoffroy Hautier, Gerald Jeffrey Snyder · 2020 · Research
81. Artificial intelligence-enabled smart mechanical metamaterials: advent and future trends
    Pengcheng Jiao, Amir H. Alavi · 2020 · International Materials Reviews
82. End-to-end deep learning method to predict complete strain and stress tensors for complex hierarchical composite microstructures
    Zhenze Yang, Chi‐Hua Yu, Kai Guo, Markus J. Buehler · 2021 · Journal of the Mechanics and Physics of Solids
83. Density functional theory predictions of the mechanical properties of crystalline materials
    Evan Kiely, Reabetswe Zwane, Robert B. Fox, Anthony M. Reilly, Sarah Guerin · 2021 · CrystEngComm
84. Dilute Alloying to Implant Activation Centers in Nitride Electrocatalysts for Lithium–Sulfur Batteries
    Quanbing Liu, Yujie Wu, Dong Wei Li · 2022 · Advanced Materials
85. Machine Learning-Assisted Design of Advanced Polymeric Materials
    Liang Gao, Jiaping Lin, Liquan Wang, Lei Du · 2024 · Accounts of Materials Research
86. Solar to fuels conversion technologies: a perspective
    Harry Louis Tuller · 2017 · Materials for Renewable and Sustainable Energy
87. High-Mobility Bismuth-based Transparent p -Type Oxide from High-Throughput Material Screening
    Amit Bhatia, Geoffroy Hautier, Tan Nilgianskul et al. · 2015 · Chemistry of Materials
88. Advanced cathode materials for lithium-ion batteries using nanoarchitectonics
    Renjie Chen, Taolin Zhao, Xiaoxiao Zhang · 2016 · Nanoscale Horizons
89. Hydrogen Bonding and Stability of Hybrid Organic–Inorganic Perovskites
    Fedwa El‐Mellouhi, Asma Marzouk, El Tayeb Bentria, Sergey N. Rashkeev, Sabre Kais, Fahhad H. Alharbi · 2016 · ChemSusChem
90. Discovery of Intermetallic Compounds from Traditional to Machine-Learning Approaches
    Anton O. Oliynyk, Arthur Mar · 2017 · Accounts of Chemical Research
91. Revealing the Local pH Value Changes of Acidic Aqueous Zinc Ion Batteries with a Manganese Dioxide Electrode during Cycling
    Christian Bischoff, Oliver Fitz, Jordan Burns · 2020 · Journal of The Electrochemical Society
92. Active Learning Accelerated Discovery of Stable Iridium Oxide Polymorphs for the Oxygen Evolution Reaction
    Raul A. Flores, Christopher Paolucci, Kirsten T. Winther, Ankit Jain, José Antonio Garrido Torres, Muratahan Aykol, Joseph H. Montoya, Jens K. Nørskov, Michal Bajdich, Thomas Bligaard · 2020 · Chemistry of Materials
93. Challenges and Opportunities of Transition Metal Oxides as Electrocatalysts
    Wei Xiong, Huhu Yin, Tianxing Wu, Hao Li · 2022 · Chemistry - A European Journal
94. Interpretable design of Ir-free trimetallic electrocatalysts for ammonia oxidation with graph neural networks
    Hemanth Somarajan Pillai, Yi Zhen Li, Shih‐Han Wang · 2023 · Nature Communications
95. An aqueous electrolyte densified by perovskite SrTiO3 enabling high-voltage zinc-ion batteries
    Rongyu Deng, Yi Cheng, Fulu Chu · 2023 · Nature Communications
96. Accelerating Computational Materials Discovery with Machine Learning and Cloud High-Performance Computing: from Large-Scale Screening to Experimental Validation
    Chi Chen, Dan Thien Nguyen, Shannon Lee, Nathan Baker, Ajay Singh Karakoti, Linda Lauw, Craig Owen, Karl Todd Mueller, Brian A. Bilodeau, Vijayakumar Murugesan et al. · 2024 · Journal of the American Chemical Society
97. Dissolving and stabilizing soft WB2 and MoB2 phases into high-entropy borides via boron-metals reactive sintering to attain higher hardness
    Mingde Qin, Joshua Gild, Haoren Wang · 2020 · Journal of the European Ceramic Society
98. A Series of Ternary Metal Chloride Superionic Conductors for High‐Performance All‐Solid‐State Lithium Batteries
    Jianwen Liang, Eveline van der Maas, Jing Li Luo et al. · 2022 · Advanced Energy Materials
99. Operando High‐Valence Cr‐Modified NiFe Hydroxides for Water Oxidation
    Ming Hua Wang, Zhen Xin Lou, Xuefeng Wu, Yuanwei Liu, Jia Yue Zhao, Kai Zhi Sun, Wen Xin Li, Jiacheng Chen, Haiyang Yuan, Minghui Zhu et al. · 2022 · Small
100. Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
     Jin Li, Meisa Zhou, Hong‐Hui Wu, Lifei Wang, Jian Zhang, Naiteng Wu, Kunming Pan, Guilong Liu, Yinggan Zhang, Jiajia Han et al. · 2024 · Advanced Energy Materials