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

Cited by (1,039)

Items 901–1,000 of 1,039

1. AFLOW-ML: A RESTful API for machine-learning predictions of materials properties
   Eric Gossett, Cormac Toher, Corey Oses, Olexandr Isayev, Fleur Legrain, Frisco Rose, Eva Zurek, Jesús Carrete, Natalio Mingo, Alexander Tropsha et al. · 2018 · Computational Materials Science
2. A New Anisotropic Dirac Cone Material: A B2S Honeycomb Monolayer
   Yu Zhao, Xiaoyin Li, Junyi Liu, Cunzhi Zhang, Qian Wang · 2018 · The Journal of Physical Chemistry Letters
3. Blowing Iron Chalcogenides into Two-Dimensional Flaky Hybrids with Superior Cyclability and Rate Capability for Potassium-Ion Batteries
   Hu Wu, Shiyao Lu, Siyuan Xu et al. · 2021 · ACS Nano
4. Transferable Multilevel Attention Neural Network for Accurate Prediction of Quantum Chemistry Properties via Multitask Learning
   Ziteng Liu, Liqiang Lin, Qingqing Jia, Zheng Cheng, Yanyan Jiang, Yanwen Guo, Jing Ma · 2021 · Journal of Chemical Information and Modeling
5. Origins of the Instability of Nonprecious Hydrogen Evolution Reaction Catalysts at Open-Circuit Potential
   Zhenbin Wang, Ya‐Rong Zheng, Joseph H. Montoya, Degenhart Hochfilzer, Ang Cao, Jakob Kibsgaard, Ib Chorkendorff, Jens K. Nørskov · 2021 · ACS Energy Letters
6. Data-Driven Design of Polymer-Based Biomaterials: High-throughput Simulation, Experimentation, and Machine Learning
   Roshan A. Patel, Michael A. Webb · 2023 · ACS Applied Bio Materials
7. Physics guided deep learning for generative design of crystal materials with symmetry constraints
   Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Zhenyao Wu · 2023 · npj Computational Materials
8. Advances in data‐assisted high‐throughput computations for material design
   Dingguo Xu, Qiao Zhang, Xiangyu Huo, Yitong Wang, Mingli Yang · 2023 · Materials Genome Engineering Advances
9. Tuning collective anion motion enables superionic conductivity in solid-state halide electrolytes
   Zhantao Liu, Po‐Hsiu Chien, Shuo Wang · 2024 · Nature Chemistry
10. Machine Learning of Parameters for Accurate Semiempirical Quantum Chemical Calculations
    Pavlo O. Dral, O. Anatole von Lilienfeld, Walter Thiel · 2015 · Journal of Chemical Theory and Computation
11. Materials informatics: a journey towards material design and synthesis
    KEISUKE G. TAKAHASHI, Yuzuru Tanaka · 2016 · Dalton Transactions
12. Anisotropic Electronic Characteristics, Adsorption, and Stability of Low-Index BiVO4 Surfaces for Photoelectrochemical Applications
    Jun Hu, Wei Chen, Xin Yi Zhao · 2018 · ACS Applied Materials & Interfaces
13. Influence of Anion Charge on Li Ion Diffusion in a New Solid-State Electrolyte, Li3LaI6
    Zhenming Xu, Xin Chen, Ke Liu · 2019 · Chemistry of Materials
14. Identification of two-dimensional layered dielectrics from first principles
    Mehrdad Rostami Osanloo, Maarten L. Van de Put, Ali Saadat, William G. Vandenberghe · 2021 · Nature Communications
15. Scalable deeper graph neural networks for high-performance materials property prediction
    Sadman Sadeed Omee, Steph-Yves Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu · 2022 · Patterns
16. Tuning the optoelectronic and thermoelectric characteristics of narrow bandgap Rb2AlInX6(X= Cl, Br, I) double perovskites: A DFT study
    Saba Iqbal, Ghulam Mustafa, Mazia Asghar · 2022 · Materials Science in Semiconductor Processing
17. Toward the Rational Design of Mid‐Infrared Nonlinear Optical Materials with Targeted Properties via a Multi‐Level Data‐Driven Approach
    Wenbing Cai, Ailijiang Abudurusuli, Congwei Xie, Evgenii Tikhonov, Junjie Li, Shilie Pan, Zhihua Yang · 2022 · Advanced Functional Materials
18. Epitaxial growth of an atom-thin layer on a LiNi0.5Mn1.5O4 cathode for stable Li-ion battery cycling
    Xiao-Bo Zhu, T. Schulli, Xiao-Wei Yang, Tong'en Lin, Yu-Xiang Hu, N. Cheng, H. Fujii, K. Ozawa, B. Cowie, Q. Gu et al. · 2022 · Nature Communications
19. Elucidating the Role of Antisolvents on the Surface Chemistry and Optoelectronic Properties of CsPbBrxI3-x Perovskite Nanocrystals
    Junzhi Ye, Zhenchao Li, Dominik J. Kubicki et al. · 2022 · Journal of the American Chemical Society
20. Effect of surface functional groups on MXene conductivity
    Rabi Khanal, Stephan Irle · 2023 · The Journal of Chemical Physics
21. Materials Data Infrastructure: A Case Study of the Citrination Platform to Examine Data Import, Storage, and Access
    Jordan O’Mara, Bryce Meredig, Kyle Jay Michel · 2016 · JOM
22. Li3Y(PS4)2 and Li5PS4Cl2: New Lithium Superionic Conductors Predicted from Silver Thiophosphates using Efficiently Tiered Ab Initio Molecular Dynamics Simulations
    Zhuoying Zhu, Iek‐Heng Chu, Shyue Ping Ong · 2016 · Chemistry of Materials
23. Particle Morphology and Lithium Segregation to Surfaces of the Li 7 La 3 Zr 2 O 12 Solid Electrolyte
    Pieremanuele Canepa, James Alexander Dawson, Gopalakrishnan Sai Gautam, Joel M. Statham, Stephen C. Parker, M. Saiful Islam · 2018 · Chemistry of Materials
24. Exploring interfacial stability of solid-state electrolytes at the lithium-metal anode surface
    Luis Eduardo Camacho-Forero, Perla B. Balbuena · 2018 · Journal of Power Sources
25. Searching for materials with high refractive index and wide band gap: A first-principles high-throughput study
    Francesco Naccarato, Francesco Ricci, Jin Suntivich · 2019 · Physical Review Materials
26. The existence and impact of persistent ferroelectric domains in MAPbI 3
    Lauren M. Garten, David T. Moore, Sanjini U. Nanayakkara et al. · 2019 · Science Advances
27. Lithium Induced Nano‐Sized Copper with Exposed Lithiophilic Surfaces to Achieve Dense Lithium Deposition for Lithium Metal Anode
    Ji Qian, Shuo Wang, Yu Li · 2020 · Advanced Functional Materials
28. Targeted design of advanced electrocatalysts by machine learning
    Letian Chen, Xu Zhang, An Chen, Sai Yao, Xu Hu, Zhen Ping Zhou · 2021 · CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION)
29. Machine‐Learning‐Assisted Determination of the Global Zero‐Temperature Phase Diagram of Materials
    Jonathan Schmidt, Noah Hoffmann, Hai‐Chen Wang, Pedro Borlido, Pedro J. M. A. Carriço, Tiago F. T. Cerqueira, Silvana Botti, Miguel A. L. Marques · 2023 · Advanced Materials
30. Automation and machine learning augmented by large language models in a catalysis study
    Yuming Su, Xue Wang, Yubo Ye, Yibo Xie, Yujing Xu, Yibin Jiang, Cheng Wang · 2024 · Chemical Science
31. Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
    Hayeon Bae, Hyunjin Ji, Konstantin Konstantinov, Ronald Sluyter, Katsuhiko Ariga, Jung Ho Kim, Jung Ho Kim · 2025 · Advanced Materials
32. Predicting density functional theory total energies and enthalpies of formation of metal-nonmetal compounds by linear regression
    Ann M. Deml, Ryan O’Hayre, Chris M. Wolverton, Vladan Stevanović · 2016 · Physical review. B./Physical review. B
33. Enhanced stability and thermoelectric figure-of-merit in copper selenide by lithium doping
    Stephen Dongmin Kang, Jan‐Hendrik Pöhls, Umut Aydemir et al. · 2017 · Materials Today Physics
34. Black-hole horizon in the Dirac semimetal Zn2In2S5
    Huaqing Huang, Kyung‐Hwan Jin, Feng Liu · 2018 · Physical review. B./Physical review. B
35. Extending Shannon's ionic radii database using machine learning
    Ahmer A.B. Baloch, Saad M. Alqahtani, Faisal Mumtaz, Ali H. Muqaibel, Sergey N. Rashkeev, Fahhad H. Alharbi · 2021 · Physical Review Materials
36. Interfacial Atomistic Mechanisms of Lithium Metal Stripping and Plating in Solid‐State Batteries
    Menghao Yang, Yunsheng Liu, Adelaide M. Nolan · 2021 · Advanced Materials
37. Tellurium Single‐Crystal Arrays by Low‐Temperature Evaporation and Crystallization
    Chunsong Zhao, Humberto Batiz, Bengisu Yaşar · 2021 · Advanced Materials
38. Machine learning for predicting thermal transport properties of solids
    Xin Qian, Ronggui Yang · 2021 · Materials Science and Engineering R Reports
39. Unlocking the hidden chemical space in cubic-phase garnet solid electrolyte for efficient quasi-all-solid-state lithium batteries
    Sung‐Kyun Jung, Hyeokjo Gwon, Hyungsub Kim, Gabin Yoon, Dongki Shin, Jihyun Hong, Changhoon Jung, Ju‐Sik Kim · 2022 · Nature Communications
40. Advances in machine learning- and artificial intelligence-assisted material design of steels
    Guangfei Pan, Feiyang Wang, Chunlei Shang, Hong‐Hui Wu, Guilin Wu, Junheng Gao, Shuize Wang, Zhijun Gao, Xiaoye Zhou, Xinping Mao · 2023 · International Journal of Minerals Metallurgy and Materials
41. Review—Extremely Thin Amorphous Indium Oxide Transistors
    Adam R. Charnas, Zhuocheng Zhang, Zehao Lin · 2023 · Advanced Materials
42. AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis
    Oses, Corey, Gossett, Eric, Hicks, David, Rose, Frisco, Mehl, Michael J., Perim, Eric, Takeuchi, Ichiro, Sanvito, Stefano, Scheffler, Matthias, Lederer, Yoav et al. · 2018 · Journal of Chemical Information and Modeling
43. Geometrical Properties Can Predict CO2and N2Adsorption Performance of Metal–Organic Frameworks (MOFs) at Low Pressure
    Michael Fernández, Amanda Susan Barnard · 2016 · ACS Combinatorial Science
44. Route to Stable Lead-Free Double Perovskites with the Electronic Structure of CH3NH3PbI3: A Case for Mixed-Cation [Cs/CH3NH3/CH(NH2)2]2InBiBr6
    George Volonakis, Amir A. Haghighirad, Henry James Snaith, Feliciano Giustino · 2017 · The Journal of Physical Chemistry Letters
45. Atomic adsorption on graphene with a single vacancy: systematic DFT study through the periodic table of elements
    Igor A. Pašti, Aleksandar Z. Jovanović, Ana S. Dobrota · 2017 · Physical Chemistry Chemical Physics
46. Searching for Hidden Perovskite Materials for Photovoltaic Systems by Combining Data Science and First Principle Calculations
    KEISUKE G. TAKAHASHI, Lauren Takahashi, Itsuki Miyazato, Yuzuru Tanaka · 2018 · ACS Photonics
47. Water Contributes to Higher Energy Density and Cycling Stability of Prussian Blue Analogue Cathodes for Aqueous Sodium-Ion Batteries
    Xingyu Guo, Zhenbin Wang, Zhi Deng · 2019 · Chemistry of Materials
48. Chalcogenide Materials and Derivatives for Photovoltaic Applications
    Marie Buffière, Dattatray Sadashiv Dhawale, Fedwa El‐Mellouhi · 2019 · Energy Technology
49. High‐throughput computational materials screening and discovery of optoelectronic semiconductors
    Shulin Luo, Tianshu Li, Xinjiang Wang, Muhammad Faizan, Lijun Zhang · 2020 · Wiley Interdisciplinary Reviews Computational Molecular Science
50. Advances in the chemistry and applications of alkali-metal–gas batteries
    Haining Gao, Betar Maurkah Gallant · 2020 · Nature Reviews Chemistry
51. Data-Driven Discovery and Synthesis of High Entropy Alloy Hydrides with Targeted Thermodynamic Stability
    Matthew David Witman, Gustav Ek, Sanliang Ling, Jeffery M. Chames, Sapan Agarwal, Justin Wong, Mark D. Allendorf, Martin Sahlberg, Vitalie Stavila · 2021 · Chemistry of Materials
52. Bidirectionally Compatible Buffering Layer Enables Highly Stable and Conductive Interface for 4.5 V Sulfide‐Based All‐Solid‐State Lithium Batteries
    Longlong Wang, Xingwei Sun, Jun Ma et al. · 2021 · Advanced Energy Materials
53. Nitrate‐to‐Ammonia Conversion at an InSn‐Enriched Liquid‐Metal Electrode
    Jessica Crawford, Hanqing Yin, Aijun Du · 2022 · Angewandte Chemie International Edition
54. A general strategy and a consolidated mechanism for low-methane hydrogenolysis of polyethylene over ruthenium
    Cong Wang, Kewei Yu, Boris Sheludko, Tianjun Xie, Pavel A. Kots, Brandon C. Vance, Pawan Kumar, Eric A. Stach, Weiqing Zheng, Dionisios G. Vlachos · 2022 · Applied Catalysis B: Environmental
55. DFT aided prediction of phase stability, optoelectronic and thermoelectric properties of A2AuScX6 (A= Cs, Rb; X= Cl, Br, I) double perovskites for energy harvesting technology
    S. Mahmud, M. A. Ali, M. M. Hossain · 2023 · Vacuum
56. Pretraining of attention-based deep learning potential model for molecular simulation
    Duo Zhang, Hangrui Bi, Fu‐Zhi Dai, Wanrun Jiang, Xinzijian Liu, Linfeng Zhang, Han Wang · 2024 · npj Computational Materials
57. A band-gap database for semiconducting inorganic materials calculated with hybrid functional
    Sangtae Kim, Miso Lee, Chang‐Ho Hong et al. · 2020 · Scientific Data
58. Materials Knowledge Systems in Python—a Data Science Framework for Accelerated Development of Hierarchical Materials
    David B. Brough, Daniel Wheeler, Surya R. Kalidindi · 2017 · Integrating materials and manufacturing innovation
59. Analyzing environmental sustainability methods for use earlier in the product lifecycle
    Michael P. Brundage, William Z. Bernstein, Steven Hoffenson, Qing Chang, Hidetaka Nishi, Timothy Kliks, Katherine C. Morris · 2018 · Journal of Cleaner Production
60. Density Functional Theory Modeling of MnO2 Polymorphs as Cathodes for Multivalent Ion Batteries
    Taylor R. Juran, Joshua Young, Manuel Smeu · 2018 · The Journal of Physical Chemistry C
61. Ultrahigh-performance tungsten-doped perovskites for the oxygen evolution reaction
    Gao Chen, Zhiwei Hu, Yanping Zhu, Zhi‐Gang Chen, Yijun Zhong, Hong‐Ji Lin, Chien‐Te Chen, Liu Hao Tjeng, Wei Zhou, Zongping Shao · 2018 · Journal of Materials Chemistry A
62. Ammonia, a Switch for Controlling High Ionic Conductivity in Lithium Borohydride Ammoniates
    Tengfei Zhang, Yongming Wang, Song Tao et al. · 2018 · Joule
63. Classification of local chemical environments from x-ray absorption spectra using supervised machine learning
    Matthew R. Carbone, Shinjae Yoo, Mehmet Topsakal, Deyu Lu · 2019 · Physical Review Materials
64. Stabilizing the Interface between Sodium Metal Anode and Sulfide-Based Solid-State Electrolyte with an Electron-Blocking Interlayer
    Pu Hu, Ye Zhang, Xiaowei Chi · 2019 · ACS Applied Materials & Interfaces
65. Robocrystallographer: automated crystal structure text descriptions and analysis
    Alex M. Ganose, Anubhav Jain · 2019 · MRS Communications
66. Periodicity in the Electrochemical Dissolution of Transition Metals
    Florian Dominik Speck, Alexandra Zagalskaya, Vitaly Alexandrov, Serhiy Cherevko · 2021 · Angewandte Chemie International Edition
67. 2D Heterostructure of Amorphous CoFeB Coating Black Phosphorus Nanosheets with Optimal Oxygen Intermediate Absorption for Improved Electrocatalytic Water Oxidation
    Huayu Chen, Junxiang Chen, Pei Ning, Xin Chen, Junhui Liang, Xin Jian Yao, Da Chen, Laishun Qin, Yuexiang Huang, Zhenhai Wen · 2021 · ACS Nano
68. Machine learning in energy storage materials
    Zhong‐Hui Shen, Hanxing Liu, Yang Shen, Jia‐Mian Hu, Long‐Qing Chen, Ce‐Wen Nan · 2022 · Interdisciplinary materials
69. Accelerating the prediction of stable materials with machine learning
    Sean D. Griesemer, Yi Xia, Chris M. Wolverton · 2023 · Nature Computational Science
70. Complementary probes for the electrochemical interface
    Ernest Pastor, Zan Lian, Lu Xia, David Écija, José Ramón Galán‐Mascarós, Sara Barja, Sixto Giménez, Jordi Arbiol, Núria López, Francisco Pelayo García de Arquer · 2024 · Nature Reviews Chemistry
71. Crystal Diffusion Variational Autoencoder for Periodic Material Generation
    Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi Jaakkola · 2021 · arXiv (Cornell University)
72. Metal Iodate-Based Energetic Composites and Their Combustion and Biocidal Performance
    Haiyang Wang, Guoqiang Jian, Wenbo Zhou · 2015 · ACS Applied Materials & Interfaces
73. Neural network based classification of crystal symmetries from x-ray diffraction patterns
    Pascal M. Vecsei, Kenny Choo, J. Chang, Titus Neupert · 2019 · Physical review. B./Physical review. B
74. Coupling the High-Throughput Property Map to Machine Learning for Predicting Lattice Thermal Conductivity
    Rinkle Juneja, George Yumnam, Swanti Satsangi, Abhishek Kumar Singh · 2019 · Chemistry of Materials
75. Autonomous materials discovery driven by Gaussian process regression with inhomogeneous measurement noise and anisotropic kernels
    Marcus Michael Noack, Gregory S. Doerk, Ruipeng Li, Jason K. Streit, Richard A. Vaia, Kevin G. Yager, Masafumi Fukuto · 2020 · Scientific Reports
76. Elucidation of the Jahn-Teller effect in a pair of sodium isomer
    Pengfei Wang, Ting Jin, Jiaxun Zhang et al. · 2020 · Nano Energy
77. Compositional grading of a 316L-Cu multi-material part using machine learning for the determination of selective laser melting process parameters
    Behzad Rankouhi, Salman Jahani, Frank E. Pfefferkorn, Dan J. Thoma · 2021 · Additive manufacturing
78. Modified embedded-atom method interatomic potentials for the Co-Cr, Co-Fe, Co-Mn, Cr-Mn and Mn-Ni binary systems
    Won-Mi Choi, Yongmin Kim, Donghyuk Seol · 2017 · Computational Materials Science
79. Self-assembled alloy nanoparticles in a layered double perovskite as a fuel oxidation catalyst for solid oxide fuel cells
    Ohhun Kwon, Kyeounghak Kim, Sangwook Joo · 2018 · Journal of Materials Chemistry A
80. Systematic search for two-dimensional ferromagnetic materials
    Yu Zhu, Xianghua Kong, Trevor David Rhone, Hong Yu Guo · 2018 · Physical Review Materials
81. TeaNet: Universal neural network interatomic potential inspired by iterative electronic relaxations
    So Takamoto, Satoshi IZUMI, Ju Li · 2022 · Computational Materials Science
82. Molecular dynamics simulation and machine learning of mechanical response in non-equiatomic FeCrNiCoMn high-entropy alloy
    Liang Zhang, Kun Qian, Jun Huang, Mao Lıu, Yasushi Shibuta · 2021 · Journal of Materials Research and Technology
83. Theoretical investigations of optoelectronic and transport properties of Rb2YInX6 (X = Cl, Br, I) double perovskite materials for solar cell applications
    Pakeeza Aymen Nawaz, Ghulam Mustafa, Sadia Sagar Iqbal · 2021 · Solar Energy
84. The Combination of Structure Prediction and Experiment for the Exploration of Alkali‐Earth Metal‐Contained Chalcopyrite‐Like IR Nonlinear Optical Material
    Peng Wang, Yu Chu, Abudukadi Tudi · 2022 · Advanced Science
85. Discovery of LaAlO3 as an efficient catalyst for two-electron water electrolysis towards hydrogen peroxide
    Jihyun Baek, Qiu Jin, Nathan Scott Johnson · 2022 · Nature Communications
86. Building a quantitative composition-microstructure-property relationship of dual-phase steels via multimodal data mining
    Da Ren, Chenchong Wang, Xiaolu Wei, Qingquan Lai, Wei Xu · 2023 · Acta Materialia
87. Advances of machine learning in materials science: Ideas and techniques
    Sue Sin Chong, Yi Sheng Ng, Hui‐Qiong Wang, Jin‐Cheng Zheng · 2023 · Frontiers of Physics
88. ChemOS 2.0: An orchestration architecture for chemical self-driving laboratories
    Malcolm Sim, Mohammad Ghazi Vakili, Felix Strieth‐Kalthoff, Han Hao, Riley J. Hickman, Santiago Miret, Sergio Pablo‐García, Alán Aspuru‐Guzik · 2024 · Matter
89. Machine learning in materials research: Developments over the last decade and challenges for the future
    Anubhav Jain · 2024 · Current Opinion in Solid State and Materials Science
90. Photocatalytic upcycling of polylactic acid to alanine by sulfur vacancy-rich cadmium sulfide
    Yue Rio Wu, Phuc T.T. Nguyen, Sie Shing Wong, Minjun Feng, Peijie Han, Bingqing Yao, Qian He, Tze Chien Sum, Tianyong Zhang, Ning Yan · 2025 · Nature Communications
91. Machine Learning Modeling for Accelerated Battery Materials Design in the Small Data Regime
    Sendek, Austin D., Ransom, Brandi, Cubuk, Ekin D., Pellouchoud, Lenson A., Nanda, Jagjit, Reed, Evan J. · 2022 · Advanced Energy Materials
92. Influence of the secondary phase LiTiOPO 4 on the properties of Li 1+x Al x Ti 2−x (PO 4 ) 3 (x = 0; 0.3)
    Thomas Hupfer, Ethel C. Bucharsky, Karl G. Schell · 2016 · Solid State Ionics
93. Deep learning model for finding new superconductors
    Tomohiko Konno, Hodaka Kurokawa, Fuyuki Nabeshima, Yuki Sakishita, Ryō Ogawa, Iwao Hosako, Atsutaka Maeda · 2021 · Physical review. B./Physical review. B
94. Machine Learning and Big Data Provide Crucial Insight for Future Biomaterials Discovery and Research
    Jacob Kerner, Alan B. Dogan, Horst A. von Recum · 2020 · Acta Biomaterialia
95. Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys
    Ankit Roy, M. F. N. Taufique, Hrishabh Khakurel, Ram Devanathan, Duane D. Johnson, Ganesh Balasubramanian · 2022 · npj Materials Degradation
96. Defect‐Promoted Ni‐Based Layer Double Hydroxides with Enhanced Deprotonation Capability for Efficient Biomass Electrooxidation
    Yuwei Yang, William Hadinata Lie, Raymond R. Unocic, Jodie A. Yuwono, Malte Klingenhof, Thomas Merzdorf, Paul Wolfgang Buchheister, Matthias Kroschel, Anne Y. Walker, Leighanne C. Gallington et al. · 2023 · Advanced Materials
97. Architecting Metal–Organic Frameworks at Molecular Level toward Direct Air Capture
    Zi‐Ming Ye, Yi Xie, Kent O. Kirlikovali, Shengchang Xiang, Omar K. Farha, Banglin Chen · 2025 · Journal of the American Chemical Society
98. Distinct Solid‐Electrolyte‐Interphases on Sn (100) and (001) Electrodes Studied by Soft X‐Ray Spectroscopy
    Ruimin Qiao, Ivan T. Lucas, Altaf Karim · 2014 · Advanced Materials Interfaces
99. Unveil the Chemistry of Olivine FePO4 as Magnesium Battery Cathode
    Ruigang Zhang, Chen Ling · 2016 · ACS Applied Materials & Interfaces
100. Unexpectedly Strong Auger Recombination in Halide Perovskites
     Jimmy‐Xuan Shen, Xie Zhang, Suvadip Das · 2018 · Advanced Energy Materials