Papers citing Machine learning for perovskite materials design and discovery
Thermal evaporation and hybrid deposition of perovskite solar cells and mini-modules
Joule · 2022
Felix Utama Kosasih, Enkhtur Erdenebileg, Nripan Mathews, Subodh G. Mhaisalkar, Annalisa Bruno
Read original paper ↗ ·Accelerated chemical space search using a quantum-inspired cluster expansion approach
Matter · 2022
Hitarth Choubisa, Jehad Abed, Douglas Mendoza, Hidetoshi Matsumura, Masahiko Sugimura, Zhenpeng Yao, Ziyun Wang, Brandon R. Sutherland, Alán Aspuru‐Guzik, Edward Hartley Sargent
Read original paper ↗ ·Machine learning assisted synthetic acceleration of Ruddlesden-Popper and Dion-Jacobson 2D lead halide perovskites
Acta Materialia · 2022
Zhuo‐Zhen Zhang, Tian‐Meng Guo, Zhi-Gang Li, Fei‐Fei Gao, Wei Li, Fengxia Wei, Xian‐He Bu
Read original paper ↗ ·Facile and highly precise pH-value estimation using common pH paper based on machine learning techniques and supported mobile devices
Scientific Reports · 2022
Mohamed M. Elsenety, Mahmoud Basseem I. Mohamed, Mohamed E. Sultan, Badr A. Elsayed
Read original paper ↗ ·2D and quasi-2D hybrid perovskites containing organic cations with an extended conjugated system: opportunities and challenges
Journal of Materials Chemistry C · 2023
Wouter Van Gompel, Laurence Lutsen, Dirk J. M. Vanderzande
Read original paper ↗ ·A Property-Oriented Design Strategy of Multi-Principal Element Alloys Via Interpretable Ensemble Learning and Particle Swarm Optimization
SSRN Electronic Journal · 2023
Zheyu Chen, Chaofang Dong, Junzhi Cui, Jingli Ren
Read original paper ↗ ·Comparison of data-driven prediction methods for comprehensive coke ratio of blast furnace
High Temperature Materials and Processes · 2023
Xiuyun Zhai, Mingtong Chen
Read original paper ↗ ·Cross-Property Entanglement in Multi-Task Materials Learning Systems
Journal of Computational and Data-Driven Materials Engineering · 2023
Daniel Fischer, Laura Meier, Thomas Braun, Stefan Koch
Read original paper ↗ ·Design of polyimides with targeted glass transition temperature using a graph neural network
Journal of Materials Chemistry C · 2023
Haoke Qiu, Xuepeng Qiu, Xuemin Dai, Zhao‐Yan Sun
Read original paper ↗ ·Discovery Pipelines as Epistemic Filters: What Computational Workflows Exclude
Journal of Computational and Data-Driven Materials Engineering · 2023
Hiroshi Tanaka, Yuki Sato, Kenji Mori
Read original paper ↗ ·First principle prediction of structural and electronic properties of CsIO3
AIP conference proceedings · 2023
Rajaram Ravte, S. N. Tripathi, Madhu Sarwan, Sadhna Singh
Read original paper ↗ ·First-principles based Monte Carlo modeling of the magnetization of oxygen-deficient Fe-substituted SrTiO 3
Physical Chemistry Chemical Physics · 2023
Juan M. Florez, Miguel A. Solis, Emilio A. Cortés Estay, Eric Suárez Morell, Caroline Anne Ross
Read original paper ↗ ·Forecast of Modern Concrete Properties Using Machine Learning Methods
Emerging trends in mechatronics · 2023
Yashar Asghari, Golnaz Sadeghian, Seyed Esmaeil Mohammadyan-Yasouj, Elahe Mirzaei
Read original paper ↗ ·Introduction to perovskites
Elsevier eBooks · 2023
Luis Ortega‐San‐Martín
Read original paper ↗ ·Investigation of phase transition, mechanical behavior and lattice thermal conductivity of halogen perovskites using machine learning interatomic potentials
Physical Chemistry Chemical Physics · 2023
Yongbo Shi, Yuanyuan Chen, Haikuan Dong, Hao Wang, Ping Qian
Read original paper ↗ ·Investigation of the mechanical and transport properties of InGeX 3 (X = S, Se and Te) monolayers using density functional theory and machine learning
Physical Chemistry Chemical Physics · 2023
Yong-Bo Shi, Yuan-Yuan Chen, Hao Wang, Shuo Cao, Yuan-Xu Zhu, Meng-Fan Chu, Zhu-Feng Shao, Haikuan Dong, Ping Qian
Read original paper ↗ ·Lead-free perovskite-inspired semiconductors for indoor light-harvesting – the present and the future
Chemical Communications · 2023
Gopal Krishnamurthy Grandhi, Lethy Krishnan Jagadamma, Vipinraj Sugathan, Basheer Al‐Anesi, Debjit Manna, Paola Vivo
Read original paper ↗ ·Machine Learning Design of Aluminum-Lithium Alloys with High Strength
Computers, materials & continua/Computers, materials & continua (Print) · 2023
Hongxia Wang, Zhiqiang Duan, Qingwei Guo, Yongmei Zhang, Yuhong Zhao
Read original paper ↗ ·Machine-learning prediction of thermal expansion coefficient for perovskite oxides with experimental validation
Physical Chemistry Chemical Physics · 2023
Kevin P. McGuinness, Anton O. Oliynyk, Sangjoon Lee, Beatriz Molero-Sánchez, Paul Kwesi Addo
Read original paper ↗ ·Multimodal, Physics-Informed Machine Learning for Accelerated Materials Design and Discovery
Journal of Computational and Data-Driven Materials Engineering · 2023
Lucas Meyer, Stefan Braun, Anna Schmid, David Keller
Read original paper ↗ ·Designing sulfonated polyimide-based fuel cell polymer electrolyte membranes using machine learning approaches
Computational Materials Science · 2023
Tushita Rohilla, Narinder Singh, Narayanan Chatapuram Krishnan, Dhiraj K. Mahajan
Read original paper ↗ ·Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data
Solar RRL · 2023
Felix Laufer, Sebastian Ziegler, Fabian Schackmar, Edwin A. Moreno Viteri, Markus Götz, Charlotte Debus, Fabian Isensee, Ulrich W. Paetzold
Read original paper ↗ ·Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion
Advanced Materials · 2023
Carola Lampe, Ioannis Kouroudis, Milan Harth, Stefan Martin, Alessio Gagliardi, Alexander S. Urban
Read original paper ↗ ·Analysis and evaluation of machine learning applications in materials design and discovery
Materials Today Communications · 2023
Mahsa Golmohammadi, Masoud Aryanpour
Read original paper ↗ ·A Critical Review of Machine Learning Techniques on Thermoelectric Materials
The Journal of Physical Chemistry Letters · 2023
Xiangdong Wang, Ye Sheng, Jinyan Ning, Jinyang Xi, Lili Xi, Di Qiu, Jiong Yang, Xuezhi Ke
Read original paper ↗ ·Reshaping the material research paradigm of electrochemical energy storage and conversion by machine learning
EcoMat · 2023
Hao Yang, Zhengqiu He, Mengdi Zhang, Xiaojie Tan, Kang Sun, Haiyan Liu, Ning Wang, Lu Guan, Chongze Wang, Yi Wan, Wanli Wang, Han Xiang Hu, Mingbo Wu
Read original paper ↗ ·Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects
Advanced Functional Materials · 2023
Yiming Liu, Xinyu Tan, Jie Liang, Hongwei Han, Peng Xiang, Wensheng Yan
Read original paper ↗ ·Ytterbium-Doped Lead–Halide Perovskite Nanocrystals: Synthesis, Near-Infrared Emission, and Open-Source Machine Learning Model for Prediction of Optical Properties
Nanomaterials · 2023
Yuliya A. Timkina, Vladislav S. Tuchin, Aleksandr P. Litvin, Elena V. Ushakova, Andrey L. Rogach
Read original paper ↗ ·Passivation Engineering Using Ultrahydrophobic Donor–π–Acceptor Organic Dye with Machine Learning Insights for Efficient and Stable Perovskite Solar Cells
Solar RRL · 2023
Mohamed M. Elsenety, Eleftherios Christopoulos, Polycarpos Falaras
Read original paper ↗ ·Development of a Geometric Descriptor for the Strategic Synthesis of Remeika Phases
Chemistry of Materials · 2023
Alexis Dominguez Montero, Gregory T. McCandless, Olatunde Oladehin, Ryan Baumbach, Julia Y. Chan
Read original paper ↗ ·Small data machine learning in materials science
npj Computational Materials · 2023
Pengcheng Xu, Xiaobo Ji, Minjie Li, Wencong Lu
Read original paper ↗ ·Machine learning assisted classification of post-treatment amines for increasing the stability of organic-inorganic hybrid perovskites
Materials Today Communications · 2023
Jing Zheng, Lu Tian, Zhengheng Lian, Zhengheng Lian, Minjie Li
Read original paper ↗ ·Machine Learning for Halide Perovskite Materials ABX3 (B = Pb, X = I, Br, Cl) Assessment of Structural Properties and Band Gap Engineering for Solar Energy
Materials · 2023
Afnan Alhashmi, Mohammed Benali Kanoun, Souraya Goumri‐Said
Read original paper ↗ ·Accelerated prediction of perovskite material properties with classical machine learning and graph neural network
Materials Express · 2023
Zhihao Dong, Youyong Li, Youyong Li
Read original paper ↗ ·Structural, topological, dielectric, and electrical properties of a novel calcium bismuth tungstate ceramic for some device applications
Journal of Materials Science Materials in Electronics · 2023
Sudhansu Sekhar Hota, Debasish Panda, Ram Naresh Prasad Choudhary
Read original paper ↗ ·Machine Learning-Aided Band Gap Engineering of BaZrS3 Chalcogenide Perovskite
ACS Applied Materials & Interfaces · 2023
Shyam Sharma, Zachary D. Ward, Kevin Bhimani, Mukul Sharma, Joshua Quinton, Trevor David Rhone, Su‐Fei Shi, Humberto Terrones, Nikhil A. Koratkar
Read original paper ↗ ·Hydrogen anion as a strong magnetic mediator for obtaining high-temperature ferromagnetic semiconductors: The case of hydride double perovskites
Physical review. B./Physical review. B · 2023
Chao Jia, Xingxing Li, Qunxiang Li, Jinlong Yang
Read original paper ↗ ·Feature Selection in Machine Learning for Perovskite Materials Design and Discovery
Materials · 2023
Junya Wang, Pengcheng Xu, Xiaobo Ji, Minjie Li, Wencong Lu
Read original paper ↗ ·Perspective on machine learning based investigated materials to realize Stable-Efficient-Toxin free (S-E-T) perovskite solar cells
Materials Today Proceedings · 2023
Vinitha B. Elza, V. Suresh Babu, Nelsa Abraham
Read original paper ↗ ·Crystal structure prediction of quasi-two-dimensional lead halide perovskites
Physical review. B./Physical review. B · 2023
Juraj Ovčar, Luca Grisanti, Bruno Mladineo, Aleksandra B. Djurišić, Jasminka Popović, Ivor Lončarić
Read original paper ↗ ·An Intelligent, User‐Inclusive Pipeline for Organic Semiconductor Design
Advanced Theory and Simulations · 2023
Daniel M. Packwood, Yu Kaneko, Daiji Ikeda, Mitsuru Ohno
Read original paper ↗ ·Perspectives on Perovskite Solar Cells Under the Glass of Characterization and Model-based Research
Venue not supplied by source · 2023
Pablo D. Badillo, Aleksandr E. Degterev
Read original paper ↗ ·Machine-learning-based prediction of cubic perovskite formation energy and magnetism
Scientia Sinica Technologica · 2023
Jie Chen, Yiyan Song, Shu‐Zong Li, Zhi-Xiong Que, WeiBing ZHANG
Read original paper ↗ ·Structural, Electronic, Elastic, and Optical Properties of Cubic BaLiX3 (X = F, Cl, Br, or I) Perovskites: An Ab-initio DFT Study
Indonesian Journal of Chemistry · 2023
Redi Kristian Pingak, Soukaina Bouhmaidi, Larbi Setti, Bartholomeus Pasangka, Bernandus Bernandus, Hadi Imam Sutaji, Fidelis Nitti, Meksianis Zadrak Ndii
Read original paper ↗ ·Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials
Integrating materials and manufacturing innovation · 2023
Abdul Wahab Ziaullah, Sanjay Chawla, Fedwa El‐Mellouhi
Read original paper ↗ ·Methods, progresses, and opportunities of materials informatics
InfoMat · 2023
Chen Li, Kun Zheng
Read original paper ↗ ·Optoelectronic property tuning of A2BX6(A = In, tl; B = Pd, pt; X = Cl, Br, I): A first-principles study
Chemical Physics Letters · 2023
Tian‐Yu Tang, Tianyu Tang, Xin-Feng Diao, Yan-Lin Tang
Read original paper ↗ ·Origin of low lattice thermal conductivity and mobility of lead-free halide double perovskites
Journal of Alloys and Compounds · 2023
Ye Su, Yuan-Yuan Chen, Hao Wang, Haikuan Dong, Shuo Cao, Li-Bin Shi, Ping Qian
Read original paper ↗ ·Machine Learning Assisted Analysis, Prediction, and Fabrication of High‐Efficiency CZTSSe Thin Film Solar Cells
Advanced Functional Materials · 2023
Vijay Chandrakant Karade, Santosh Shashikant Sutar, Seung Wook Shin, Mahesh P. Suryawanshi, Jun Sung Jang, Kuldeep Singh Gour, Rajanish K. Kamat, Jae Ho Yun, Tukaram Dattatray Dongale, Jin Hyeok Kim
Read original paper ↗ ·A review on computational modeling of instability and degradation issues of halide perovskite photovoltaic materials
Wiley Interdisciplinary Reviews Computational Molecular Science · 2023
Pranjul Bhatt, Ayush Kumar Pandey, Ashutosh Rajput, Kshitij Kumar Sharma, Sk Abdul Moyez, Abhishek Tewari
Read original paper ↗ ·