Papers citing Finding New Perovskite Halides via Machine Learning
Low‐dimensional metal halide perovskites and related optoelectronic applications
InfoMat · 2020-02-06
Pengchen Zhu, Jia Zhu
Read original paper ↗ ·Discovering new perovskites with artificial intelligence
Journal of Solid State Chemistry · 2020-02-08
Juan Iván Gómez-Peralta, Xim Bokhimi
Read original paper ↗ ·Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods
Synthesis lectures on materials and optics · 2020-03-06
Ghanshyam Pilania, Prasanna V. Balachandran, James E. Gubernatis, Turab Lookman
Read original paper ↗ ·Hot Carriers in Halide Perovskites: How Hot Truly?
The Journal of Physical Chemistry Letters · 2020-03-17
Jia Wei Melvin Lim, David Giovanni, Marcello Righetto, Minjun Feng, Subodh G. Mhaisalkar, Nripan Mathews, Tze Chien Sum
Read original paper ↗ ·An Adaptive Machine Learning Strategy for Accelerating Discovery of Perovskite Electrocatalysts
ACS Catalysis · 2020-03-19
Zheng Li, Luke E. K. Achenie, Hongliang Xin
Read original paper ↗ ·High-Throughput Computational Studies in Catalysis and Materials Research, and Their Impact on Rational Design
WORLD SCIENTIFIC eBooks · 2020-03-19
Mohammad Atif Faiz Afzal, Johannes Hachmann
Read original paper ↗ ·Broad-band emission in metal halide perovskites: Mechanism, materials, and applications
Materials Science and Engineering R Reports · 2020-03-20
Guojun Zhou, Binbin Su, Jinglong Huang, Qinyuan Zhang, Zhiguo Xia
Read original paper ↗ ·Experimental, computational and thermodynamic studies in perovskites metal oxides for thermochemical fuel production: A review
International Journal of Hydrogen Energy · 2020-04-01
Alicia Bayón, Alberto de la Calle, Krishna Kamol Ghose, Alister J. Page, Robbie K. McNaughton
Read original paper ↗ ·Machine Learning for Predicting the Band Gaps of ABX 3 Perovskites from Elemental Properties
The Journal of Physical Chemistry C · 2020-04-02
Vladislav Gladkikh, Dong Yeon Kim, Amir Hajibabaei, Atanu Jana, Chang Woo Myung, Kwang S. Kim
Read original paper ↗ ·Polymorphous nature of cubic halide perovskites
Physical review. B./Physical review. B · 2020-04-27
Xingang Zhao, Gustavo M. Dalpian, Zhi Wang, Alex Zunger
Read original paper ↗ ·Machine learning in materials genome initiative: A review
Journal of Material Science and Technology · 2020-05-03
Yingli Liu, Chen Xu Niu, Zhuo Wang, Yong Gan, Yan Hong Zhu, Shuhong Sun, Tao Shen
Read original paper ↗ ·Developing an improved crystal graph convolutional neural network framework for accelerated materials discovery
Physical Review Materials · 2020-06-01
Cheol Woo Park, Chris Wolverton
Read original paper ↗ ·Accelerating inverse crystal structure prediction by machine learning: A case study of carbon allotropes
Frontiers of Physics · 2020-07-15
Wen Tong, Qun Wei, Haiyan Yan, Meiguang Zhang, Xuanmin Zhu
Read original paper ↗ ·Search for oxide glass compositions using Bayesian optimization with elemental-property-based descriptors
Journal of the Ceramic Society of Japan · 2020-07-31
Kensaku Nakamura, Naoya Otani, Tetsuya Koike
Read original paper ↗ ·Two-dimensional hybrid organic–inorganic perovskites as emergent ferroelectric materials
Journal of Applied Physics · 2020-08-13
Yu Hou, Congcong Wu, Dong Fang Yang, Tao Ye, Vasant Honavar, Adri C. T. van Duin, Kai Wang, Shashank Priya
Read original paper ↗ ·First-principles investigation of the physical properties of indium based fluoroperovskites InAF3 (A = Ca, Cd and Hg)
Materials Science in Semiconductor Processing · 2020-08-20
Sajid Ullah Khan, Rashid Ahmad, Nasir Mehmood, Faryal Hina, Alatf Ur Rehman, Shams u Zaman, H. J. Kim
Read original paper ↗ ·Machine learning for halide perovskite materials
Nano Energy · 2020-09-12
Lei Zhang, Mu He, Shaofeng Shao
Read original paper ↗ ·Explainable machine learning for materials discovery: predicting the potentially formable Nd–Fe–B crystal structures and extracting the structure–stability relationship
IUCrJ · 2020-09-22
Tien-Lam Pham, Duong‐Nguyen Nguyen, Minh-Quyet Ha, Hiori Kino, Takashi Miyake, Hieu‐Chi Dam
Read original paper ↗ ·Machine learning (ML)‐assisted optimization doping of KI in MAPbI 3 solar cells
Rare Metals · 2020-09-22
Sheng Jiang, Cuncun Wu, Fan Li, Yu‐Qing Zhang, Ze-Hao Zhang, Qiaohui Zhang, Zhijian Chen, Bo Qu, Lixin Xiao, Minlin Jiang
Read original paper ↗ ·Critical review of machine learning applications in perovskite solar research
Nano Energy · 2020-10-28
Beyza Yılmaz, Ramazan Yıldırım
Read original paper ↗ ·Integrated Experimental and Theoretical Approach for Efficient Design and Synthesis of Gold-Based Double Halide Perovskites
The Journal of Physical Chemistry C · 2020-11-19
Beata Bajorowicz, Alicja Mikołajczyk, Henry P. Pinto, Magdalena Miodyńska, Wojciech Lisowski, Tomasz Klimczuk, Ifat Kaplan‐Ashiri, Miri Kazes, Dan Oron, Adriana Zaleska‐Medynska
Read original paper ↗ ·Small Data Machine Learning: Classification and Prediction of Poly(ethylene terephthalate) Stabilizers Using Molecular Descriptors
ACS Applied Polymer Materials · 2020-11-23
Aaron L. Liu, Rahul Venkatesh, Michael McBride, Elsa Reichmanis, J. Carson Meredith, Martha A. Grover
Read original paper ↗ ·Crystal structure classification in ABO3 perovskites via machine learning
Computational Materials Science · 2020-12-01
Santosh Behara, Taher Poonawala, Tiju Thomas
Read original paper ↗ ·Center-Environment Feature Model for Machine Learning Study of Spinel Oxides Based on First-Principles Computations
The Journal of Physical Chemistry C · 2020-12-17
Yihang Li, Bin Xiao, Yuchao Tang, Fu Liu, Xiaomeng Wang, Feinan Yan, Yi Liu
Read original paper ↗ ·CINEMAS: Comprehensively INtegrated Environment for advanced MAterials Simulations
Computational Materials Science · 2020-12-25
Kapil Gupta, Satadeep Bhattacharjee, Seung‐Cheol Lee
Read original paper ↗ ·Anti-perovskites for solid-state batteries: recent developments, current challenges and future prospects
Journal of Materials Chemistry A · 2021-01-01
James Alexander Dawson, Theodosios Famprikis, Karen E. Johnston
Read original paper ↗ ·Developing sustainable, high-performance perovskites in photocatalysis: design strategies and applications
Chemical Society Reviews · 2021-01-01
Haoxin Mai, Dehong Chen, Yasuhiro Tachibana, Hajime Suzuki, Ryu Abe, Rachel A. Caruso
Read original paper ↗ ·Machine Learning Accelerated Insights of Perovskite Materials
Springer series in materials science · 2021-01-01
Shuaihua Lu, Yilei Wu, Ming‐Gang Ju, Jinlan Wang
Read original paper ↗ ·Perovskite materials as photocatalysts: Current status and future perspectives
Elsevier eBooks · 2021-01-01
Tuan Thanh Dang, Thi Lê Anh Nguyen, Khursheed B. Ansari, Vân Hà Nguyễn, Nguyễn Thanh Bình, Thi To Nga Phan, Thanh Huyen Pham, Dinh Thi Thuy Hang, Prince Nana Amaniampong, Emmanuela Kwao-Boateng, Quang Thang Trịnh
Read original paper ↗ ·Data-driven enhancement of cubic phase stability in mixed-cation perovskites
Machine Learning Science and Technology · 2021-01-14
Heesoo Park, Adnan Ali, Raghvendra Mall, Halima Bensmail, Stefano Sanvito, Fedwa El‐Mellouhi
Read original paper ↗ ·The 2D Halide Perovskite Rulebook: How the Spacer Influences Everything from the Structure to Optoelectronic Device Efficiency
Chemical Reviews · 2021-01-21
Xiaotong Li, Justin M. Hoffman, Mercouri G. Kanatzidis
Read original paper ↗ ·Machine learning for advanced energy materials
Energy and AI · 2021-01-24
Liu Yun, Oladapo Christopher Esan, Zhefei Pan, Liang An
Read original paper ↗ ·Machine learning for perovskite materials design and discovery
npj Computational Materials · 2021-01-29
Qiuling Tao, Pengcheng Xu, Minjie Li, Wencong Lu
Read original paper ↗ ·Multi-objective Bayesian optimization of optical glass compositions
Ceramics International · 2021-02-27
Kensaku Nakamura, Naoya Otani, Tetsuya Koike
Read original paper ↗ ·Machine learning in materials science: From explainable predictions to autonomous design
Computational Materials Science · 2021-03-10
Ghanshyam Pilania
Read original paper ↗ ·Beyond Tolerance Factor: Using Deep Learning for Prediction Formability of ABX3 Perovskite Structures
Advanced Theory and Simulations · 2021-04-02
Alexander E. Fedorovskiy, Valentin I. E. Queloz, Mohammad Khaja Nazeeruddin
Read original paper ↗ ·Graph representational learning for bandgap prediction in varied perovskite crystals
Computational Materials Science · 2021-05-06
Pravan Omprakash, Bharadwaj Manikandan, Ankit Sandeep, Romit Shrivastava, P. Viswesh, Devadas Bhat Panemangalore
Read original paper ↗ ·Comparative analysis of machine learning approaches on the prediction of the electronic properties of perovskites: A case study of ABX3 and A2BB’X6
Materials Today Communications · 2021-05-19
Ericsson Tetteh Chenebuah, Michel Nganbe, Alain Tchagang
Read original paper ↗ ·Structure and Dynamics of Energy Materials from Machine Learning Simulations: A Topical Review†
Chinese Journal of Chemistry · 2021-06-16
Shuhui Guan, Cheng Shang, Zhi‐Pan Liu
Read original paper ↗ ·Machine learning elastic constants of multi-component alloys
Computational Materials Science · 2021-07-08
Vivek Revi, Saurabh Kasodariya, Anjana Talapatra, Ghanshyam Pilania, Alankar Alankar
Read original paper ↗ ·Studies on the regularity of perovskite formation via machine learning
Computational Materials Science · 2021-07-24
Long Li, Qiuling Tao, Pengcheng Xu, Xue Yang, Wencong Lu, Minjie Li
Read original paper ↗ ·Is machine learning redefining the perovskite solar cells?
Journal of Energy Chemistry · 2021-07-30
Nishi Parikh, Meera R. Karamta, Neha Yadav, Mohammad Mahdi Tavakoli, Daniel Prochowicz, Seçkin Akın, Abul Kalam, Soumitra Satapathi, Pankaj Yadav
Read original paper ↗ ·Predicting the Formability of Hybrid Organic–Inorganic Perovskites via an Interpretable Machine Learning Strategy
The Journal of Physical Chemistry Letters · 2021-07-31
Shilin Zhang, Tian Lu, Pengcheng Xu, Qiuling Tao, Minjie Li, Wencong Lu
Read original paper ↗ ·Crystal-Site-Based Artificial Neural Networks for Material Classification
Crystals · 2021-08-29
Juan Iván Gómez-Peralta, Nidia Guadalupe García-Peña, Xim Bokhimi
Read original paper ↗ ·Search methods for inorganic materials crystal structure prediction
Current Opinion in Chemical Engineering · 2021-10-08
Xiangyu Yin, Chrysanthos E. Gounaris
Read original paper ↗ ·Application of Bayesian Optimization and Regression Analysis to Ferromagnetic Materials Development
IEEE Transactions on Magnetics · 2021-11-02
Alexandria Ruth Will-Cole, Aaron Gilad Kusne, Peter D. Tonner, Cunzheng Dong, Xianfeng Liang, Huaihao Chen, Nian X. Sun
Read original paper ↗ ·Molecular Bond Engineering and Feature Learning for the Design of Hybrid Organic–Inorganic Perovskite Solar Cells with Strong Noncovalent Halogen–Cation Interactions
The Journal of Physical Chemistry C · 2021-11-04
Johannes L. Teunissen, Fabiana Da Pieve
Read original paper ↗ ·Electronic structure and optical response of double perovskite Rb2NaCoF6 for optoelectronic devices
Physica B Condensed Matter · 2021-11-09
Moeen Ud Din, Junaid Munir, Muhammad Jamil, M.A. Saeed, Quratul Ain
Read original paper ↗ ·Recent progress in the data-driven discovery of novel photovoltaic materials
Journal of Materials Informatics · 2022-01-01
Lu Tian, Minjie Li, Wencong Lu, Tong‐Yi Zhang
Read original paper ↗ ·Robust stability, half metallic Ferromagnetism and structural properties of Co2RhSi, and Co2RuSi Heusler compounds-A first principles approach
Materials Today Proceedings · 2022-01-01
Ashwani Kumar, Tarun Chandel, Diwaker, Naveen Thakur
Read original paper ↗ ·