Papers citing Finding New Perovskite Halides via Machine Learning
A machine learning model for screening thermodynamic stable lead-free halide double perovskites
Computational Materials Science · 2022
Gui-Qin Liang, Jian Zhang
Read original paper ↗ ·ABO3 Perovskites’ Formability Prediction and Crystal Structure Classification using Machine Learning
International Conference on Innovations in Science, Engineering and Technology (ICISET) · 2022
Minhaj Uddin Ahmad, A Abdur Rahman Akib, Md. Mohsin Sarker Raihan, Abdullah Bin Shams
Read original paper ↗ ·Machine learning approaches for prediction of properties of natural fiber composites : Apriori algorithm
Australian Journal of Mechanical Engineering · 2022
R. Balasundaram, S. Sathiya, G. Sakthi Balan
Read original paper ↗ ·Electronic and optical properties of cubic bulk and ultrathin surface [001] slab of CsPbBr 3
Surfaces and Interfaces · 2022
Himanshu Joshi, Ram Kumar Thapa, A. Laref, Worasak Sukkabot, Lalrinthara Pachuau, Lalmuanpuia Vanchhawng, P. Grima, M Musa Saad H-E, P. Raics
Read original paper ↗ ·Perovskite synthesizability using graph neural networks
npj Computational Materials · 2022
Geun Ho Gu, Jidon Jang, Juhwan Noh, Aron Walsh, Yousung Jung
Read original paper ↗ ·The Development of New Perovskite-Type Oxygen Transport Membranes Using Machine Learning
Crystals · 2022
Hartmut Schlenz, Stefan Baumann, Wilhelm Albert Meulenberg, Olivier Guillon
Read original paper ↗ ·Predicting the formation of fractionally doped perovskite oxides by a function-confined machine learning method
Communications Materials · 2022
Ximei Zhai, Fei Ding, Zeyu Zhao, Aaron Santomauro, Feng Luo, Jianhua Tong
Read original paper ↗ ·Effects of data bias on machine-learning–based material discovery using experimental property data
Science and Technology of Advanced Materials Methods · 2022
Masaya Kumagai, Yuki Ando, Atsumi Tanaka, Koji Tsuda, Yukari Katsura, Ken Kurosaki
Read original paper ↗ ·Structural, elastic, electronic, optical and thermoelectric response of lead-free double perovskite Rb2TlInX6 (X=Cl, I) for energy storage devices: DFT+SOC investigations
Materials Science in Semiconductor Processing · 2022
Moeen Ud Din, Quratul Ain, Masood Yousaf, Junaid Munir
Read original paper ↗ ·Feature Fusion Deep Learning Model for Defects Prediction in Crystal Structures
Crystals · 2022
Abeer Abdulaziz AlArfaj, Hanan A. Hosni Mahmoud
Read original paper ↗ ·Topological feature engineering for machine learning based halide perovskite materials design
npj Computational Materials · 2022
D. Vijay Anand, Qiang Xu, JunJie Wee, Kelin Xia, Tze Chien Sum
Read original paper ↗ ·Accelerated innovation in developing high-performance metal halide perovskite solar cell using machine learning
International Journal of Modern Physics B · 2022
Anjan Kumar, Sangeeta Singh, Mustafa K. A. Mohammed, Dilip Kumar Sharma
Read original paper ↗ ·Mapping the Room-Temperature Dynamic Stabilities of Inorganic Halide Double Perovskites
Chemistry of Materials · 2022
Jack Yang, Jiaxin Fan, Sean Li
Read original paper ↗ ·Prediction of hydrogen storage in dibenzyltoluene empowered with machine learning
Journal of Energy Storage · 2022
Ahsan Ali, Muhammad Adnan Khan, Naseem Abbas, Hoimyung Choi
Read original paper ↗ ·Machine learned synthesizability predictions aided by density functional theory
Communications Materials · 2022
Andrew S. Lee, Suchismita Sarker, James E. Saal, Logan T. Ward, Christopher K. H. Borg, Apurva Mehta, Christopher Wolverton
Read original paper ↗ ·Hydrogen Storage Prediction in Dibenzyltoluene as Liquid Organic Hydrogen Carrier Empowered with Weighted Federated Machine Learning
Mathematics · 2022
Ahsan Ali, Muhammad Adnan Khan, Hoimyung Choi
Read original paper ↗ ·Insight into the electronic structure, magnetic, and thermoelectric properties of transition metal pnictides KCr2L2 (K= Ca, Sr; L = P, As): As substitute source for renewing energy
Physica B Condensed Matter · 2022
Zeshan Zada, Abdul Ahad Khan, A.H. Reshak, Irfan Ullah Khan, Shafqat Zada, Muhammad Ismail, Muhammad Fazal-ur-Rehman, Muhammad Saqib, Ghulam Murtaza, Qaisar Khan, Muhammad Mahyiddin Ramli
Read original paper ↗ ·A comprehensive DFT study to evaluate the modulation in the band gap, elastic, and optical behaviour of CsPbBr3 under the effect of stress
Materials Research Express · 2022
S. M. Junaid Zaidi, Muhammad Ijaz Khan, S.S.A. Gillani, Muhammad Sana Ullah Sahar, Sana Ullah, Muhammad Usama Tanveer
Read original paper ↗ ·Advances in Synthesis and Defect Properties of Halide Perovskite Nanocrystals: Experimental and Theoretical Perspectives
Composites science and technology · 2023
Bhawna Bhawna, Supriti Ghorui, Aftab Alam, M. Aslam
Read original paper ↗ ·First-principles calculations to investigate physical properties of orthorhombic perovskite YBO 3 (B = Ti & Fe) for high energy applications
RSC Advances · 2023
Ahmed Azzouz‐Rached, Ismail Ouadha, Mudasser Husain, H. Rached, Hamza Rekab-Djabri, Ali Bentouaf, Tariq Hadji, Nourreddine Sfina, Hind Albawali, Vineet Tirth, Mohammed A. Amin, Nasir Rahman
Read original paper ↗ ·Geometric and topological AI for molecular sciences
Venue not supplied by source · 2023
JunJie Wee
Read original paper ↗ ·Machine learning in energy chemistry: introduction, challenges and perspectives
Energy Advances · 2023
Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju
Read original paper ↗ ·Solar Cells and Relevant Machine Learning
Springer eBooks · 2023
Muhammad Abdul Basit, Muhammad Aanish Ali, Mamoona Yasmeen
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 ↗ ·Exploring the Evolution of Metal Halide Perovskites via Latent Representations of the Photoluminescent Spectra
Advanced Intelligent Systems · 2023
Sheryl L. Sanchez, Yongtao Liu, Jonghee Yang, Sergei V. Kalinin, Maxim A Ziatdinov, Mahshid Ahmadi
Read original paper ↗ ·Enhancing property prediction and process optimization in building materials through machine learning: A review
Computational Materials Science · 2023
Konstantinos Stergiou, Charis Ntakolia, Paris Varytis, Elias P. Koumoulos, Patrik Karlsson, Serafeim Moustakidis
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 ↗ ·Caesium manganese fluoride cubic-perovskite nanoparticles – synthesis, luminescence and magnetic properties
Journal of Sol-Gel Science and Technology · 2023
Madeleine Fellner, Alessandro Lauria
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 ↗ ·Machine learning for perovskite solar cell design
Computational Materials Science · 2023
Zhan Hui, Min Wang, Xiang Qian Yin, Yanan Wang, Yunliang Yue
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 ↗ ·Accelerated design of lead-free high-performance piezoelectric ceramics with high accuracy via machine learning
Journal of Advanced Ceramics · 2023
Wei Gu, Bin Yang, Dengfeng Li, Xunzhong Shang, Zhiyong Zhou, Jinming Guo
Read original paper ↗ ·DFT-based computational investigations of structural, mechanical, optoelectronics, and thermoelectric properties of InXF3 (X = Be and Sr) ternary fluoroperovskites compounds
Physica Scripta · 2023
Mudasser Husain, Nasir Rahman, Mohammad Sohail, Rajwali Khan, Tahir Zaman, Riadh Neffati, Ghulam Murtaza, Ahmed Azzouz‐Rached, Aurangzeb Khan
Read original paper ↗ ·AI for Nanomaterials Development in Clean Energy and Carbon Capture, Utilization and Storage (CCUS)
ACS Nano · 2023
Honghao Chen, Yingzhe Zheng, Jiali Li, Lanyu Li, Xiaonan Wang
Read original paper ↗ ·A state-of-the-art review on the utilization of machine learning in nanofluids, solar energy generation, and the prognosis of solar power
Engineering Analysis with Boundary Elements · 2023
Santosh Kumar Singh, Arun Kumar Tiwari, H. K. Paliwal
Read original paper ↗ ·SLI-GNN: A Self-Learning-Input Graph Neural Network for Predicting Crystal and Molecular Properties
The Journal of Physical Chemistry A · 2023
Zhihao Dong, Jie Feng, Youyong Li, Youyong Li
Read original paper ↗ ·The spin-polarized electronic and optical properties of novel Ba2TaXO6 (X = Co, Fe, In) for optoelectronic applications: An ab-initio study
Journal of Solid State Chemistry · 2023
Ahmad Ali, Muhammad Salman Khan, Gulzar Khan, Banat Gul, Ahmed Mohamed Tawfeek, Sikander Azam, Faheem Abbas, Syed Zulfiqar, Shaukat Ali Khattak, Tahirzeb Khan, Said Karim Shah
Read original paper ↗ ·First-principles investigations of the mechanically and thermodynamically stable potassium-based double perovskites K2TlAsX6 (X = Cl, Br) for optoelectronic and renewable applications
Materials Science and Engineering B · 2023
Junaid Munir, Inamul Mursaleen, Hamid M. Ghaithan, Quratul Ain, Abdullah Ahmed Ali Ahmed, Saif M. H. Qaid
Read original paper ↗ ·Computational Design of Antiperovskite Solid Electrolytes
The Journal of Physical Chemistry C · 2023
Ana C. C. Dutra, James Alexander Dawson
Read original paper ↗ ·Machine Learning in Perovskite Solar Cells: Recent Developments and Future Perspectives
Energy Technology · 2023
Nitin Kumar Bansal, Snehangshu Mishra, Himanshu Dixit, Shivam Porwal, Paulomi Singh, Trilok Singh
Read original paper ↗ ·An evolutionary variational autoencoder for perovskite discovery
Frontiers in Materials · 2023
Ericsson Tetteh Chenebuah, Michel Nganbe, Alain Tchagang
Read original paper ↗ ·Machine‐Learning Accelerating the Development of Perovskite Photovoltaics
Solar RRL · 2023
Tiantian Liu, Sen Wang, Yinguang Shi, Lei Wu, Ruiyu Zhu, Yong Wang, Jun Zhou, Wallace C. H. Choy
Read original paper ↗ ·A systemic study on Thallium based 3D halide perovskite with enhanced figure of merit
Physica Scripta · 2023
Y. Dhakshayani, G. Kalpana
Read original paper ↗ ·Absorber Layer Thickness as a New Feature in Statistical Learning Tools of Perovskite Solar Cells
Journal of Applied Research and Technology · 2023
Jeisson Emilio Velez Sanchez, Mónica Andrea Botero Londoño, Alexander Sepúlveda, C. A. Otálora, Cristian David Camacho Parra
Read original paper ↗ ·Accelerating the prediction of stable materials with machine learning
Nature Computational Science · 2023
Sean D. Griesemer, Yi Xia, Chris M. Wolverton
Read original paper ↗ ·Prediction of hydrogen generation from perhydro-dibenzyltoluene empowered with machine learning
International Journal of Hydrogen Energy · 2023
Ahsan Ali, Muhammad Adnan Khan, Hoimyung Choi
Read original paper ↗ ·Scope of machine learning in materials research—A review
Applied Surface Science Advances · 2023
Md Hosne Mobarak, Mariam Akter Mimona, Md. Aminul Islam, Nayem Hossain, Fatema Tuz Zohura, Ibnul Imtiaz, Md Israfil Hossain Rimon
Read original paper ↗ ·CuPBX 3 and AgPBX 3 Inorganic Perovskites for Solar Cell Applications
SSRN Electronic Journal · 2024
Taame Abraha Berhe, Meng‐Che Tsai, Wei-Nien Joe Su, Bing‐Joe Hwang
Read original paper ↗ ·High-entropy alloy screening for halide perovskites
Materials Horizons · 2024
Christopher P. Muzzillo, Cristian V. Ciobanu, David T. Moore
Read original paper ↗ ·Machine learning approaches for screening of materials in flexible electronic devices
Venue not supplied by source · 2024
Siyan Deng
Read original paper ↗ ·