Papers citing Machine learning for halide perovskite materials
Nanostructured and Heterostructured 2D Materials for Thermoelectrics
Engineered Science · 2020
Qinyi Li, Qing Hao, Tianhui Zhu, Mona Zebarjadi, Mona Zebarjadi
Read original paper ↗ ·Accelerated discovery of stable spinels in energy systems via machine learning
Nano Energy · 2020
Zhilong Wang, Haikuo Zhang, Jinjin Li
Read original paper ↗ ·Chemical formula input relied intelligent identification of an inorganic perovskite for solar thermochemical hydrogen production
Inorganic Chemistry Frontiers · 2021
Mingkai Fu, Lei Wang, Tianzeng Ma, Jiani Wu, Shaomeng Dai, Zheshao Chang, Qiangqiang Zhang, Huajun Xu, Xin Li
Read original paper ↗ ·Machine Learning Accelerated Insights of Perovskite Materials
Springer series in materials science · 2021
Shuaihua Lu, Yilei Wu, Ming‐Gang Ju, Jinlan Wang
Read original paper ↗ ·Machine learning for advanced energy materials
Energy and AI · 2021
Liu Yun, Oladapo Christopher Esan, Zhefei Pan, Liang An
Read original paper ↗ ·A machine learning based optimization method towards removing undesired deformation of energy-absorbing structures
Structural and Multidisciplinary Optimization · 2021
Zhixiang Li, Wen Ma, Shuguang Yao, Ping Xu, Lin Hou, Gongxun Deng
Read original paper ↗ ·Cosensitization-based halide perovskite in aqueous solution: A photoelectrochemical and first-principles investigation
Materials Research Bulletin · 2021
Lei Zhang, Shuai Lin
Read original paper ↗ ·Global Property Prediction: A Benchmark Study on Open-Source, Perovskite-like Datasets
ACS Omega · 2021
Felix Mayr, Alessio Gagliardi
Read original paper ↗ ·Machine learning and symbolic regression investigation on stability of MXene materials
Computational Materials Science · 2021
Mu He, Lei Zhang
Read original paper ↗ ·Studies on the regularity of perovskite formation via machine learning
Computational Materials Science · 2021
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
Nishi Parikh, Meera R. Karamta, Neha Yadav, Mohammad Mahdi Tavakoli, Daniel Prochowicz, Seçkin Akın, Abul Kalam, Soumitra Satapathi, Pankaj Yadav
Read original paper ↗ ·Machine Learning for Sustainable Energy Systems
Annual Review of Environment and Resources · 2021
Priya L. Donti, J. Zico Kolter
Read original paper ↗ ·Relationships between Distortions of Inorganic Framework and Band Gap of Layered Hybrid Halide Perovskites
Chemistry of Materials · 2021
Ekaterina I. Marchenko, Vadim Korolev, Sergey A. Fateev, Artem A. Mitrofanov, Nikolay N. Eremin, Eugene Alekseevich Goodilin, Alexey B. Tarasov
Read original paper ↗ ·Machine Learning Accelerates the Discovery of Light-Absorbing Materials for Double Perovskite Solar Cells
The Journal of Physical Chemistry C · 2021
Zhenqing Yang, Yanbing Liu, Yun‐Qian Zhang, Liqun Wang, Chundan Lin, Yuzhuo Lv, Yuhang Ma, Changjin Shao
Read original paper ↗ ·Machine learning stability and band gap of lead-free halide double perovskite materials for perovskite solar cells
Solar Energy · 2021
Zongmei Guo, Bin Lin
Read original paper ↗ ·Moisture-stimulated reversible thermochromic CsPbI3-xBrx films: In-situ spectroscopic-resolved structure and optical properties
Applied Surface Science · 2021
Long Yuan, Meng Yuan, Hongda Xu, Changmin Hou, Xiangdong Meng
Read original paper ↗ ·Bismuth-based halide perovskite and perovskite-inspired light absorbing materials for photovoltaics
Journal of Physics D Applied Physics · 2021
Feray Ünlü, Meenal S. Deo, Sanjay Mathur, Thomas Kirchartz, Ashish Kulkarni
Read original paper ↗ ·A General View of Big Data and Machine Learning
Accounting, finance, sustainability, governance & fraud · 2021
Özhan Görçün, Hande Küçükönder
Read original paper ↗ ·A machine vision tool for facilitating the optimization of large-area perovskite photovoltaics
npj Computational Materials · 2021
Nina Taherimakhsousi, Mathilde Fievez, Benjamin P. MacLeod, Edward P. Booker, Emmanuelle Fayard, Muriel Matheron, Matthieu Manceau, Stéphane Cros, Solenn Berson, Curtis P. Berlinguette
Read original paper ↗ ·Prediction of solar cell materials via unsupervised literature learning
Journal of Physics Condensed Matter · 2021
Lei Zhang, Mu He
Read original paper ↗ ·Accelerated discovery of defect tolerant organo-halide perovskites
Journal of Materials Chemistry C · 2022
N. Işleyen, Ayşenur Corcor, S. Çakirefe, N. Ormanli, E. N. Kanat, İlhan Yavuz
Read original paper ↗ ·Intelligent control of nanoparticle synthesis through machine learning
Nanoscale · 2022
Honglin Lv, Xueye Chen
Read original paper ↗ ·Prediction of Wind Load Power Spectrum on High-Rise Buildings by Machine Learning Based Algorithms
Computer Science and Application · 2022
慧真 李
Read original paper ↗ ·Efficiency and Stability Analysis of 2D/3D Perovskite Solar Cells Using Machine Learning
Energy Technology · 2022
Beyza Yılmaz, Çağla Odabaşı, Ramazan Yıldırım
Read original paper ↗ ·Determination of the fatigue equation for the cement-stabilized cold recycled mixtures with road construction waste materials based on data-driven
International Journal of Fatigue · 2022
Jiaolong Ren, Lin Zhang, Hongbo Zhao, Zedong Zhao, Siyuan Wang
Read original paper ↗ ·Bond length alternation- and data mining-assisted exploration of molecular adsorbates with π-conjugation and amines for two-dimensional halide perovskite surface
Structural Chemistry · 2022
Lei Zhang, Chao Xu, Wenguang Hu
Read original paper ↗ ·Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm
Renewable and Sustainable Energy Reviews · 2022
Tanveer Ahmad, Rafał Madoński, Dongdong Zhang, Chao Huang, Asad Mujeeb
Read original paper ↗ ·Interpretable Machine Learning for Investigating Photoelectrochemical Properties of Cosensitizer-Based CH3NH3PbI3/TiO2 Films in Water
The Journal of Physical Chemistry C · 2022
Lei Zhang, Wenguang Hu, Mu He, Kun Xu, Zhengwei Pan
Read original paper ↗ ·Strategies for high‐performance perovskite solar cells from materials, film engineering to carrier dynamics and photon management
InfoMat · 2022
Huilin Li, Chong Chen, Hangyu Hu, Yu Li, Zhitao Shen, Fumin Li, Ying Liu, Rong Liu, Junwei Chen, Chao Dong, Sally Mabrouk, Raja Sekhar Bobba, Abiral Baniya, Mingtai Wang, Qiquan Qiao
Read original paper ↗ ·Electron transfer dominated triboelectrification at the hydrophobic/slippery substrate—water interfaces
Friction · 2022
Yi Chen, Xiaojuan Li, Chenggong Xu, Daoai Wang, Jinxia Huang, Zhiguang Guo, Weimin Liu
Read original paper ↗ ·Analysis of structural, elastic and optoelectronic properties of indium-based halide perovskites InACl3 (A = Ge, Sn, Pb) using density functional theory
Materials Science in Semiconductor Processing · 2022
Sajid Ullah Khan, Nasir Mehmood, Rashid Ahmad, Asma Kalsoom, Khalid Hameed
Read original paper ↗ ·The effects of organic cation rotation in hybrid Organic-Inorganic Perovskites: A critical review
Materials & Design · 2022
Siyu Liu, Ruiqian Guo, Fengxian Xie
Read original paper ↗ ·Deep Learning for Materials Recognition from FTIR Images
Journal of Research in Science and Engineering · 2022
Read original paper ↗ ·Intelligent control of nanoparticle synthesis on microfluidic chips with machine learning
NPG Asia Materials · 2022
Xueye Chen, Honglin Lv
Read original paper ↗ ·Machine‐Learning Modeling for Ultra‐Stable High‐Efficiency Perovskite Solar Cells
Advanced Energy Materials · 2022
Yingjie Hu, Xiaobing Hu, Lu Zhang, Tao Zheng, Jiaxue You, Binxia Jia, Yabin Ma, Xinyi Du, Lei Zhang, Jincheng Wang, Bo Che, Tao Chen, Shengzhong Frank Liu
Read original paper ↗ ·Recent Developments in Process Digitalisation for Advanced Nanomaterial Syntheses
Chemistry - Methods · 2022
Diego Iglesias, Dina A Haddad, Víctor Sans
Read original paper ↗ ·Red Perovskite Light‐Emitting Diodes: Recent Advances and Perspectives
Laser & Photonics Review · 2022
Yi Yu, Yingyi Tang, Bingfeng Wang, Kai Zhang, Jianxin Tang, Yanqing Li
Read original paper ↗ ·Investigation of photovoltaic performance of lead-free CsSnI3-based perovskite solar cell with different hole transport layers: First Principle Calculations and SCAPS-1D Analysis
Solar Energy · 2022
Babban Kumar Ravidas, Mukesh Kumar Roy, Dip Prakash Samajdar
Read original paper ↗ ·Crystal structural prediction of perovskite materials using machine learning: A comparative study
Solid State Communications · 2022
Rojalina Priyadarshini, Hillol Joardar, Sukant Kishoro Bisoy, Tanmaya Badapanda
Read original paper ↗ ·A domain knowledge enhanced machine learning method to predict the properties of halide double perovskite A 2 B + B 3+ X 6
Journal of Materials Chemistry A · 2023
Xiao Wei, Yunong Zhang, Xi Liu, Junjie Peng, Shengzhou Li, Renchao Che, Huiran Zhang
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 ↗ ·Perovskite-Based Materials for Photovoltaic Applications: A Machine Learning Approach
Springer eBooks · 2023
Ramandeep Kaur, Rajan Saini, Janpreet Singh
Read original paper ↗ ·Perovskite-quantum dot hybrid solar cells: a multi-win strategy for high performance and stability
Journal of Materials Chemistry A · 2023
Ke Huang, Junlong Liu, Jianjuan Yuan, Wenchao Zhao, Kui Zhao, Zhihua Zhou
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 ↗ ·High-throughput calculation and machine learning of two-dimensional halide perovskite materials: Formation energy and band gap
Materials Today Communications · 2023
Wenguang Hu, Lei Zhang
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 ↗ ·Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
Archives of Computational Methods in Engineering · 2023
Dimitrios Angelis, Filippos D. Sofos, Theodoros E. Karakasidis
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 ↗ ·First-principles and machine learning modeling on adsorption of atmospheric gases on two-dimensional Ruddlesden–Popper halide perovskite surface
Modelling and Simulation in Materials Science and Engineering · 2023
Lei Zhang, Shenyue Li, Wenguang Hu
Read original paper ↗ ·Electrochemical direct CO2 capture technology using redox-active organic molecules to achieve carbon-neutrality
Nano Energy · 2023
Gwan Hyun Choi, Hyun Jun Song, S. K. Lee, Jeongyun Kim, Myoung‐Woon Moon, Pil Jin Yoo
Read original paper ↗ ·