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RESEARCH PAPER · Energy Materials · 2021

Automated machine learning structure-composition-property relationships of perovskite materials for energy conversion and storage

Deng Qin, Bin Lin

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27 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Automated machine learning structure-composition-property relationships of perovskite materials for energy conversion and storageOriginalReactant Concentration and Aging-Time-Regulated Potassium Manganese Hexacyanoferrate as a Superior Cathode for Sodium-Ion Batteries29Insights into Tuning of Mo‐Based Structures toward Enhanced Electrocatalytic Performance of Nitrogen‐to‐Ammonia Conversion11Accelerating perovskite materials discovery and correlated energy applications through artificial intelligence62Nonlinear Dynamic Model for Parameter Estimation of Li-Ion Batteries Using Supply–Demand Algorithm23Lithium Battery Model and Its Application to Parallel Charging7New Type Anode for Calcium Ion Batteries Based on Silicon Carbide Monolayer17Thermodynamic and kinetic limits of Li-ion battery operation12Predicting Capacity Fading Behaviors of Lithium Ion Batteries: An Electrochemical Protocol-Integrated Digital-Twin Solution7Thermal Propagation Modelling of Abnormal Heat Generation in Various Battery Cell Locations22Health State Estimation of On-Board Lithium-Ion Batteries Based on GMM-BID Model10Unmanned Electric Tugboat Formation Multi-Agent Energy-Aware Control System Concept6Exploring Machine Learning in Chemistry through the Classification of Spectra: An Undergraduate Project27An All-Vanadium Redox Flow Battery: A Comprehensive Equivalent Circuit Model12Perspective on machine learning based investigated materials to realize Stable-Efficient-Toxin free (S-E-T) perovskite solar cells7Economic Analysis of a Redox Flow Batteries-Based Energy Storage System for Energy Savings in Factory Energy Management System5Fractal Characterization of Microstructure of Materials and Correlation with Their Properties on the Basis of Digital Materials Science Concept2A novel intelligent system based on machine learning for hydrochar multi-target prediction from the hydrothermal carbonization of biomass40Enhancing performance of lower-temperature solid oxide fuel cell cathodes through surface engineering69Cutting-edge developments in perovskite solar cells: The role of dimensional and mixed-dimensional engineering5Machine learning prediction of materials properties from chemical composition: Status and prospects29Chemical space-property predictor model of perovskite materials by high-throughput synthesis and artificial neural networks8Perovskite in Triboelectric Nanogenerator and the Hybrid Energy Collection System16Machine learning-aided engineering of biochar from biomass pyrolysis and activation processes for enhanced CO2 adsorption8Machine learning-based optimization of sulfidation for heavy metal removal from wastewater5Machine Learning Unlocks New Directions in Halide Perovskite Research6Role of AI in Solar Cell Materials Research: A Review0Applications of Perovskite Materials in Energy Storage and Efficiency Systems3

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27 direct citing papers saved.

  1. Reactant Concentration and Aging-Time-Regulated Potassium Manganese Hexacyanoferrate as a Superior Cathode for Sodium-Ion Batteries

    ACS Applied Energy Materials · 2021-11-08

    Ying Li, Kwok Ho Lam, Xianhua Hou

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  2. Insights into Tuning of Mo‐Based Structures toward Enhanced Electrocatalytic Performance of Nitrogen‐to‐Ammonia Conversion

    Advanced Energy and Sustainability Research · 2021-12-19

    Guanyu Liu, Jiong Wang

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  3. Accelerating perovskite materials discovery and correlated energy applications through artificial intelligence

    Energy Materials · 2022-01-01

    Jiechun Liang, Tingting Wu2, Ziwei Wang, Yunduo Yu, Linfeng Hu, Huamei Li, Xiaohong Zhang, Xi Zhu, Yu Zhao

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  4. Nonlinear Dynamic Model for Parameter Estimation of Li-Ion Batteries Using Supply–Demand Algorithm

    Energies · 2022-06-22

    Ragab Abdelaziz El-Sehiemy, Mohamed Assaad Hamida, Ehab E. Elattar, Abdullah Mohammed Shaheen, Ahmed R. Ginidi

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  5. Lithium Battery Model and Its Application to Parallel Charging

    Energies · 2022-06-29

    Yueh-Tsung Shieh, Chih-Chiang Wu, Ching-Yao Liu, Wei-Hua Chieng, Yu‐Sheng Su, Shyr-Long Jeng, Edward Yi Chang

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  6. New Type Anode for Calcium Ion Batteries Based on Silicon Carbide Monolayer

    Silicon · 2022-07-23

    Mustafa Mohammed Kadhim, Ahmed Mahdi Rheima, Mohanad Hatem Shadhar, Shuaib M. Abdulnabi, Zuhra Muter Saleh, Zuhair I. Al Mashhadani, Zainab Mohsen Najm, A. Sarkar

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  7. Thermodynamic and kinetic limits of Li-ion battery operation

    Journal of Energy Storage · 2022-09-27

    Ewelina Rudnicka, Paweł Jakóbczyk, Andrzej Lewandowski

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  8. Predicting Capacity Fading Behaviors of Lithium Ion Batteries: An Electrochemical Protocol-Integrated Digital-Twin Solution

    Journal of The Electrochemical Society · 2022-09-28

    Hang Li, Jianxing Huang, Weijie Ji, Zheng He, Jun Jie Cheng, Peng Zhang, Jinbao Zhao

    Read original paper ↗ ·

  9. Thermal Propagation Modelling of Abnormal Heat Generation in Various Battery Cell Locations

    Batteries · 2022-11-04

    Ao Li, Anthony Chun Yin Yuen, Wei Wang, Jingwen Weng, Chun Sing Lai, Sanghoon Kook, Guan Heng Yeoh

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  10. Health State Estimation of On-Board Lithium-Ion Batteries Based on GMM-BID Model

    Sensors · 2022-12-08

    Shirui Feng, Anchen Wang, Jing Cai, Hongfu Zuo, Ying Zhang

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  11. Unmanned Electric Tugboat Formation Multi-Agent Energy-Aware Control System Concept

    Energies · 2022-12-17

    Wojciech Koznowski, Andrzej Łebkowski

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  12. Exploring Machine Learning in Chemistry through the Classification of Spectra: An Undergraduate Project

    Journal of Chemical Education · 2023-02-13

    Alanah Grant-St James, Luke Hand, Thomas Mills, Liwen Song, Annabel S. J. Eardley-Brunt, Patrick E. Bergstrom Mann, Andrew F. Worrall, Malcolm I. Stewart, Claire Vallance

    Read original paper ↗ ·

  13. An All-Vanadium Redox Flow Battery: A Comprehensive Equivalent Circuit Model

    Energies · 2023-02-18

    Muhammed Samil Yesilyurt, Hüseyin Ayhan Yavaşoğlu

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  14. Perspective on machine learning based investigated materials to realize Stable-Efficient-Toxin free (S-E-T) perovskite solar cells

    Materials Today Proceedings · 2023-05-01

    Vinitha B. Elza, V. Suresh Babu, Nelsa Abraham

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  15. Economic Analysis of a Redox Flow Batteries-Based Energy Storage System for Energy Savings in Factory Energy Management System

    Batteries · 2023-08-10

    Seon Hyeog Kim, Yoonmee Doh, Taewook Heo, Il Woo Lee

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  16. Fractal Characterization of Microstructure of Materials and Correlation with Their Properties on the Basis of Digital Materials Science Concept

    IntechOpen eBooks · 2023-09-01

    Maxim Maksimovich Sychov, Andrey G. Chekuryaev, S. V. Mjakin

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  17. A novel intelligent system based on machine learning for hydrochar multi-target prediction from the hydrothermal carbonization of biomass

    Biochar · 2024-03-01

    Weijin Zhang, Junhui Zhou, Qian Liu, Zhengyong Xu, Haoyi Peng, Lijian Leng, Hailong Li

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  18. Enhancing performance of lower-temperature solid oxide fuel cell cathodes through surface engineering

    Progress in Materials Science · 2024-08-12

    Halefom G. Desta, Gebrehiwot Gebreslassie, Jianjian Zhang, Bin Lin, Yun Zheng, Yun Hong Zheng

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  19. Cutting-edge developments in perovskite solar cells: The role of dimensional and mixed-dimensional engineering

    Journal of Alloys and Compounds · 2024-09-04

    Sikandar Aftab, Maria Mukhtar, Burragoni Sravanthi Goud, Fahmid Kabir, Hosameldin Helmy Hegazy, Jae‐Hong Kim

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  20. Machine learning prediction of materials properties from chemical composition: Status and prospects

    Chemical Physics Reviews · 2024-12-01

    Mohammed Alghadeer, Nufida D. Aisyah, Mahmoud Hezam, Saad M. Alqahtani, Ahmer A.B. Baloch, Fahhad H. Alharbi

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  21. Chemical space-property predictor model of perovskite materials by high-throughput synthesis and artificial neural networks

    Chem · 2024-12-06

    Md. Ataur Rahman, Md. Shahjahan, Yaqing Zhang, Rihan Wu, Elad Harel

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  22. Perovskite in Triboelectric Nanogenerator and the Hybrid Energy Collection System

    Materials · 2024-12-09

    Tong Li Wu, Zequan Zhao, Yin Lu, Hanzhang Yang, Xiaoning Liu, Xia Cao, Ning Wang

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  23. Machine learning-aided engineering of biochar from biomass pyrolysis and activation processes for enhanced CO2 adsorption

    Separation and Purification Technology · 2025-06-05

    Zejian Ai, Chengkai Cao, Weijin Zhang, Zhengyong Xu, Jianbing Cao, Haoyi Peng, Lijian Leng, Hailong Li

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  24. Machine learning-based optimization of sulfidation for heavy metal removal from wastewater

    Chemical Engineering Science · 2025-08-09

    Chunxue Li, Meiqing Shi, Yong Ke, Qingzhu Li, Qingwei Wang, Yan Xu

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  25. Machine Learning Unlocks New Directions in Halide Perovskite Research

    ChemElectroChem · 2025-12-10

    Hyejin Choe, Heesung Yoon, Inhyang Kim, Soo Young Kim

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  26. Role of AI in Solar Cell Materials Research: A Review

    International Conference on Automation, Computing and Renewable Systems (ICACRS) · 2025-12-10

    Chethana K, Baishali Garai

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  27. Applications of Perovskite Materials in Energy Storage and Efficiency Systems

    Engineering materials · 2026-01-01

    Rashi Nathawat, Sanjay Kumar, Satyapal S. Rathore

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