Papers citing Accelerated Search for BaTiO3‐Based Ceramics with Large Energy Storage at Low Fields Using Machine Learning and Experimental Design
Recent progress on machine learning with limited materials data: Using tools from data science and domain knowledge
Journal of Materiomics · 2024-07-26
Bangtan Zong, Jinshan Li, Tinghuan Yuan, Jun Wang, Ruihao Yuan
Read original paper ↗ ·Review of the opportunities and limitations for powder-based high-throughput solid-state processing of advanced functional ceramics
Journal of the European Ceramic Society · 2024-07-27
Kyle Grant Webber, Oliver Clemens, Vincenzo Buscaglia, Barbara Malič, Rajendra Kumar Bordia, Tobias Fey, Udo R. Eckstein
Read original paper ↗ ·Unsupervised learning-aided extrapolation for accelerated design of superalloys
npj Computational Materials · 2024-08-04
Weijie Liao, Ruihao Yuan, Xiangyi Xue, Jun Wang, Jinshan Li, Turab Lookman
Read original paper ↗ ·Enhancing energy storage performance in barium titanate ceramics through mg-doping via creation of defect dipoles engineering
Journal of the Australian Ceramic Society · 2024-09-04
Mahmoud S. Alkathy, Yalambaku Rajesh, H. A. Kassim, Mansour Khalil Gatasheh, Fábio L. Zabotto, K. C. James Raju, J. A. Eiras
Read original paper ↗ ·Prediction of thermal conductivity of paraffin-expanded graphite composite phase change materials by machine learning method
Journal of Energy Storage · 2024-09-24
Y. Qu, Shida Sun, Dan Zhou
Read original paper ↗ ·Machine learning assisted innovative strategy for experimental validation of functional properties of lead-free ceramics
Materials Chemistry and Physics · 2024-10-04
Srujan Sapkal, Balasubramanian Kandasubramanian, Himanshu Sekhar Panda
Read original paper ↗ ·Machine-Learning-Driven Predictive 3D Ramified Foam Fabrication and Mechanistic Understanding
Chemistry of Materials · 2024-11-04
Yifei Liu, Donglei Fan
Read original paper ↗ ·Machine learning-assisted design of CaBi2Nb2O9-based ceramics with high piezoelectricity and thermal stability
Ceramics International · 2024-11-27
Ailin Li, Chengwen Bin, Xu Hou, Luocheng Liao, Yunya Liu, Bo Wang, Jie Wang
Read original paper ↗ ·Accelerated design of AgNbO 3 -based ceramics with high energy storage performance via machine learning
Journal of Materials Chemistry C · 2025-01-01
Li Ma, Fei Han, Ruoxuan Che, Meng Liu, Zhenyong Cen, Xiyong Chen, Toyohisa Fujita, Yang Bai, Nengneng Luo
Read original paper ↗ ·AI4Materials: Transforming the landscape of materials science and enigneering
Review of Materials Research · 2025-01-01
Xue Feng Jiang, Dezhen Xue, Yang Bai, William Yi Wang, Jianjun Liu, Mingli Yang, Yanjing Su
Read original paper ↗ ·Cuckoo Search-Deep Neural Network Hybrid Model for Uncertainty Quantification and Optimization of Dielectric Energy Storage in Na1/2Bi1/2TiO3-Based Ceramic Capacitors
Computers, materials & continua/Computers, materials & continua (Print) · 2025-01-01
Shige Wang, Yalong Liang, Lian Huang, Pei Li
Read original paper ↗ ·Interpretable and uncertainty-informed machine learning to accelerate the design and discovery of lead-free piezoceramics with large piezoelectric constant
Journal of Materials Chemistry C · 2025-01-01
Heng Hu, Bin Wang, Didi Zhang, Kang Yan, Tao Tan, Dawei Wu
Read original paper ↗ ·Predicting thermodynamic stability of inorganic compounds using ensemble machine learning based on electron configuration
Nature Communications · 2025-01-02
Hao Lin Zou, Haochen Zhao, Mingming Lu, Jiong Wang, Jiong Wang, Zeyu Deng, Jianxin Wang, Jianxin Wang
Read original paper ↗ ·Discovering novel lead-free solder alloy by multi-objective Bayesian active learning with experimental uncertainty
npj Computational Materials · 2025-01-10
Qinghua Wei, Yuanhao Wang, Yang Guo, Tianyuan Li, Shuting Yu, Ziqiang Dong, Tong‐Yi Zhang
Read original paper ↗ ·Construction of material phase diagram using different uncertainty estimation strategies
Materials Letters · 2025-01-14
Pei Liu, Hongyao Yu, Hailong Qin, Bin Shi Xu, Yixin Cheng, Jinli Xie, Haiyou Huang, Zhongnan Bi
Read original paper ↗ ·Enhanced energy storage in relaxor (1-x)Bi0.5Na0.5TiO3-xBaZryTi1-yO3 thin films by morphotropic phase boundary engineering
Communications Materials · 2025-01-14
Herbert Kobald, Alexander M. Kobald, Ivana Panžić, Marco Deluca
Read original paper ↗ ·Machine learning-enabled design of ferroelectrics with multiple properties via a Landau model
Acta Materialia · 2025-01-25
Ruihao Yuan, Bo Wang, Jinshan Li, Peng Sun, Zhen Liu, Xiangdong Ding, Dezhen Xue, Turab Lookman
Read original paper ↗ ·Machine learning assisted composition design of high-entropy Pb-free relaxors with giant energy-storage
Nature Communications · 2025-02-01
Xingcheng Wang, Ji Zhang, Xiaohan Ma, Huajie Luo, Laijun Liu, Hui Liu, Jun Chen
Read original paper ↗ ·Weakly‐coupled barium titanate stannate‐based relaxors as energy storage materials
Journal of the American Ceramic Society · 2025-02-06
Eva Kröll, Lara Devecioglu, Andrei N. Salak, Lukas Piotrowsky, Vladimir V. Shvartsman, Doru Constantin Lupascu
Read original paper ↗ ·Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO3–BiMeO3 Ceramics
ACS Sustainable Chemistry & Engineering · 2025-02-17
Jian Liu, Peifeng Xiong, Changjiao Li, Hua Hao, Hanxing Liu
Read original paper ↗ ·Unveiling the Origin of Ultrahigh Piezoelectricity in Sb Doped KNN Based Piezoceramics
Advanced Functional Materials · 2025-02-18
Jinzhu Zou, Tongxin Wei, Miao Song, Shangren Zeng, Kechao Zhou, Yan Zhang, Shujun J. Zhang, Dou Zhang
Read original paper ↗ ·Machine learning accelerates composition design of lead-free high performance piezoceramics based on potassium sodium niobate
Physical review. B./Physical review. B · 2025-04-11
Xiaohan Ma, Shiqing Deng, He Qi, Jun Chen
Read original paper ↗ ·Ultra-high strain under low driving field via synergetic design in high-entropy relaxor ceramics
Acta Materialia · 2025-04-17
Mikhail V. Talanov, Alexei A. Bokov, I. N. Zakharchenko, Мараховский Михаил Алексеевич
Read original paper ↗ ·Machine Learning Enhanced Self‐Charging Power Sources
Advanced Functional Materials · 2025-05-05
Rui Gu, Wei Ping Liang, Nuo Xu, Yao Xiong, Qijun Sun, Zhong Lin Wang
Read original paper ↗ ·Interpretable Machine Learning Applications: A Promising Prospect of AI for Materials
Advanced Functional Materials · 2025-05-13
Xue Feng Jiang, Huadong Fu, Yang Bai, Lei Jiang, Hongtao Zhang, Weiren Wang, Peiwen Yun, Jingjin He, Dezhen Xue, Turab Lookman, Yanjing Su, Jianxin Xie
Read original paper ↗ ·Designing Pb-Free High-Entropy Relaxor Ferroelectrics with Machine Learning Assistance for High Energy Storage
Journal of the American Chemical Society · 2025-07-23
Banghua Zhu, Xingcheng Wang, Ji Zhang, Huajie Luo, Laijun Liu, Jöerg C. Neuefeind, Hui Liu, Jun Chen
Read original paper ↗ ·Machine learning assisted electrocaloric and pyroelectric performance of Ba0.85Ca0.15Ti0.9Zr0.1O3 ceramic for solid state refrigeration
Ceramics International · 2025-08-29
Manoj Nayak, Barun Haldar, Hillol Joardar, Tanmaya Badapanda, Subhashree Sahoo, Nashmi Hassan Alrasheedi, Ahmed A. Abdala
Read original paper ↗ ·Machine Learning‐Driven Ultra‐High Energy Storage Performance in Ferro‐Superparaelectric Capacitors
Advanced Functional Materials · 2025-09-02
Zixiong Sun, Liming Diwu, Ruyue Gao, Peiyao Sun, Hongmei Jing, Sizhao Huang, Ye F. Tian, Zhuo Wang, Li Jin, Daniel Qi Tan
Read original paper ↗ ·AI‐Driven Advances in Sustainable Materials for Green Energy: From Innovation to Lifecycle Management
SusMat · 2025-09-03
Yuehui Xian, Cheng Li, Yangyang Xu, Yumei Zhou, Dezhen Xue
Read original paper ↗ ·Sustainable Materials for Energy
Nanomaterials · 2025-09-10
Filippo Agresti, Giuliano Angella, Humaira Arshad, Simona Barison, Davide Barreca, Paola Bassani, Simone Battiston, Carlo Alberto Biffi, María Teresa Buscaglia, Giovanna Canu, Francesca Cirisano, Silvia Maria Deambrosis, Angelica Fasan, Stefano Fasolin, Monica Favaro, Michele Ferrari, S. Fiameni, Jacopo Fiocchi, Marco Fortunato, Donatella Giuranno, Parnian Govahi, Jacopo Isopi, Francesco Montagner, Cecilia Mortalò, Enrico Miorin, Rada Novakovic, Luca Pezzato, Daniela Treska, Ausonio Tuissi, Barbara Vercelli, Francesca Villa, Francesca Visentin, Valentina Zin, María Losurdo
Read original paper ↗ ·Optimized energy storage performance in HZO3ZO12 thin films through modulation of deposition temperature and film thickness
Materialia · 2025-09-27
Chengfeng Jiang, Jinwang Sun, Haiyan Chen, Lei Liu, Chuanchang Li, Dou Zhang
Read original paper ↗ ·Modeling of ferroelectric properties of KNN-based ceramics
Modern Electronic Materials · 2025-10-10
Tatiana S. Ilina, Sofia V. Torianik, Dmitrii S. Zakhidov, Evgeniya L. Buryanskaya, Anatoly V. Pavlenko, Ekaterina V. Barabanova
Read original paper ↗ ·Data-driven and machine learning-assisted research on ferroelectric materials
Acta Physica Sinica · 2026-01-01
Changrui Wang, Jian Xin Zhou, Zhimei Sun
Read original paper ↗ ·Exploring quantum active learning for materials design and discovery
Physical Chemistry Chemical Physics · 2026-01-01
Maicon Pierre Lourenço, Hadi Zadeh‐Haghighi, Jiří Hostaš, Mosayeb Naseri, Daya Ram Gaur, Christoph Simon, Dennis Russell Salahub
Read original paper ↗ ·Interpretable machine learning-assisted discovery of BaTiO 3 -based ceramics with enhanced dielectric constant
Journal of Materials Chemistry C · 2026-01-01
J X Liu, Hua Hao, Xingzhong Liu, Jiahao Tian, Bangzhi Peng, Chunze Wei, Jinglong Fan, Hanxing Liu
Read original paper ↗ ·Uncertainty estimation affects predictor selection and its calibration improves materials optimization
Journal of Materials Informatics · 2026-01-14
Yuan Jiang, Jinshan Li, Tinghuan Yuan, Jun Wang, Bin Tang, Xinping Mao, Gang Li, Ruihao Yuan
Read original paper ↗ ·Machine-learning-accelerated design of superparaelectric capacitors for ultrahigh energy storage
Journal of Energy Storage · 2026-01-30
Hua Wang, Zhiguo Wen, Dunmin Lin
Read original paper ↗ ·Machine-learning for capacitive energy storage polymer dielectrics: opportunities and challenges
Progress in Materials Science · 2026-02-12
Minzheng Yang, Chaofan Wan, Runlin Liu, Junshang Zhang, Zhonghui Shen, Ce‐Wen Nan, Yang Shen
Read original paper ↗ ·Machine learning-driven BaTiO 3 -based high-entropy ceramics with ultrahigh energy storage density from crossover region
Journal of Advanced Ceramics · 2026-03-03
Haowen Liu, Xiaoyan Zhang, Zhiyuan Ma, Kailong Ma, Xiwei Qi
Read original paper ↗ ·Machine Learning‐Assisted Design of BaTiO 3 ‐Based Superparaelectric High‐Entropy Ceramics with Superior Energy Storage
Energy & environment materials · 2026-03-10
Haowen Liu, Xiaoyan Zhang, Zhiyuan Ma, Kailong Ma, Xiwei Qi
Read original paper ↗ ·Active learning in latent spaces enables rapid inverse design of ferroelectric ceramics for energy storage
Nature Communications · 2026-03-20
Zhaochen Xi, Zhentao Wang, Changqing Guo, Ke Xu, Weichen Zhao, Zhengqiao Li, Jian Bao, Haowei Zhou, Cong Zou, Houbing Huang, Di Zhou
Read original paper ↗ ·Artificial intelligence-driven methods for energy storage innovation and intelligent management
Journal of Energy Storage · 2026-03-24
Tianping Zhang, Xingyue Xie, Xingyue Xie, Xingchen Xie, Xingchen Xie, Xiuyu Xie, Xiuyu Xie, Meizhen Luo
Read original paper ↗ ·Establishing a Trustworthy Discovery Workflow for High-Entropy BNT Ceramics via SHAP-Interpretable Machine Learning
Unknown journal · 2026-03-27
Kunyuan Han, Ziqi Ni, Kaijia Hu, Shiyu Lang, Xingyu Chen, Yicong Ye
Read original paper ↗ ·Data-driven approaches for functional ceramics
Materials Science and Engineering R Reports · 2026-04-01
Jincheng Qin, Faqiang Zhang, Mingsheng Ma, Yongxiang Li, Zhifu Liu
Read original paper ↗ ·Atomic‐Scale Intermediate Polarization States Enable Superb Energy Storage in NaNbO 3 Ceramics via Machine Learning
Advanced Functional Materials · 2026-04-29
Ya Yang, Hongyu Yang, Peng Wang, Cui Yawen, Jiarong Lv, D.Y. Lin, J J Liu, Tengfei Hu, Genshui Wang, Huajie Luo, Weiwei Li, Zhongbin Pan
Read original paper ↗ ·La3+ doping-induced superparaelectric state for superior energy storage in Bi0.5Na0.5TiO3-Based ceramics under medium electric fields
Ceramics International · 2026-06-01
Haowen Liu, Xiaoyan Zhang, S Wang, Z H Ma, Xiwei Qi
Read original paper ↗ ·Ferroelectric tunable dielectric Materials: Response mechanisms and applications
Materials Today · 2026-06-17
Ruitao Li, Diming Xu, Chao Du, Zhaochen Xi, Zongquan Gu, John Wang, Di Zhou
Read original paper ↗ ·Uncertainty-aware multi-source modeling for materials property prediction: A case study in ferroelectrics
Physical Review Materials · 2026-07-29
Bo Wang, Yuehui Xian, Yumei Zhou, Dezhen Xue, Yangyang Xu
Read original paper ↗ ·Site-selective Ca2+ doping in BaTiO3: Defect chemistry, phase stability, functional response, and machine-learning-assisted design
Emergent Materials · 2026-09-23
Raz Muhammad, Asif Ali
Read original paper ↗ ·