Papers citing Accelerated discovery of high-performance piezocatalyst in BaTiO3-based ceramics via machine learning
Discovery of perovskite oxides with different thermal conductivities on demand by interpretable machine learning
International Communications in Heat and Mass Transfer · 2025-05-09
Zhijian He, Chihou Lei, Dongliang Shan, Zhanpeng Zhang, Hongyi Luo, Shuhong Xie, Yunya Liu
Read original paper ↗ ·Efficient piezoelectric catalysis of micron-sized lead-free perovskites: Direct correlation between catalytic properties and piezoelectric constants
Journal of Alloys and Compounds · 2025-05-26
Zhenya Wang, Weiping Gong, Jianting Li, Fang Cao, Ruqing Yan, Shuai Li, Yaodong Yang, Yang Bai, Wei-Feng Rao
Read original paper ↗ ·Prediction of ABX3 Perovskite Formation Energy Using Machine Learning
Materials · 2025-06-20
Ziliang Deng, Kailing Fang, Chong Guo, Zhichao Gong, Haojie Yue, Huacheng Zhang, Kang Li, Kun Guo, Zhiyong Liu, Bing Xie, Jinshan Lu, Kui Yao, Francis E. H. Tay
Read original paper ↗ ·Machine learning-assisted ZnO-doped photocatalytic degradation of rhodamine B: Prediction, analysis, and optimization
Environmental Technology & Innovation · 2025-08-05
Kang Xu, Bin Pan, Huijia Lu, Xiaorong Wang, Xuan Zhang, Miao Xie, Jingxian Yu
Read original paper ↗ ·Knowledge discovery and performance-energy optimization in heterogeneous catalytic ozonation via adaptive multi-task learning
Water Research · 2025-08-18
Wei Zhuang, Wei Zhuang, Qianqian Luo, Qingyang Jiang, Songhang Du, Xinwei Li, Jun Ma, Xiao Yun Zhao, Minghao Sui, Minghao Sui
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 ↗ ·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 ↗ ·Interpretable Machine Learning for the Design of (K, Na)NbO 3 -Based Piezoceramics Using Combinatorial and Knowledge-Embedded Descriptors
ACS Applied Materials & Interfaces · 2025-10-14
Heng Hu, Bin Wang, Didi Zhang, Kang Yan, Tao Tan, Dawei Wu
Read original paper ↗ ·Progress in chiral organic ferroelectrics
Chemical Communications · 2025-11-26
Yipeng Zang, Bolin Feng, Xiaoqing Gao
Read original paper ↗ ·Significantly enhanced piezo-catalytic performance of BaTiO3 nanorods via La-ion doping
Ceramics International · 2025-12-04
Zhi Liu, Tu Zhou, Mujia Feng, Yinuo Wang, Huajun Sun, Xiaofang Liu
Read original paper ↗ ·Structure-driven prediction and mechanism insights into piezoelectric performance of potassium sodium niobate via interpretable machine learning
Computational Materials Science · 2025-12-05
Hui Li, WenKe Lu, Chunlei Li, Jinyi Liu, Zihui Feng, Jiaming Liu, Lan Yang
Read original paper ↗ ·Machine learning-driven prognostication of multifunctional properties of (K,Na)NbO3-based lead-free ceramics for optimized materials design
Computational Materials Science · 2025-12-13
Manisha Kumari, Alok Shukla
Read original paper ↗ ·Accelerating Ceramic Materials Development via Machine Learning: A Critical Review
International Journal of Scientific Research and Modern Technology. · 2025-12-15
Md Amirul Islam, Razaul Islam, Umme Saima Borsha
Read original paper ↗ ·Machine Learning-assisted Design of High-temperature BSPT-based Piezoelectric Ceramics with Enhanced Dual Properties
Journal of Inorganic Materials · 2026-01-01
Zhiping Zuo, Chun GUO, Zhiyong ZHOU
Read original paper ↗ ·Modeling, Simulation, and Experimental Evaluation of Underwater Ultrasonic Energy Harvesting and Transmission Using Piezoelectric Transducers
Advanced Theory and Simulations · 2026-01-01
Nahid Al Mahmud, Tao Zhang, Farhana Bari Sumona, Taufiqul Bari Tuhin, Yanzhang Geng
Read original paper ↗ ·Polarization-field-modulated electrocatalysis and photoelectrocatalysis
Journal of Materials Chemistry A · 2026-01-01
Xingliang Xu, Liang Xu, Isao Watanabe, Miaogen Chen, Xiaoli Xu, Lingbo Xiao, Xing’ao Li, Yanmin Jia
Read original paper ↗ ·Uncertainty-Aware Multi-Target Learning for Electrical and Dielectric Property Prediction of MgCuZn Ferrites
Procedia Computer Science · 2026-01-01
Sushil Krishnan, J Anuradha, Madhuri W
Read original paper ↗ ·Polarization-driven piezocatalysis and mechanical criteria in ferroelectric materials: From conventional selection to AI-guided design
Journal of environmental chemical engineering · 2026-02-08
Fanbing Yan, Abeer Abdulaziz Alsanad, Guangri Chen, Lianwei Shan, Abdul Khader Jilani Saudagar, Jagadeesh Suriyaprakash
Read original paper ↗ ·Machine learning and first-principles guided design of BaTiO3-based materials for capacitor applications
Journal of Applied Physics · 2026-02-11
Chong Guo, Kailing Fang, Haojie Yue, Kun Guo, Ziliang Deng, Zhichao Gong, Kang Li, Huacheng Zhang, Zhiyong Liu, Bing Xie, Pu Mao, Chee Kiang Ivan Tan, Kui Yao, Francis E. H. Tay
Read original paper ↗ ·Integrated machine learning and density functional theory to design C₃N₅ piezo-catalysts toward precise control of selective reactive oxygen species and efficient water purification
Journal of Hazardous Materials · 2026-02-12
Ting Li, Xianhu Long, Wei Liu, Fan Huang, Huinan Zhao, Tao Zhong, Jingyun Fang, Chun Lin He
Read original paper ↗ ·Photocatalysis under external fields: Opportunities and challenges
Materials Science and Engineering R Reports · 2026-02-18
Ruijing Zhang, Teng Liang, Shuang Xu, Jinpeng Zhang, Heng Rao, Jun‐Sheng Qin, Jingrun Ran, Ping She
Read original paper ↗ ·Recent advances in flexible piezoelectric composite thin films: Material innovations and performance optimization
Applied Physics Reviews · 2026-02-27
Hailin Wang, Suzhu Yu, Jun Qi Wei
Read original paper ↗ ·Accelerated Discovery of Multifunctional K 0.5 Na 0.5 NbO 3 ‐Based Ceramics via Integrated High‐Throughput Computation and Machine Learning
Materials Genome Engineering Advances · 2026-03-01
Yudong Shi, Ting Li, Xiangfu Zeng, Haoqing Huang, Rui Xiong, Baisheng Sa, Peng Lin, Cuilian Wen, Xiao Wu, Zhimei Sun
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 ↗ ·An interpretable machine learning framework for predicting Curie temperature of lead-based piezoelectric ceramics
Journal of Materiomics · 2026-04-25
Zi Wang, Chenbo Zhang, Fei Li
Read original paper ↗ ·Adaptable piezo-photocatalytic nitrogen fixation via dynamic polarization tuning: Reaction pathway, mechanical criterion and machine learning-augmented engineering
Materials Research Bulletin · 2026-05-25
Fanbing Yan, Yuetong Guo, Yanyang Zhang, Dapeng Hong, Lianwei Shan, 胥焕岩, Dan Li, Limin Dong
Read original paper ↗ ·A computational approach to discovering high-performance, lead-free perovskite solar cells using physics-informed neural networks
Materials Today Communications · 2026-06-01
Mohamed Moustafa, Abdelrahman M. Al-Atrash, Mahmoud S. Ghanem, Saad H. Elzoheery
Read original paper ↗ ·Pd–Ni bimetallenes in-situ doped MoS2 piezocatalyst for efficient degradation of antibiotics in real water: mechanism and toxicity evaluation
Separation and Purification Technology · 2026-06-12
Shengjun Yang, Meiqin Wei, Yuxuan Zhao, Chao Liu, Jianguang Qi, Yinglong Wang, Fanqing Meng
Read original paper ↗ ·Decoding the multi-scale physical origins of rare-earth-doped PMN-PT with large piezoelectric coefficient by interpretable machine learning
Ceramics International · 2026-08-01
Xinhui Gao, Yaqi Wang, Yongcheng Zhang, Shuzhi Sam Ge, Xiangxia Wei
Read original paper ↗ ·Extended Framework Semiconductors (EFSs): A Unique and Efficient Platform for Synergetic Piezo‐Photocatalysis
Advanced Functional Materials · 2026-09-07
Xue Jiang, Na Tian, Pengwei Jia, Yihe Zhang, Hongwei Huang
Read original paper ↗ ·Bayesian optimization driven co-regulation of composition design and sintering process parameters for piezoelectric ceramics
Frontiers in Materials · 2026-09-09
Tiantian Cheng, Junfeng Luo
Read original paper ↗ ·Machine learning as a tool for predicting and engineering the next generation of piezoelectric materials
Cell Reports Physical Science · 2026-09-21
Robert Guest, Sarah Guerin
Read original paper ↗ ·Uncertainty-Aware Automated Machine-Learning Screening of BaTiO3‐Bi(Mg1/2Ti1/2)O3 Candidate Ceramics for X9R Temperature Stability
Journal of Electronic Materials · 2026-09-21
Qiuxue Guo, Zening Wang, Pinquan Qin, Chuanbin Wang, Guoqiang Luo, Shaowen Cao
Read original paper ↗ ·