Papers citing Machine learning: Accelerating materials development for energy storage and conversion
High‐Entropy Energy Materials in the Age of Big Data: A Critical Guide to Next‐Generation Synthesis and Applications
Advanced Energy Materials · 2021-10-31
Qingsong Wang, Leonardo Velasco, Ben Breitung, Volker Presser
Read original paper ↗ ·Review of machine learning‐driven design of polymer‐based dielectrics
IET Nanodielectrics · 2021-11-02
Ming‐Xiao Zhu, Ting Deng, Lei Dong, Jiming Chen, Zhi‐Min Dang
Read original paper ↗ ·Computational modeling of green hydrogen generation from photocatalytic H2S splitting: Overview and perspectives
Journal of Photochemistry and Photobiology C Photochemistry Reviews · 2021-11-09
Yuting Li, Daniel Bahamón, Mutasem Omar Sinnokrot, Khalid A. Al-Ali, Giovanni Palmisano, Lourdes F. Vega
Read original paper ↗ ·Multiscale Graph Attention Neural Networks for Mapping Materials and Molecules beyond Short-Range Interatomic Correlations
Research Square · 2021-11-12
Yuanbin Liu, Xin Liu, Bing Cao
Read original paper ↗ ·Screening of potential double perovskite materials for photovoltaic applications using agglomerative hierarchical clustering
arXiv (Cornell University) · 2021-11-15
Utkarsh Saha, Koyendrila Debnath, Soumitra Satapathi
Read original paper ↗ ·Targeted design of advanced electrocatalysts by machine learning
CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION) · 2021-11-16
Letian Chen, Xu Zhang, An Chen, Sai Yao, Xu Hu, Zhen Ping Zhou
Read original paper ↗ ·Δ-Machine learning-driven discovery of double hybrid organic–inorganic perovskites
Journal of Materials Chemistry A · 2021-12-13
Jialu Chen, Wenjun Xu, Rui-Qin Zhang
Read original paper ↗ ·Digital Microscale Electrochemical Energy Storage Devices for a Fully Connected and Intelligent World
ACS Energy Letters · 2021-12-15
Xiaoyu Shi, Pratteek Das, Zhong‐Shuai Wu
Read original paper ↗ ·Accelerating colloidal quantum dot innovation with algorithms and automation
Materials Advances · 2022-01-01
Neal Munyebvu, Esmé Lane, Enrico Grisan, Philip D. Howes
Read original paper ↗ ·Building up the “Genome” of bi-atom catalysts toward efficient HER/OER/ORR
Journal of Materials Chemistry A · 2022-01-01
Lihong Zhang, Xiangyu Guo, Shengli Zhang, Shiping Huang
Read original paper ↗ ·Functional Nanomaterials Design in the Workflow of Building Machine-Learning Models
Lecture notes in networks and systems · 2022-01-01
Zhexu Xi
Read original paper ↗ ·High-throughput assessment of two-dimensional electrode materials for energy storage devices
Cell Reports Physical Science · 2022-01-01
Arnab Kabiraj, Santanu Mahapatra
Read original paper ↗ ·Influence of Molecular Layered Structure on Thermoelectric Properties of Materials
SSRN Electronic Journal · 2022-01-01
Lihao Chen, Shuopu Wang, Chen Zou, Jianchun Xu, Ben Xu, Ke Bi
Read original paper ↗ ·Machine learning enabled high-throughput screening of inorganic solid electrolytes for regulating dendritic growth in lithium metal anodes
New Journal of Chemistry · 2022-01-01
Anish Satpati, Ganapathi Rao Kandregula, Kothandaraman Ramanujam
Read original paper ↗ ·Mutual modulation via charge transfer and unpaired electrons of catalytic sites for the superior intrinsic activity of N 2 reduction: from high-throughput computation assisted with a machine learning perspective
Journal of Materials Chemistry A · 2022-01-01
Zheng Shu, Hejin Yan, Hongfei Chen, Yongqing Cai
Read original paper ↗ ·Optimization of Chemical Synthesis with Heuristic Algorithms
Physical Chemistry Chemical Physics · 2022-01-01
Jialu Chen, Wenjun Xu, Ruiqin Q. Zhang
Read original paper ↗ ·Using machine learning to screen non-graphite carbon materials based on Na-ion storage properties
Journal of Materials Chemistry A · 2022-01-01
Xiaoxu Liu, Tian Wang, Tianyi Ji, Hui Wang, Hui Liu, Junqi Li, Dongliang Chao
Read original paper ↗ ·Toward Excellence of Electrocatalyst Design by Emerging Descriptor‐Oriented Machine Learning
Advanced Functional Materials · 2022-01-15
Jianwen Liu, Wenzhi Luo, Lei Wang, Jiujun Zhang, Xian‐Zhu Fu, Jing‐Li Luo
Read original paper ↗ ·Machine Learning Approach for Maximizing Thermoelectric Properties of BiCuSeO and Discovering New Doping Element
Energies · 2022-01-21
Nuttawat Parse, Chakrit Pongkitivanichkul, Supree Pinitsoontorn
Read original paper ↗ ·Performance Predictors for Organic Cathodes of Lithium-Ion Battery
ACS Applied Energy Materials · 2022-01-21
Kosuke Sakano, Yasuhiko Igarashi, Hiroaki Imai, Shuntaro Miyakawa, Takaya Saito, Yoshiki Takayanagi, Koji Nishiyama, Yuya Oaki
Read original paper ↗ ·Reviewing machine learning of corrosion prediction in a data-oriented perspective
npj Materials Degradation · 2022-01-26
Leonardo Bertolucci Coelho, Dawei Zhang, Yves Van Ingelgem, Denis Steckelmacher, Ann Nowé, Herman Albert Terryn
Read original paper ↗ ·Smart Materials Prediction: Applying Machine Learning to Lithium Solid-State Electrolyte
Materials · 2022-02-02
Qianyu Hu, Kunfeng Chen, Fei Liu, Mengying Zhao, Feng Liang, Dongfeng Xue
Read original paper ↗ ·Global instability index as a crystallographic stability descriptor of halide and chalcogenide perovskites
Journal of Energy Chemistry · 2022-02-18
Weiqiang Feng, Ruoting Zhao, Xiaoyu Wang, Bangyu Xing, Yilin Zhang, Xin Hai He, Lijun Zhang
Read original paper ↗ ·Perspective on Theoretical Models for CO2 Electrochemical Reduction
The Journal of Physical Chemistry C · 2022-02-18
Xu Zhang, Zhen Ping Zhou
Read original paper ↗ ·Learning Matter: Materials Design with Machine Learning and Atomistic Simulations
Accounts of Materials Research · 2022-02-21
Simon Axelrod, Daniel Schwalbe‐Koda, Somesh Mohapatra, James R. Jr. Damewood, Kevin P. Greenman, Rafael Gómez‐Bombarelli
Read original paper ↗ ·Evaluation of performance of machine learning methods in mining structure–property data of halide perovskite materials
Chinese Physics B · 2022-03-14
Ruoting Zhao, Bangyu Xing, Huimin Mu, Yuhao Fu, Lijun Zhang
Read original paper ↗ ·Inverse Design of Nanoclusters for Light-Controlled CO2–HCOOH Interconversion
The Journal of Physical Chemistry Letters · 2022-03-14
Wei Pei, Pengju Wang, Si Zhou, Jijun Zhao
Read original paper ↗ ·Accelerating the discovery of high-performance donor/acceptor pairs in photovoltaic materials via machine learning and density functional theory
Materials & Design · 2022-03-18
Xiujuan Liu, Yueyue Shao, Tian Lu, Dongping Chang, Minjie Li, Wencong Lu
Read original paper ↗ ·Emerging Trends in Sustainable CO 2 ‐Management Materials
Advanced Materials · 2022-03-21
Zhen Zhang, Yun Hong Zheng, Lanting Qian, Dan Luo, Haozhen Dou, Guobin Wen, Aiping Yu, Zhongwei Chen
Read original paper ↗ ·Fast Remaining Capacity Estimation for Lithium‐ion Batteries Based on Short‐time Pulse Test and Gaussian Process Regression
Energy & environment materials · 2022-03-27
Aihua Ran, Ming Cheng, Shuxiao Chen, Zheng Yong Liang, Zihao Zhou, Guangmin Zhou, Feiyu Kang, Xuan Zhang, Baohua Li, Guodan Wei
Read original paper ↗ ·Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
Resources Conservation and Recycling · 2022-03-29
Kai Meng, Guiyin Xu, Xianghui Peng, Kamal Youcef‐Toumi, Ju Li
Read original paper ↗ ·Machine learning in energy storage materials
Interdisciplinary materials · 2022-03-29
Zhong‐Hui Shen, Hanxing Liu, Yang Shen, Jia‐Mian Hu, Long‐Qing Chen, Ce‐Wen Nan
Read original paper ↗ ·Multi-dimensional characteristic construction methods of computational materials under big data environment
ChemPhysMater · 2022-03-30
Lihao Chen, Shuopu Wang, Chen Zou, Ben Xu, Ke Bi
Read original paper ↗ ·Catalytic Hydrogenation of CO2 to Methanol: A Review
Catalysts · 2022-04-06
Menghao Ren, Yanmin Zhang, Xuan Wang, Hengshan Qiu
Read original paper ↗ ·Vision for energy material design: A roadmap for integrated data-driven modeling
Journal of Energy Chemistry · 2022-04-07
Zhilong Wang, Yanqiang Han, Junfei Cai, An Chen, Jinjin Li
Read original paper ↗ ·MaterialsAtlas.org: a materials informatics web app platform for materials discovery and survey of state-of-the-art
npj Computational Materials · 2022-04-11
Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, Steph-Yves Louis, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Lai Wei
Read original paper ↗ ·N/P/O doped porous carbon materials for supercapacitor with high performance
Diamond and Related Materials · 2022-04-11
Xihao Lin, Sanmao Yin, Weibing Zhang, Xin‐Hua Li
Read original paper ↗ ·Data‐driven battery degradation prediction: Forecasting voltage‐capacity curves using one‐cycle data
EcoMat · 2022-04-20
Jinpeng Tian, Rui Xiong, Weixiang Shen, Jiahuan Lu
Read original paper ↗ ·Data‐Driven Materials Innovation and Applications
Advanced Materials · 2022-04-22
Zhuo Wang, Zhehao Sun, Hang Yin, Xinghui Liu, Jinlan Wang, Haitao Zhao, Cheng Heng Pang, Tao Wu, Shuzhou Li, Zongyou Yin, Xue‐Feng Yu
Read original paper ↗ ·Theory-guided experimental design in battery materials research
Science Advances · 2022-05-11
Alex Yong Sheng Eng, Chhail Bihari Soni, Yanwei Lum, Edwin Khoo, Zhenpeng Yao, S. K. Vineeth, Vipin Kumar, Jun Biao Lu, Christopher S. Johnson, Christopher Wolverton, Zhi Wei Seh
Read original paper ↗ ·A facile and environmentally friendly method for preparing supercapacitor electrode carbon-based materials with ultra-long cycling stability
Materials Today Communications · 2022-05-21
Lili Zhu, Shilian Lai, Jing-Yan Zhu, Qing Chi Xu, Xin‐Hua Li
Read original paper ↗ ·B/N/O/Zn doped porous carbon materials for supercapacitor with high performance
Journal of Electroanalytical Chemistry · 2022-06-06
Xihao Lin, Sanmao Yin, Jun Jiang, Xin‐Hua Li
Read original paper ↗ ·Layered Perovskite Lithium Yttrium Titanate as a Low‐Potential and Ultrahigh‐Rate Anode for Lithium‐Ion Batteries
Advanced Energy Materials · 2022-06-11
Yun Zhang, Jun Huang, Nagahiro Saito, Xiaolong Yang, Zhengxi Zhang, Li Yang, Shin‐ichi Hirano
Read original paper ↗ ·Bridging Multiscale Characterization Technologies and Digital Modeling to Evaluate Lithium Battery Full Lifecycle
Advanced Energy Materials · 2022-06-15
Xinhua Liu, Lisheng Zhang, Hanqing Yu, Jianan Wang, Junfu Li, Kai Yang, Yunlong Zhao, Huizhi Wang, Billy Wu, Nigel Peter Brandon, Shichun Yang
Read original paper ↗ ·Metal-organic frameworks marry carbon: Booster for electrochemical energy storage
Journal of Energy Storage · 2022-06-20
Jia Xu, Yi Peng, Wenqian Xing, Ziyu Ding, Songtao Zhang, Huan Pang
Read original paper ↗ ·Machine Learning Models Predict Calculation Outcomes with the Transferability Necessary for Computational Catalysis
Journal of Chemical Theory and Computation · 2022-06-23
Chenru Duan, Aditya Nandy, Husain Adamji, Yuriy Román‐Leshkov, Heather J. Kulik
Read original paper ↗ ·Atomic‐Level Design of Active Site on Two‐Dimensional MoS 2 toward Efficient Hydrogen Evolution: Experiment, Theory, and Artificial Intelligence Modelling
Advanced Functional Materials · 2022-07-14
Chun Sun, Longlu Wang, Weiwei Zhao, Lingbin Xie, Jin Wang, Jianmin Li, Bingxiang Li, Shujuan Liu, Zechao C. Zhuang, Qiang Zhao
Read original paper ↗ ·Advanced Cathode Materials for Protonic Ceramic Fuel Cells: Recent Progress and Future Perspectives
Advanced Energy Materials · 2022-07-21
Ning Wang, Chunmei Tang, Lei Du, Ruijie Zhu, Lixin Xing, Zhongqian Song, Baoyin Yuan, Lei Zhao, Yoshitaka Aoki, Siyu Ye
Read original paper ↗ ·High-Throughput Computational Screening and Machine Learning Modeling of Janus 2D III–VI van der Waals Heterostructures for Solar Energy Applications
Chemistry of Materials · 2022-07-21
Baisheng Sa, Rong Hu, Zhao Zheng, Rui Xiong, Yinggan Zhang, Cuilian Wen, Jian Xin Zhou, Zhimei Sun
Read original paper ↗ ·Machine Learning: A New Paradigm in Computational Electrocatalysis
The Journal of Physical Chemistry Letters · 2022-08-18
Xu Zhang, Yun Tian, Letian Chen, Xu Hu, Zhen Ping Zhou
Read original paper ↗ ·