IOP出版 社 6月 精 选文章 ——Machine Learning
IOP出版 社 每月 从年度 重点 期 刊 中 精 选两个主题的研究 文章 供 大家 阅读，本 月 的 主 题为Machine Learning/AI和 Catalysis/Photocatalyst。这些文章 体 现了IOP期 刊 的 高 质量和 创新性 ，并呈现了一 些受关注的 研究 工作 。欢迎大家 阅读下 载！
***Machine Learning/AI***
《Journal of Physics: Condensed Matter》
Machine learning approach to study quantum phase transitions of a frustrated one dimensional spin-1/2 system
Sk Saniur Rahaman, Sumit Haldar and Manoranjan Kumar
O网页链接
Expectation–maximization machine learning model for micromechanical evaluation of thermally-cycled solder joints in a semiconductor
Tzu-Chia Chen
O网页链接
Automated characterization of spatial and dynamical heterogeneity in supercooled liquids via implementation of machine learning
Viet Nguyen and Xueyu Song
O网页链接
Machine learning molecular dynamics simulation of CO-driven formation of Cu clusters on the Cu(111) surface
Harry H Halim, Ryo Ueda and Yoshitada Morikawa
O网页链接
Thermal conductivity of van der Waals heterostructure of 2D GeS and SnS based on machine learning interatomic potential
Wentao Li and Chenxiu Yang
O网页链接
Predicting mechanical properties of CO2 hydrates: machine learning insights from molecular dynamics simulations
Yu Zhang, Zixuan Song, Yanwen Lin, Qiao Shi, Yongchao Hao, Yuequn Fu, Jianyang Wu and Zhisen Zhang
O网页链接
Physics mechanisms underlying the optimization of coherent heat transfer across width-modulated nanowaveguides with calculations and machine learning
Antonios-Dimitrios Stefanou and Xanthippi Zianni
O网页链接
Graph attention neural networks for mapping materials and molecules beyond short-range interatomic correlations
Yuanbin Liu, Xin Liu and Bingyang Cao
O网页链接
《Journal of Physics D: Applied Physics》
Predicting the properties of perovskite materials by improved compositionally restricted attention-based networks and explainable machine learning
Zhan Hui, Min Wang, Jiacheng Wang, Jialu Chen, Xiang Yin and Yunliang Yue
O网页链接
Machine learning-assisted inverse design of wide-bandgap acoustic topological devices
Xinxin Li, Yao Qin, Guangchen He, Feiyu Lian, Shuyu Zuo and Chengxin Cai
O网页链接
《Material Research Express》
Comparative assessment of supervised machine learning algorithms for predicting geometric characteristics of laser cladded inconel 718
Hao Yang, Heran Geng, Marco Alfano and Junfeng Yuan
O网页链接
Experimental study of the effect of different 3D printing parameters on tensile strength, using artificial neural network
Lahcen Hamouti, Omar El Farissi and Maryam Laouardi
O网页链接
Investigation of effect of processing parameters of 3D printed NHS/EDC crosslinked carboxy methyl cellulose/gelatin hydrogels with machine learning techniques
Duygu Ege and Şule Arıcı
O网页链接
Application of machine learning in MOFs for gas adsorption and separation
Chao Yang, Jingjing Qi, Anquan Wang, Jingyu Zha, Chao Liu and Shupeng Yao
O网页链接
《JPhys Materials》
A critical review on the application of machine learning in supporting auxetic metamaterial design
Chonghui Zhang and Yaoyao Fiona Zhao
O网页链接
Graph representation of multi-dimensional materials
Carina T Cai, Amanda J Parker and Amanda S Barnard
O网页链接
Surface segregation in high-entropy alloys from alchemical machine learning
Arslan Mazitov, Maximilian A Springer, Nataliya Lopanitsyna, Guillaume Fraux, Sandip De and Michele Ceriotti
O网页链接
Structural mode coupling in perovskite oxides using hypothesis-driven active learning
Ayana Ghosh, Palanichamy Gayathri, Monirul Shaikh and Saurabh Ghosh
O网页链接
《Measurement Science and Technology》
Physics-informed deep-learning applications to experimental fluid mechanics
Hamidreza Eivazi, Yuning Wang and Ricardo Vinuesa
O网页链接
A review on convolutional neural network in rolling bearing fault diagnosis
Xin Li, Zengqiang Ma, Zonghao Yuan, Tianming Mu, Guoxin Du, Yan Liang and Jingwen Liu
O网页链接
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang and Aijun Hu
O网页链接
《Neuromorphic Computing and Engineering》
Spike-based computation using classical recurrent neural networks
Florent De Geeter, Damien Ernst and Guillaume Drion
O网页链接
Exploiting deep learning accelerators for neuromorphic workloads
Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D Lu and Jason K Eshraghian
O网页链接
《Smart Materials and Structures》
Recent progress and future outlook of digital twins in structural health monitoring of civil infrastructure
Micheal Sakr and Ayan Sadhu
O网页链接
《Machine Learning: Science and Technology》
WaveFormer: transformer-based denoising method for gravitational-wave data
He Wang, Yue Zhou, Zhoujian Cao, Zongkuan Guo and Zhixiang Ren
O网页链接
Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography
Baoshun Shi, Ke Jiang, Shaolei Zhang, Qiusheng Lian, Yanwei Qin and Yunsong Zhao
O网页链接
Variance extrapolation method for neural-network variational Monte Carlo
Weizhong Fu, Weiluo Ren and Ji Chen
O网页链接
Transforming two-dimensional tensor networks into quantum circuits for supervised learning
Zhihui Song, Jinchen Xu, Xin Zhou, Xiaodong Ding and Zheng Shan
O网页链接
δ ARD loss for low-contrast medical image segmentation
Yu Zhao, Xiaoyan Shen, Jiadong Chen, Wei Qian, He Ma and Liang Sang
O网页链接
《Environmental Research Letters》
First estimation of hourly full-coverage ground-level ozone from Fengyun-4A satellite using machine learning
Ling Gao, Han Zhang, Fukun Yang, Wangshu Tan, Ronghua Wu and Yi Song
O网页链接
《Journal of Neural Engineering》
Data augmentation for invasive brain–computer interfaces based on stereo-electroencephalography (SEEG)
Xiaolong Wu, Dingguo Zhang, Guangye Li, Xin Gao, Benjamin Metcalfe and Liang Chen
O网页链接
IOP
***Machine Learning/AI***
《Journal of Physics: Condensed Matter》
Machine learning approach to study quantum phase transitions of a frustrated one dimensional spin-1/2 system
Sk Saniur Rahaman, Sumit Haldar and Manoranjan Kumar
O网页链接
Expectation–maximization machine learning model for micromechanical evaluation of thermally-cycled solder joints in a semiconductor
Tzu-Chia Chen
O网页链接
Automated characterization of spatial and dynamical heterogeneity in supercooled liquids via implementation of machine learning
Viet Nguyen and Xueyu Song
O网页链接
Machine learning molecular dynamics simulation of CO-driven formation of Cu clusters on the Cu(111) surface
Harry H Halim, Ryo Ueda and Yoshitada Morikawa
O网页链接
Thermal conductivity of van der Waals heterostructure of 2D GeS and SnS based on machine learning interatomic potential
Wentao Li and Chenxiu Yang
O网页链接
Predicting mechanical properties of CO2 hydrates: machine learning insights from molecular dynamics simulations
Yu Zhang, Zixuan Song, Yanwen Lin, Qiao Shi, Yongchao Hao, Yuequn Fu, Jianyang Wu and Zhisen Zhang
O网页链接
Physics mechanisms underlying the optimization of coherent heat transfer across width-modulated nanowaveguides with calculations and machine learning
Antonios-Dimitrios Stefanou and Xanthippi Zianni
O网页链接
Graph attention neural networks for mapping materials and molecules beyond short-range interatomic correlations
Yuanbin Liu, Xin Liu and Bingyang Cao
O网页链接
《Journal of Physics D: Applied Physics》
Predicting the properties of perovskite materials by improved compositionally restricted attention-based networks and explainable machine learning
Zhan Hui, Min Wang, Jiacheng Wang, Jialu Chen, Xiang Yin and Yunliang Yue
O网页链接
Machine learning-assisted inverse design of wide-bandgap acoustic topological devices
Xinxin Li, Yao Qin, Guangchen He, Feiyu Lian, Shuyu Zuo and Chengxin Cai
O网页链接
《Material Research Express》
Comparative assessment of supervised machine learning algorithms for predicting geometric characteristics of laser cladded inconel 718
Hao Yang, Heran Geng, Marco Alfano and Junfeng Yuan
O网页链接
Experimental study of the effect of different 3D printing parameters on tensile strength, using artificial neural network
Lahcen Hamouti, Omar El Farissi and Maryam Laouardi
O网页链接
Investigation of effect of processing parameters of 3D printed NHS/EDC crosslinked carboxy methyl cellulose/gelatin hydrogels with machine learning techniques
Duygu Ege and Şule Arıcı
O网页链接
Application of machine learning in MOFs for gas adsorption and separation
Chao Yang, Jingjing Qi, Anquan Wang, Jingyu Zha, Chao Liu and Shupeng Yao
O网页链接
《JPhys Materials》
A critical review on the application of machine learning in supporting auxetic metamaterial design
Chonghui Zhang and Yaoyao Fiona Zhao
O网页链接
Graph representation of multi-dimensional materials
Carina T Cai, Amanda J Parker and Amanda S Barnard
O网页链接
Surface segregation in high-entropy alloys from alchemical machine learning
Arslan Mazitov, Maximilian A Springer, Nataliya Lopanitsyna, Guillaume Fraux, Sandip De and Michele Ceriotti
O网页链接
Structural mode coupling in perovskite oxides using hypothesis-driven active learning
Ayana Ghosh, Palanichamy Gayathri, Monirul Shaikh and Saurabh Ghosh
O网页链接
《Measurement Science and Technology》
Physics-informed deep-learning applications to experimental fluid mechanics
Hamidreza Eivazi, Yuning Wang and Ricardo Vinuesa
O网页链接
A review on convolutional neural network in rolling bearing fault diagnosis
Xin Li, Zengqiang Ma, Zonghao Yuan, Tianming Mu, Guoxin Du, Yan Liang and Jingwen Liu
O网页链接
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang and Aijun Hu
O网页链接
《Neuromorphic Computing and Engineering》
Spike-based computation using classical recurrent neural networks
Florent De Geeter, Damien Ernst and Guillaume Drion
O网页链接
Exploiting deep learning accelerators for neuromorphic workloads
Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D Lu and Jason K Eshraghian
O网页链接
《Smart Materials and Structures》
Recent progress and future outlook of digital twins in structural health monitoring of civil infrastructure
Micheal Sakr and Ayan Sadhu
O网页链接
《Machine Learning: Science and Technology》
WaveFormer: transformer-based denoising method for gravitational-wave data
He Wang, Yue Zhou, Zhoujian Cao, Zongkuan Guo and Zhixiang Ren
O网页链接
Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography
Baoshun Shi, Ke Jiang, Shaolei Zhang, Qiusheng Lian, Yanwei Qin and Yunsong Zhao
O网页链接
Variance extrapolation method for neural-network variational Monte Carlo
Weizhong Fu, Weiluo Ren and Ji Chen
O网页链接
Transforming two-dimensional tensor networks into quantum circuits for supervised learning
Zhihui Song, Jinchen Xu, Xin Zhou, Xiaodong Ding and Zheng Shan
O网页链接
Yu Zhao, Xiaoyan Shen, Jiadong Chen, Wei Qian, He Ma and Liang Sang
O网页链接
《Environmental Research Letters》
First estimation of hourly full-coverage ground-level ozone from Fengyun-4A satellite using machine learning
Ling Gao, Han Zhang, Fukun Yang, Wangshu Tan, Ronghua Wu and Yi Song
O网页链接
《Journal of Neural Engineering》
Data augmentation for invasive brain–computer interfaces based on stereo-electroencephalography (SEEG)
Xiaolong Wu, Dingguo Zhang, Guangye Li, Xin Gao, Benjamin Metcalfe and Liang Chen
O网页链接
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