IOP出版社6月精选文章——Machine Learning/AI&Catalysis/Photocatalyst

精选文章

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

Expectation–maximization machine learning model for micromechanical evaluation of thermally-cycled solder joints in a semiconductor

Tzu-Chia Chen

Automated characterization of spatial and dynamical heterogeneity in supercooled liquids via implementation of machine learning

Viet Nguyen and Xueyu Song

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

Thermal conductivity of van der Waals heterostructure of 2D GeS and SnS based on machine learning interatomic potential

Wentao Li and Chenxiu Yang

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

Physics mechanisms underlying the optimization of coherent heat transfer across width-modulated nanowaveguides with calculations and machine learning

Antonios-Dimitrios Stefanou and Xanthippi Zianni

Graph attention neural networks for mapping materials and molecules beyond short-range interatomic correlations

Yuanbin Liu, Xin Liu and Bingyang Cao

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

Machine learning-assisted inverse design of wide-bandgap acoustic topological devices

Xinxin Li, Yao Qin, Guangchen He, Feiyu Lian, Shuyu Zuo and Chengxin Cai

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

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

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

Application of machine learning in MOFs for gas adsorption and separation

Chao Yang, Jingjing Qi, Anquan Wang, Jingyu Zha, Chao Liu and Shupeng Yao

JPhys Materials

A critical review on the application of machine learning in supporting auxetic metamaterial design

Chonghui Zhang and Yaoyao Fiona Zhao

Graph representation of multi-dimensional materials

Carina T Cai, Amanda J Parker and Amanda S Barnard

Surface segregation in high-entropy alloys from alchemical machine learning

Arslan Mazitov, Maximilian A Springer, Nataliya Lopanitsyna, Guillaume Fraux, Sandip De and Michele Ceriotti

Structural mode coupling in perovskite oxides using hypothesis-driven active learning

Ayana Ghosh, Palanichamy Gayathri, Monirul Shaikh and Saurabh Ghosh

Measurement Science and Technology

Physics-informed deep-learning applications to experimental fluid mechanics

Hamidreza Eivazi, Yuning Wang and Ricardo Vinuesa

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

Application of deep learning to fault diagnosis of rotating machineries

Hao Su, Ling Xiang and Aijun Hu

Neuromorphic Computing and Engineering

Spike-based computation using classical recurrent neural networks

Florent De Geeter, Damien Ernst and Guillaume Drion

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

Smart Materials and Structures

Recent progress and future outlook of digital twins in structural health monitoring of civil infrastructure

Micheal Sakr and Ayan Sadhu

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

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

Variance extrapolation method for neural-network variational Monte Carlo

Weizhong Fu, Weiluo Ren and Ji Chen

Transforming two-dimensional tensor networks into quantum circuits for supervised learning

Zhihui Song, Jinchen Xu, Xin Zhou, Xiaodong Ding and Zheng Shan

δARD loss for low-contrast medical image segmentation

Yu Zhao, Xiaoyan Shen, Jiadong Chen, Wei Qian, He Ma and Liang Sang

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

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

Catalysis/Photocatalyst

Journal of Physics: Condensed Matter

Reduced TiO₂ with prolonged electron lifetime for improving photocatalytic water reduction activity

Hanggara Sudrajat, Ari Susanti and Sri Hartuti

Quaternary 2D monolayer Cu₂Cl₂Se₂Hg₂: anisotropic carrier mobility and tunable bandgap for transistor and photocatalytic applications

Yuehua Xu, Qianqian Long, Qiang Zeng, Daqing Li and Pengfei Li

Nano spinel NiAl₂O₄: structure, optical and photocatalytic performance evaluation and optimization

Xinmiao Yu, Shifa Wang, Hui Xie, Zao Yi, Jinlong Tang, Huajing Gao, Hua Yang, Leiming Fang and Asad Syed

Photocatalytic water splitting properties of GeC/InS van der Waals heterostructure: first-principles calculations

Jiaxin Wang, Kanghao Liang, Xing Wei, Yan Zhang, Huaxin Chen, Yun Yang, Jian Liu, Ye Tian and Li Duan

Activating two-dimensional semiconductors for photocatalysis: a cross-dimensional strategy

R Botella, W Cao, J Celis, J Fernández-Catalá, R Greco, L Lu, V Pankratova and F Temerov

Bi-based bracelet-like monolayer with negative in-plane Poisson’s ratio and enhanced photocatalytic performance: a first-principles study

N Kedidi, T Ayadi and M Debbichi

Material Research Express

Enhancing photocatalytic performance of BiOI/TiO₂ NTs nanocomposites through SILAR optimization for methylene blue degradation

M Zaghdoudi, J Bennaceur and R Ouertani

Systematic analysis of the gallium ions and structure-directing agents in the preparation of NiW HDS catalysts over mixed oxides of Al₂O₃-TiO₂

M A Guzmán-Cruz, J G Pacheco-Sosa, L Morales de la Garza, A I Gochi Bautista, J A Medina-Cervantes, E D Gutiérrez-López, S Fuentes-Moyado and J N Díaz de León

Visible-light-driven photocatalytic degradation of doxycycline using TiO₂/g-C₃N₄/biochar catalyst

Nguyen Van Hung, Bui Thi Minh Nguyet, Nguyen Ngọc Bich, Nguyen Minh Luon, Ngoc Nhiem Dao, Nguyen Trung Kien, Van Thanh Son Le, Nguyen Thanh Tuoi and Dinh Quang Khieu

Synthesis of Fe-doped ZnO/biochar nanocomposites for acid orange 7 photodegradation and antibacterial activity under visible light region

Nguyen Thi Huynh Nhu, Bui Thi Minh Nguyet, Nguyen Ngoc Bich, Dinh Quang Khieu and Nguyen Van Hung

Exploring the photocatalytic degradation of organic textile dye using hydrothermally synthesized Ce-doped metal chalcogenide nanomaterial

Bilal Ahmad Bhat, Nimisha Jadon and Harendra K Sharma

Synthesis of bimetallic Ni-Pt/SAPO-11 composite and the catalytic application in n-heptane hydroisomerization

Zhen Jiang, Liduo Chen, Yanhong Cui, Yanhua Suo, Wei Zhang, Yisi Zhou and Yingjun Wang

Impact of preparation methods on the performance of Cu/Ni/Zr catalysts for methanol decomposition

Yexin Chen, Yankun Jiang, Beidong Zhang, Yixin Lu and Beichen Wang

Applied research on methane steam reforming properties of porous structural catalyst fabricated by selective laser melting technology

Xinghua Liang, Mingzhao Wei, Dongdong Dong, LingXiao Lan, Ge Yan, Xingchen Yan, Yujiang Wang, Jianglong Yi, Cheng Chang and Min Liu

GAD plasma-assisted synthesis of ZnO nanoparticles and their photocatalytic activity

Ridha Messai, Mohammed Fouad Ferhat, Bilal Belmekki, Mir Waqas Alam, Mohd Al Saleh Al-Othoum and Shima Sadaf

JPhys Energy

2023 roadmap on ammonia as a carbon-free fuel

William I F David, Gerry D Agnew, René Bañares-Alcántara, James Barth, John Bøgild Hansen, Pierre Bréquigny, Mara de Joannon, Sofia Fürstenberg Stott, Conor Fürstenberg Stott, Andrea Guati-Rojo, Marta Hatzell, Douglas R MacFarlane, Joshua W Makepeace, Epaminondas Mastorakos, Fabian Mauss, Andrew Medford, Christine Mounaïm-Rousselle, Duncan A Nowicki, Mark A Picciani, Rolf S Postma, Kevin H R Rouwenhorst, Pino Sabia, Nicholas Salmon, Alexandr N Simonov, Collin Smith, Laura Torrente-Murciano and Agustin Valera-Medina

Photocatalytic CO₂ reduction to syngas using nickel phosphide-loaded CdS under visible light irradiation

Poonam Yadav, Santosh Kumar, Nandhakumar Velankanni, Thomas D Kühne, Suresh Gosavi, Ramya Kormath Madam Raghupathy, Reshma Bhosale, Georg Held, Manjusha Shelke and Satishchandra Ogale

Modulation of electrocatalytic activity by tuning anion electronegativity: case study with copper chalcogenides

Harish Singh, David Prendergast and Manashi Nath

2023 roadmap on photocatalytic water splitting

Detlef Bahnemann, Peter Robertson, Chuanyi Wang, Wonyong Choi, Helen Daly, Mohtaram Danish, Hugo de Lasa, Salvador Escobedo, Christopher Hardacre, Tae Hwa Jeon, Bupmo Kim, Horst Kisch, Wei Li, Mingce Long, M Muneer, Nathan Skillen and Jingzheng Zhang