IOP出版社3月精选文章——Catalysis&Machine Learning

精选文章

Catalysis/Photocatalyst

2D Materials

MXenes: exploiting their unique properties for designing next-generation thermal catalysts and photocatalysts

Joshua O Ighalo, Morgen L Smith, Ahmed Al Mayyahi and Placidus B Amama

Journal of Physics: Condensed Matter

Fermi level pinning in metal oxides: influence on photocatalysis and photoelectrochemistry

D Mamedov, S Zh Karazhanov and N Alonso-Vante

Semiconductor Science and Technology

Green synthesis and photocatalytic proficiency of tunable SnO₂ nanostructures: unveiling environmental-friendly strategies for sustainable water remediation

Shalu Gupta and Rakesh Kumar

Nanotechnology

Metal chalcogenide quantum dots for photochemical and electrochemical hydrogen generation: recent advancements and technological challenges

Syed Asim Ali, Iqra Sadiq and Tokeer Ahmad

Recent advances in graphitic carbon nitride-based nanocomposites for energy storage and conversion applications

Shuxian Tang, Yiwen Xing, Yan Wang and Gang Wei

JPhys Energy

Synergy of nitrogen dopants and cobalt single atoms in calcium niobate nanosheets for photocatalytic oxygen evolution

Sajjad ul Haq, Chung-Li Dong, Yu-Cheng Huang, Rana Moiz ur Rehman, Essossimna Djatoubai, Zhi Lin, Muhammad Shuaib Khan and Shaohua Shen

How to supply more solar energy to reactive sites for highly efficient artificial photosynthesis

Yasuhiko Takeda and Takeshi Morikawa

Enhancing electrocatalytic performance of RuO₂-based catalysts: mechanistic insights, strategic approaches, and recent advances

Binod Raj KC, Dhananjay Kumar and Bishnu Prasad Bastakoti

JPhys Photonics

Challenges in photocatalysis using covalent organic frameworks

Shu-Yan Jiang, Thomas P Senftle and Rafael Verduzco

Machine Learning/AI

Measurement Science and Technology

A systematic review on interpretability research of intelligent fault diagnosis models

Ying Peng, Haidong Shao, Yiming Xiao, Shen Yan, Jie Wang and Bin Liu

Intelligent fault diagnosis methods for hydraulic components based on information fusion: review and prospects

Hanlin Guan, Yan Ren, Hesheng Tang and Jiawei Xiang

Multi-channel fused vision transformer network for bearing fault diagnosis under different working conditions

Jinrui Wang, Yan Lian, Zongzhen Zhang, Shuo Xing, Wen Liu, Limei Huang and Yuanjie Ma

A new multiple mixed augmentation-based transfer learning method for machinery fault diagnosis

Hangqi Ge, Changqing Shen, Xinhai Lin, Dong Wang, Juanjuan Shi, Weiguo Huang and Zhongkui Zhu

Journal of Physics: Complexity

The emergence of cooperation via Q-learning in spatial donation game

Jing Zhang, Zhihai Rong, Guozhong Zheng, Jiqiang Zhang and Li Chen

Classification of stochastic processes based on deep learning

Shamsan A Al-Murisi, Xiangong Tang and Weihua Deng

Classical and Quantum Gravity

Demonstration of machine learning-assisted low-latency noise regression in gravitational wave detectors

Muhammed Saleem, Alec Gunny, Chia-Jui Chou, Li-Cheng Yang, Shu-Wei Yeh, Andy H Y Chen, Ryan Magee, William Benoit, Tri Nguyen, Pinchen Fan, Deep Chatterjee, Ethan Marx, Eric Moreno, Rafia Omer, Ryan Raikman, Dylan Rankin, Ritwik Sharma, Michael Coughlin, Philip Harris and Erik Katsavounidis

Journal of Physics A: Mathematical and Theoretical

Large sampling intervals for learning and predicting chaotic systems with reservoir computing

Qingyan Xie, Zixiang Yan, Hui Zhao, Jian Gao and Jinghua Xiao

Learning 3-manifold triangulations

Francesco Costantino, Yang-Hui He, Elli Heyes and Edward Hirst

Spike propagation by synchronization and vibrational resonance in feedforward Izhikevich neural network

Kai Jia, Haohao Wang, Xin Wang and Mengyan Ge

Journal of Physics G: Nuclear and Particle Physics

Machine learning the in-medium correction factor on nucleon–nucleon elastic cross section

Guojun Wei, Pengcheng Li, Yongjia Wang, Qingfeng Li and Fuhu Liu

https://iopscience.iop.org/article/10.1088/1361-6471/ad975f

JPhys Materials

Defect modeling in semiconductors: the role of first principles simulations and machine learning

Md Habibur Rahman and Arun Mannodi-Kanakkithodi

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

Chonghui Zhang and Yaoyao Fiona Zhao

Machine Learning Science and Technology

New parameterized quantum gates design and efficient gradient solving based on variational quantum classification algorithm

Xiaodong Ding, FuDong Liu, Weilong Wang, Yu Zhu, Yifan Hou, Yizhen Huang, Jinchen Xu and Zheng Shan

A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes

Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding and Furong Gao

Laryngeal cancer diagnosis based on improved YOLOv8 algorithm

Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing and Wenjian Liu

Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction

Zexi Yang, Qi Yu, Yapeng Zhan and Jiying Liu

Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting

Yumin Dong and Huanxin Ding

JPhys Photonics

Classification of single extracellular vesicles in a double nanohole optical tweezer for cancer detection

Matthew Peters, Sina Halvaei, Tianyu Zhao, Annie Yang-Schulz, Karla C Williams and Reuven Gordon

Diffusion models for super-resolution microscopy: a tutorial

Harshith Bachimanchi and Giovanni Volpe

Change-point detection in anomalous-diffusion trajectories utilising machine-learning-based uncertainty estimates

Henrik Seckler and Ralf Metzler

Materials for Quantum Technology

Efficient characterization of blinking quantum emitters from scarce data sets via machine learning

G Landry and C Bradac

Journal of Optics

Imaging through a multimode optical fiber with principal component analysis and a variational autoencoder

Shichao Yue, Zifan Che and Minzhi Xu

Generating real-scene hologram through light field imaging and deep learning

Rui Wang, Lingyu Ai, Yinghui Wang, Xiaolong Zhu, Yuqing Ni and Myungjin Cho

Low-complexity EVM estimation based on artificial neural networks for coherent optical systems

Dhirendra Kumar Jha and Jitendra K Mishra