IOP出版社9月精选文章——Attosecond&Machine Learning/AI

精选文章

Attosecond

JPhys Photonics

Attosecond electron dynamics in solid-state systems

G Inzani and M Lucchini

Absolute delay calibration by analytical fitting of attosecond streaking measurements

G Inzani, N Di Palo, G L Dolso, M Nisoli and M Lucchini

Journal of Optics

Active, reactive and instantaneous optical forces on small particles in the time domain: ultrafast attosecond subcycle pulses

Xiaohao Xu, F J Valdivia-Valero and M Nieto-Vesperinas

Carrier-envelope phase-stable few-cycle pulses from two stage hybrid compression of a Yb:KGW amplifier

Dipendra Khatri, Tran-Chau Truong, Chelsea Kincaid, Christopher Lantigua and Michael Chini

Journal of Physics B: Atomic, Molecular and Optical Physics

Quantitative uncertainty analysis of extracting attosecond delays from spectrally overlapping RABBIT experiments

Jia-Bao Ji and Hans Jakob Wörner

Extreme-ultraviolet field-initiated high-order harmonic generation from molecules

WenZhuo Wu, XuanYang Lai, Wei Quan and XiaoJun Liu

Signature of non-dipole effect in XUV-NIR transient wave-mixing spectroscopy

Yu Zhang, Yueming Zhou, Peixiang Lu and Wei Cao

Analytical expression for continuum–continuum transition amplitude of hydrogen-like atoms with angular-momentum dependence

J B Ji, K Ueda, M Han and H J Wörner

Strong field-induced quantum dynamics in atoms and small molecules

S Eckart

Machine Learning/AI

Journal of Physics D: Applied Physics

Real-time non-invasive quality screening of Yb-doped thin film electrodes using machine learning

Yi-Hsun Chang, Shu-Han Wu, Chih-Hao Lin, Yan-An Chen, Bo-Chang Dong, Cheng-Hao Cheng, Cheng-Han Li, Ming-Yi Lin* and Chun-Ying Huang

JPhys Photonics

Classification of SERS spectra for agrochemical detection using a neural network with engineered features

Mateo Frausto-Avila, Monserrat Ochoa-Elias, Jose Pablo Manriquez-Amavizca, María del Carmen González-López, Gonzalo Ramírez-García and Mario Alan Quiroz-Juárez

Journal of Optics

Transforming photonics: inverse design for optical cavity engineering

C M Cisowski, R Kilianski and R Bennett

Materials for Quantum Technology

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

G Landry and C Bradac

Nano Futures

Nanowire design by deep learning for energy efficient photonic technologies

Muhammad Usman

Machine Learning: Science and Technology

Efficient solving of Schrödinger equation using deep convolutional neural network model with an attention mechanism and transfer learning

Ziyi Zhao, Shishun Zhao, Mingjun Zhou and Yujun Yang

Domain-specific large language model for predicting band gap and formation energy of III-VIIIB and III-IVA nitrides based on fine-tuned GPT-3.5-turbo

Lin Hu and Guozhu Jia

Photonic indistinguishability characterization and optimization for cavity-based single-photon source

Miao Cai, Mingyuan Chen, Jiangshan Tang and Keyu Xia

Classical and Quantum Gravity

Can Transformers help us perform parameter estimation of overlapping signals in gravitational wave detectors?

Lucia Papalini, Federico De Santi, Massimiliano Razzano, Ik Siong Heng and Elena Cuoco

Neural network time-series classifiers for gravitational-wave searches in single-detector periods

A Trovato, E Chassande-Mottin, M Bejger, R Flamary and N Courty

GSpyNetTree: a signal-vs-glitch classifier for gravitational-wave event candidates

Sofía Álvarez-López, Annudesh Liyanage, Julian Ding, Raymond Ng and Jess McIver

Journal of Physics: Complexity

A reinforcement learning-enhanced meta-heuristic framework for network dismantling

Min Wu, Wu Shi, Fengwei Guo, Bitao Dai, Jianhong Mou, Suoyi Tan, Xin Lu and Chaomin Ou

Dynamical patterns of EEG connectivity unveil Parkinson’s disease progression: insights from machine learning analysis

Caroline L Alves, Loriz Francisco Sallum, Francisco Aparecido Rodrigues, Thaise G L de O Toutain, Patrícia Maria de Carvalho Aguiar and Michael Moeckel

Advancing fake news detection with graph neural network and deep learning

Haji Gul, Feras Al-Obeidat, Muhammad Wasim, Adnan Amin and Fernando Moreira

Journal of Physics B: Atomic, Molecular and Optical Physics

A data-driven machine learning approach for electron-molecule ionization cross sections

A L Harris and J Nepomuceno

Specialising neural-network quantum states for the Bose Hubbard model

Michael Y Pei and Stephen R Clark

Machine Learning: Earth

The AI Weather Quest: an international competition for sub-seasonal forecasting with AI

Olga Loegel, Joshua Talib, Frederic Vitart, Jörn Hoffmann and Matthew Chantry

The need of explainability in low-carbon urban system design using AI: A systematic review

Tong Chen and Ramit Debnath

Physics informed neural networks for maritime energy systems and blue economy innovations

Joseph Nyangon

Machine Learning: Health

Generalizable deep learning for photoplethysmography-based blood pressure estimation—A benchmarking study

Mohammad Moulaeifard, Peter H Charlton and Nils Strodthoff

Raising the standard: an open source benchmarking platform and data repository to accelerate myoelectric control research

Ethan Eddy, Evan Campbell, Christian Morrell, Heather Williams, Scott Bateman and Erik Scheme

A hybrid deployment model for generative artificial intelligence in hospitals

Maxime Griot, Coralie Hemptinne, Jean Vanderdonckt and Demet Yuksel

Machine Learning: Engineering

Engineering artificial intelligence: framework, challenges, and future direction

Jay Lee, Hanqi Su, Dai-Yan Ji and Takanobu Minami

Structural design and optimization of deployable protective wall using machine learning-based surrogate models for blast and impact resistance

Daniela F Tellkamp, Nayeon Lee, Gehendra Sharma, Sungkwang Mun, Daniel Johnson and Luke Peterson

Understanding interpretable patterns of Shapley behaviours in materials data

Tommy Liu and Amanda S Barnard