Papers citing Machine learning on neutron and x-ray scattering and spectroscopies
Application and prospect of machine learning in photoelectron spectroscopy
Acta Physica Sinica · 2024-01-01
Xiangwen Deng, Liyuan Wu, Rui Zhao, Jiaou Wang, Lina Zhao
Read original paper ↗ ·Machine learning for analyzing atomic force microscopy (AFM) images generated from polymer blends
Digital Discovery · 2024-01-01
Aanish Paruchuri, Yunfei Wang, Xiaodan Gu, Arthi Jayaraman
Read original paper ↗ ·MLstructureMining: a machine learning tool for structure identification from X-ray pair distribution functions
Digital Discovery · 2024-01-01
Emil T. S. Kjær, Andy S. Anker, Andrea Kirsch, Joakim Lajer, Olivia Aalling‐Frederiksen, Simon J. L. Billinge, Kirsten M. Ø. Jensen
Read original paper ↗ ·Multi-task scattering-model classification and parameter regression of nanostructures from small-angle scattering data
Digital Discovery · 2024-01-01
Batuhan Yildirim, James Doutch, Jacqueline M. Cole
Read original paper ↗ ·Partial density of states representation for accurate deep neural network predictions of X-ray spectra
Physical Chemistry Chemical Physics · 2024-01-01
Clelia Middleton, Basile F. E. Curchod, Thomas J. Penfold
Read original paper ↗ ·Multicode benchmark on simulated Ti K-edge x-ray absorption spectra of Ti-O compounds
Physical Review Materials · 2024-01-11
Fanchen Meng, Benedikt Maurer, Fabian Peschel, Sencer Selçuk, Mark S. Hybertsen, Xiaohui Qu, Christian Vorwerk, Claudia Draxl, John Vinson, Deyu Lu
Read original paper ↗ ·Machine learning in neutron scattering data analysis
Journal of Radiation Research and Applied Sciences · 2024-02-28
Hao Wang, Rong Du, Zhiyong Liu, Junrong Zhang
Read original paper ↗ ·DLSIA: Deep Learning for Scientific Image Analysis
Journal of Applied Crystallography · 2024-03-01
Eric J. Roberts, Tanny Chávez, Alexander Hexemer, Petrus H. Zwart
Read original paper ↗ ·Robust Machine Learning Inference from X-ray Absorption Near Edge Spectra through Featurization
Chemistry of Materials · 2024-03-01
Yiming Chen, Chi Chen, Inhui Hwang, Michael J. Davis, Wanli Yang, Cheng‐Jun Sun, Gi‐Hyeok Lee, Dylan McReynolds, Daniel Allan, Juan Marulanda Arias, Shyue Ping Ong, Maria K. Y. Chan
Read original paper ↗ ·Machine learning for analyses and automation of structural characterization of polymer materials
Progress in Polymer Science · 2024-05-03
Shizhao Lu, Arthi Jayaraman
Read original paper ↗ ·Symmetry breaking in 2D materials for optimizing second-harmonic generation
Journal of Physics D Applied Physics · 2024-05-13
Nguyen Tuan Hung, Thanh Nguyen, Vuong Van Thanh, Sake Wang, Riichiro Saito, Mingda Li
Read original paper ↗ ·Machine-learning strategies for the accurate and efficient analysis of x-ray spectroscopy
Machine Learning Science and Technology · 2024-05-24
Thomas J. Penfold, Luke Watson, Clelia Middleton, Tudur Wyn David, Sneha Verma, Thomas J. Pope, Julia Kaczmarek, Conor D. Rankine
Read original paper ↗ ·Retrieving genuine nonlinear Raman responses in ultrafast spectroscopy via deep learning
APL Photonics · 2024-06-01
Giuseppe Fumero, Giovanni Batignani, Edoardo Cassetta, Carino Ferrante, S. Giagu, T. Scopigno
Read original paper ↗ ·Complex profile metrology via physical symmetry enhanced small angle x-ray scattering
Journal of Applied Physics · 2024-06-11
Dawei Wang, Hongtao Liang, H. Yang, Hong Juan Yu
Read original paper ↗ ·Data-driven acceleration of multi-physics simulations
Machine Learning Science and Technology · 2024-08-29
Stefan Meinecke, Malte Selig, Felix Köster, Andreas Knorr, Kathy Lüdge
Read original paper ↗ ·Uncovering obscured phonon dynamics from powder inelastic neutron scattering using machine learning
Machine Learning Science and Technology · 2024-09-01
Yaokun Su, Chen W. Li
Read original paper ↗ ·Efficiency improvement of spin-resolved ARPES experiments using Gaussian process regression
Scientific Reports · 2024-09-23
Hideaki Iwasawa, Tetsuro Ueno, Takuma Iwata, Kenta Kuroda, К. А. Кох, Oleg Evgenievich Tereshchenko, K. Miyamoto, A. Kimura, Taichi Okuda
Read original paper ↗ ·Multi-scale correlation of impact-induced defects in carbon fiber composites using X-ray scattering and machine learning
Scientific Reports · 2024-10-17
A. Sexton, Heikki Suhonen, Mathias K. Huss‐Hansen, Hanna Demchenko, Jakob Kjelstrup‐Hansen, Matthias Schwartzkopf, Matti Knaapila
Read original paper ↗ ·Machine learning-driven image synthesis and analysis applications for inertial confinement fusion (invited)
Review of Scientific Instruments · 2024-12-01
Bradley T. Wolfe, P.-H. Chu, Nga T. T. Nguyen, Xinhua Zhang, Mariana Alvarado Alvarez, Zhehui Wang
Read original paper ↗ ·Exploring Quantum Materials with Resonant Inelastic X-Ray Scattering
Physical Review X · 2024-12-13
Matteo Mitrano, Steven Johnston, Young‐June Kim, M. P. M. Dean
Read original paper ↗ ·Uncertainty quantification and propagation in atomistic machine learning
Reviews in Chemical Engineering · 2024-12-30
Jin Dai, Santosh Adhikari, Mingjian Wen
Read original paper ↗ ·Accelerated small angle neutron scattering algorithms for polymeric materials
Soft Matter · 2025-01-01
Kexin Dai, Bradley D. Olsen
Read original paper ↗ ·Predicting neutron experiments from first principles: a workflow powered by machine learning
Journal of Materials Chemistry A · 2025-01-01
Eric Lindgren, Adam Jackson, Erik Fransson, Esmée Berger, Goran Škoro, Svemir Rudić, Rastislav Turányi, Sanghamitra Mukhopadhyay, Paul Erhart
Read original paper ↗ ·Toward high-gain laser-driven electron undulators
Optica · 2025-01-29
Amnon Balanov, Ron Ruimy, Ido E. Kaminer
Read original paper ↗ ·Unsupervised Machine Learning-Based Image Recognition of Raw Infrared Spectra: Toward Chemist-like Chemical Structural Classification and Beyond Numerical Data
Journal of Chemical Information and Modeling · 2025-03-20
Kentaro Fuku, Takefumi Yoshida
Read original paper ↗ ·Nuclear phase retrieval spectroscopy using resonant x-ray scattering
Nature Communications · 2025-03-31
Ziyang Yuan, Hongxia Wang, Zhiwei Li, Tao Wang, Huiqi Wang, Xin‐Chao Huang, Tian-Jun Li, Zi-Ru Ma, Lin‐Fan Zhu, Wei Xu, Yujun Zhang, Yu Chen, Ryo Masuda, Yoshitaka Yoda, Jianmin Yuan, Adriana Pálffy, Xiangjin Kong
Read original paper ↗ ·Unlocking hidden information in sparse small-angle neutron scattering measurements
Journal of Colloid and Interface Science · 2025-04-10
Chi-Huan Tung, Sidney Yip, Guan-Rong Huang, Lionel Porcar, Yuya Shinohara, Bobby G. Sumpter, Lijie Ding, Changwoo Do, Wei‐Ren Chen
Read original paper ↗ ·Vacuum chamber for deposition of gradient thin films: Toward high-throughput structure–property correlative studies
Review of Scientific Instruments · 2025-05-01
Dmitry A. Lapkin, Roody Nasro, Jakub Hagara, Bernd Hofferberth, Alexander Hinderhofer, Alexander Gerlach, Frank Schreiber
Read original paper ↗ ·Human-machine collaboration: Ordering mechanism of rank-2 spin liquid on breathing pyrochlore lattice
Physical Review Research · 2025-05-19
Nicolas Sadoune, Ke Liu, Han Yan, Ludovic D. C. Jaubert, Nic Shannon, Lode Pollet
Read original paper ↗ ·Autonomous Small-Angle Scattering for Accelerated Soft Material Formulation Optimization
Chemistry of Materials · 2025-06-06
Tyler B. Martin, Duncan R. Sutherland, Austin McDannald, Aaron Gilad Kusne, Peter A. Beaucage
Read original paper ↗ ·Recent Progress of Artificial Intelligence Application in Polymer Materials
Polymers · 2025-06-16
Teng Long, Qianqian Pang, Yanyan Deng, Xiteng Pang, Yixuan Zhang, Rui Yang, Chuanjian Zhou
Read original paper ↗ ·AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
Advanced Materials · 2025-06-23
Chenguang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Q. Cheng, Mingda Li
Read original paper ↗ ·Sparse-Data Deep Learning Strategies for Radiographic Non-Destructive Testing
Research in Nondestructive Evaluation · 2025-07-04
Jacqueline Alvarez, Keith A. Henderson, Maurice B. Aufderheide, Brian J. Gallagher, Roummel F. Marcia, Ming Feng Jiang
Read original paper ↗ ·CorFuncSAXSNet: deep-learning-driven extraction of nanostructural parameters from small-angle X-ray scattering data of polymeric materials
Journal of Applied Crystallography · 2025-07-07
Xuke Li, Lianlian Fu, Yunhang Liu, Xiao Meng, Ming Li, Peiling Ke
Read original paper ↗ ·High-speed x-ray reflectometry for characterization of thin film growth at high deposition rates
Physical review. B./Physical review. B · 2025-09-04
David Mareček, Andrew R. J. Nelson, Erwin Pfeiler, Maximilian Eder, Florian Bertram, Stefan Kowarik
Read original paper ↗ ·Artificial intelligence in non-medical and non-nuclear power applications of nuclear radiation: A review
Radiation Physics and Chemistry · 2025-10-01
Khalil Moshkbar-Bakhshayesh
Read original paper ↗ ·Hamiltonian parameter inference from resonant inelastic x-ray scattering with active learning
Physical review. B./Physical review. B · 2025-10-08
Márton Lájer, Xin Dai, Kipton M. Barros, Matthew R. Carbone, Steven Johnston, M. P. M. Dean
Read original paper ↗ ·Synchrotron Radiation for Quantum Technology
Advanced Functional Materials · 2025-10-22
O. Rader, S. Pascarelli, Klaus Attenkofer, Anna A. Makarova, K. Holldack, Kai Roßnagel, K. Temst, George Kourousias, Stefano Carretta, C. Biscari, H. Dosch
Read original paper ↗ ·Supercapacitor dynamics: Mechanisms, architectures, and advanced in-situ characterizations for next-generation energy storage
Coordination Chemistry Reviews · 2025-10-30
Yuan Fang, Jiang Zhou, Yusuke Yamauchi, Yiqiang Wu, Caichao Wan
Read original paper ↗ ·A planning tool for neutron powder diffraction experiments
Review of Scientific Instruments · 2025-11-01
Joseph A. M. Paddison, Stuart Calder, Danielle R. Yahne, Malcolm J. Cochran, Si Athena Chen, Matthias Frontzek, Yuanpeng Zhang
Read original paper ↗ ·Unraveling the Dynamics of Biological Systems through Neutron Scattering
Photon Science · 2025-11-10
Ling Guo, Xiang-qiang Chu
Read original paper ↗ ·Application of machine learning for nanodiamonds shape and surface classification based on X-ray pattern analysis
Scientific Reports · 2025-11-17
Kazimierz Skrobas, Kamila Stefańska‐Skrobas, S. Stelmakh, Stanislaw Gierlotka, Bogdan F. Palosz
Read original paper ↗ ·pathSQE : an automated workflow for single-crystal inelastic neutron scattering data processing and analysis
Journal of Applied Crystallography · 2025-12-18
Aiden Sable, Andrei T. Savici, Bander Linjawi, Olivier A. Delaire
Read original paper ↗ ·Pixels to properties
Elsevier eBooks · 2026-01-01
Krishna Rajan
Read original paper ↗ ·The Future of Polymer Science: Artificial Intelligence and Beyond
Engineering materials · 2026-01-01
Akshita, Devang Shukla, Rohit Verma, Tejendra Kumar Gupta, Deepshikha Gupta, Ravi Kant Choubey, Sunil Kumar, Vijay Kumar
Read original paper ↗ ·Comprehensive review of neutron techniques, detection, and dosimetry in science and technology
Discover Applied Sciences · 2026-01-24
Phannee Saengkaew, Kamontip Ploykrachang
Read original paper ↗ ·Perspectives of Machine Learning for Ligand-Field Analyses in Lanthanide-Based Single Molecule Magnets
Magnetochemistry · 2026-02-02
Zayan Ahsan Ali, Preeti Tewatia, O. Waldmann
Read original paper ↗ ·Robust Automatic EXAFS First-Shell Fits
Photon Science · 2026-02-11
Yanna Chen, Juanjuan Huang, Shelly D. Kelly
Read original paper ↗ ·Uncovering crystal structure evolution via nanobeam X-ray diffraction with a continuity-driven machine learning approach
Materials & Design · 2026-02-15
Z.Y. Wu, Tetsuya Tohei, Yusuke Hayashi, Shigeyoshi Usami, Masayuki Imanishi, Yusuke Mori, Junichi Takino, Kazushi Sumitani, Yasuhiko Imai, Shigeru Kimura, Akira Sakai
Read original paper ↗ ·Tissue-specific variation of softwood nanostructure revealed by scanning wide-angle X-ray scattering and clustering analysis
Cellulose · 2026-03-01
Patrik Ahvenainen, Enriqueta Noriega Benitez, Tuula Jyske, Mira Viljanen, Heikki Suhonen, Paavo A. Penttilä
Read original paper ↗ ·