Papers citing Emerging role of machine learning in light-matter interaction
Lanthanide Photonics: Shaping the Nanoworld
Trends in Chemistry · 2019
Jean‐Claude G. Bünzli
Read original paper ↗ ·Ce doping TiO2/halloysite nanotubes photocatalyst for enhanced electrons transfer and photocatalytic degradation of Tetracycline
Journal of Materials Science Materials in Electronics · 2019
Huiqin Wang, Dongyao Wu, Xin Li, Pengwei Huo
Read original paper ↗ ·Optimization of an H0 photonic crystal nanocavity using machine learning
Optics Letters · 2019
Ryotaro Abe, Taichi Takeda, Ryo Shiratori, Shinichi Shirakawa, Shota Saito, Toshihiko Baba
Read original paper ↗ ·Deep learning: a new tool for photonic nanostructure design
Nanoscale Advances · 2020
Ravi S. Hegde
Read original paper ↗ ·Single-particle spectroscopy for functional nanomaterials
Nature · 2020
Jiajia Zhou, Alexey I. Chizhik, Steven Chu, Dayong Jin
Read original paper ↗ ·Inverse design of all-dielectric parallel-plane mirror optical resonator
Photonics and Nanostructures - Fundamentals and Applications · 2020
Mediha Tutgun, Döne Yılmaz, Aydan Yeltik, Mırbek Turduev, Hamza Kurt
Read original paper ↗ ·High‐contrast optical microscopy of graphene sheets
Microscopy Research and Technique · 2020
Mohammad Reza Rashidian Vaziri
Read original paper ↗ ·Nanophotonic Structural Colors
ACS Photonics · 2020
Soroosh Daqiqeh Rezaei, Zhaogang Dong, John You En Chan, Jonathan Trisno, Ray Jia Hong Ng, Qifeng Ruan, Cheng‐Wei Qiu, N. Asger Mortensen, Joel K. W. Yang
Read original paper ↗ ·Artificial intelligence for photonics and photonic materials
Reports on Progress in Physics · 2020
Davide Piccinotti, Kevin F. MacDonald, Simon A. Gregory, Ian J. Youngs, Nikolay I. Zheludev
Read original paper ↗ ·Advances and challenges for fluorescence nanothermometry
Nature Methods · 2020
Jiajia Zhou, Blanca del Rosal, Daniel Jaque, Seiichi Uchiyama, Dayong Jin
Read original paper ↗ ·Optical microscopy to study single nanoparticles electrochemistry: From reaction to motion
Current Opinion in Electrochemistry · 2020
Jean‐Marc Noël, Jean‐François Lemineur
Read original paper ↗ ·Machine learning and applications in ultrafast photonics
Nature Photonics · 2020
Goëry Genty, Lauri Salmela, John M. Dudley, Daniel Brunner, Alexey Y. Kokhanovskiy, Sergey M Kobtsev, Sergei Konstantinovich Turitsyn
Read original paper ↗ ·Decoding Optical Data with Machine Learning
Laser & Photonics Review · 2020
Jie Fang, Anand Swain, Rohit Unni, Yuebing Zheng
Read original paper ↗ ·Foundations of a Fast, Data-Driven, Machine-Learned Simulator
arXiv (Cornell University) · 2021
J. Howard, Stephan Mandt, Daniel Whiteson, Yibo Yang
Read original paper ↗ ·Plasmonic Mid-Infrared Filter Array-Detector Array Chemical Classifier Based on Machine Learning
ACS Photonics · 2021
Jiajun Meng, Jasper J. Cadusch, Kenneth B. Crozier
Read original paper ↗ ·Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments
Machine Learning Science and Technology · 2021
Matthew F. Praeger, Yunhui Xie, James A. Grant‐Jacob, Robert W. Eason, Ben Mills
Read original paper ↗ ·A free-running dual-comb spectrometer with intelligent temporal alignment algorithm
Optics & Laser Technology · 2021
Qiuquan Yan, Yiming Li, Jun Zhang, Xin Zheng, Dan Wu, Ke Yin, Tian Jiang
Read original paper ↗ ·Block Copolymer Directed Metamaterials and Metasurfaces for Novel Optical Devices
Advanced Optical Materials · 2021
Alberto Álvarez‐Fernández, Cian Cummins, Matthias Saba, Ullrich Steiner, Guillaume Fleury, Virginie Ponsinet, Stefan Guldin
Read original paper ↗ ·Highlighting photonics: looking into the next decade
eLight · 2021
Zhigang Chen, Mordechai Segev
Read original paper ↗ ·Perspective paper: Can machine learning become a universal method of laser photonics?
Optical Fiber Technology · 2021
Sergey M Kobtsev
Read original paper ↗ ·The principles of machine learning algorithms: Applications to biophotonics and disease
Elsevier eBooks · 2021
Diana C. Sordillo, Laura A. Sordillo
Read original paper ↗ ·Intelligent designs in nanophotonics: from optimization towards inverse creation
PhotoniX · 2021
Ning Wang, Wei Yan, Yurui Qu, Siqi Ma, Stan Ziqing Li, Min Qiu
Read original paper ↗ ·Nanophotonics-enabled optical data storage in the age of machine learning
APL Photonics · 2021
Simone Lamon, Qiming Zhang, Miṅ Gu
Read original paper ↗ ·Quantum computing enhanced machine learning for physico-chemical applications
arXiv (Cornell University) · 2021
Manas Sajjan, Junxu Li, Raja Selvarajan, Shree Hari Sureshbabu, Sumit Suresh Kale, Rishabh Gupta, Sabre Kais
Read original paper ↗ ·General Inverse Design of Layered Thin-Film Materials with Convolutional Neural Networks
ACS Photonics · 2021
Andrew R. Lininger, Michael Hinczewski, Giuseppe Strangi
Read original paper ↗ ·A learning based approach for designing extended unit cell metagratings
Nanophotonics · 2021
Soumyashree Soumyaprakash Panda, Ravi S. Hegde
Read original paper ↗ ·A Review and Perspective on the Main Machine Learning Methods Applied to Physical Sciences
Acta Polytechnica Hungarica · 2022
Iris Iddaly Méndez-Gurrola, Abdiel Ramírez-Reyes, Alejandro Israel Barranco Gutiérrez
Read original paper ↗ ·Performance Analysis of Optical Arithmetic Circuit Using Artificial Neural Network
Lecture notes in electrical engineering · 2022
Dilip Kumar Gayen
Read original paper ↗ ·Towards integrated mode-division demultiplexing spectrometer by deep learning
Opto-Electronic Science · 2022
Ze-Huan Zheng, Sheng‐ke Zhu, Ying Chen, Huanyang Chen, Jinhui Chen
Read original paper ↗ ·Artificial Neural Network Modelling for Optimizing the Optical Parameters of Plasmonic Paired Nanostructures
Nanomaterials · 2022
Sneha Verma, Sunny Chugh, Souvik Ghosh, B. M. A. Rahman
Read original paper ↗ ·Rare-Earth Doping in Nanostructured Inorganic Materials
Chemical Reviews · 2022
Bingzhu Zheng, Jingyue Fan, Bing Chen, Xian Qin, Juan Wang, Feng Wang, Renren Deng, Xiaogang Liu
Read original paper ↗ ·Prediction of nature of band gap of perovskite oxides (ABO3) using a machine learning approach
Journal of Materiomics · 2022
G. Sudha Priyanga, Manoj N. Mattur, N. Nagappan, Smarak Rath, Tiju Thomas
Read original paper ↗ ·Chirality in Light–Matter Interaction
Advanced Materials · 2022
Andrew R. Lininger, Giovanna Palermo, Alexa Guglielmelli, Giuseppe Nicoletta, Madhav Goel, Michael Hinczewski, Giuseppe Strangi
Read original paper ↗ ·Learning to simulate high energy particle collisions from unlabeled data
Scientific Reports · 2022
J. Howard, Stephan Mandt, Daniel Whiteson, Yibo Yang
Read original paper ↗ ·Flexible modulations on selectivity of syngas formation via CO2 reduction on atomic catalysts
Nano Energy · 2022
Mingzi Sun, Bolong Huang
Read original paper ↗ ·Ultraspectral Imaging Based on Metasurfaces with Freeform Shaped Meta‐Atoms
Laser & Photonics Review · 2022
Jiawei Yang, Kaiyu Cui, Xusheng Cai, Jian Xiong, Hongbo Zhu, Shijie Rao, Sheng Ming Xu, Yidong Huang, Fang Liu, Xue Feng, Wei Zhang
Read original paper ↗ ·Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning
ACS Nano · 2022
Hongfeng Ma, Nicolas Dalloz, Amaury Habrard, Marc Sebban, Florian Sterl, Harald W. Giessen, Mathieu Hébert, Nathalie Destouches
Read original paper ↗ ·Luminescent lanthanide coordination compounds as potential mitochondria-targeting probes: Molecular engineering to bioimaging
Dyes and Pigments · 2022
M. L. P. Reddy, K. S. Bejoymohandas, V. Divya
Read original paper ↗ ·Improving Teacher Competence in Designing Project-Based Learning Models Through Workshops in The First Semester of the 2018/2019 Academic Year (Madrasah Tsanawiyah Negeri Analysis Study 06 Kerinci)
al-fikrah Jurnal Manajemen Pendidikan · 2022
Tistiarni Tistiarni, Refika Mastanora, Oktri Permata Lani
Read original paper ↗ ·Machine learning-based discovery of vibrationally stable materials
npj Computational Materials · 2023
Sherif Abdulkader Tawfik, Mahad Rashid, Sunil Gupta, Salvy P. Russo, Tiffany R. Walsh, Svetha Venkatesh
Read original paper ↗ ·Optical Encoding Model Based on Orbital Angular Momentum Powered by Machine Learning
Sensors · 2023
Erick Lamilla, Christian Sacarelo, Manuel S. Alvarez‐Alvarado, Arturo Pazmiño, Peter Iza
Read original paper ↗ ·Review: 2D material property characterizations by machine-learning-assisted microscopies
Applied Physics A · 2023
Zhizhong Si, Daming Zhou, Jianlei Yang, Xiaoyang Lin
Read original paper ↗ ·Learning and Predicting Photonic Responses of Plasmonic Nanoparticle Assemblies via Dual Variational Autoencoders
Small · 2023
Muammer Y. Yaman, Sergei V. Kalinin, Kathryn N. Guye, David S. Ginger, Maxim A Ziatdinov
Read original paper ↗ ·Luminescent lanthanide molecular materials as potential probes for the recognition of toxic and biologically important cations
Dyes and Pigments · 2023
M. L. P. Reddy, V. Divya, K. S. Bejoymohandas
Read original paper ↗ ·Lithium-ion battery thermal management via advanced cooling parameters: State-of-the-art review on application of machine learning with exergy, economic and environmental analysis
Journal of the Taiwan Institute of Chemical Engineers · 2023
Seyed Masoud Parsa, Fatemeh Norozpour, Shahin Shoeibi, Amin Shahsavar, Sadegh Aberoumand, Masoud Afrand, Zafar Said, Nader Karimi
Read original paper ↗ ·Phase transitions of the anisotropic Dicke model
Physical Review A · 2023
Pragna Das, Devendra Singh Bhakuni, Auditya Sharma
Read original paper ↗ ·Machine learning reduces soft costs for residential solar photovoltaics
Scientific Reports · 2023
Changgui Dong, Gregory F. Nemet, Xue Ping Gao, Galen L Barbose, Ben Sigrin, Eric O’Shaughnessy
Read original paper ↗ ·Where are the outcrops? Automatic delineation of bedrock from sediments using Deep-Learning techniques
Applied Computing and Geosciences · 2023
Alexandra Jarna Ganerød, Vegar Bakkestuen, Martina Calovi, Ola Fredin, Jan Ketil Rød
Read original paper ↗ ·Nanostructured surface plasmon resonance sensors: Toward narrow linewidths
Heliyon · 2023
Kang Yang, Yan Chen, Sen Yan, Wen‐Xing Yang
Read original paper ↗ ·Performance Optimization Engineering of Multicomponent Absorbing Materials Based on Machine Learning
ACS Applied Materials & Interfaces · 2023
Yuhao Liu, Xiaoxiao Huang, Xu Yan, Tao Zhang, Jiahao Sun, Yanan Liu
Read original paper ↗ ·