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Results in Physics, 2022, 34, 105268
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Machine learning and its applications for plasmonics in biology
Gwiyeong Moon, Jongha Lee, Hyunwoong Lee, Hajun Yoo, Kwanhwi Ko, Seongmin Im and Donghyun Kim
Cell Reports Physical Science, 2022, 3, 101042
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Deep neural network assisted investigation of Tamm plasmon polaritons under simultaneous bidirectional excitation
Naseeb Abdu Taikkaden, Binu Jose A, Pranesh Das and Anirban Sarkar
Eng. Res. Express, 2026, 8, 025212
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Advancements in Grating Nanostructure Based Plasmonic Sensors in Last Two Decades: A Review
Ankit Kumar Pandey and Anuj Kumar Sharma
IEEE Sensors J., 2021, 21, 12633
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Perspectives on Theoretical Models and Molecular Simulations of Polymer Brushes
Yijing Tang, Yonglan Liu, Dong Zhang and Jie Zheng
Langmuir, 2024, 40, 1487
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Artificial Intelligence-Powered Surface-Enhanced Raman Spectroscopy for Biomedical Applications
Xinyuan Bi, Xiyue Ai, Zongyu Wu, Linley Li Lin, Zhou Chen and Jian Ye
Anal. Chem., 2025, 97, 6826
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Machine-Learned Decision Trees for Predicting Gold Nanorod Sizes from Spectra
Katsuya Shiratori, Logan D. C. Bishop, Behnaz Ostovar, Rashad Baiyasi, Yi-Yu Cai, Peter J. Rossky, Christy F. Landes and Stephan Link
J. Phys. Chem. C, 2021, 125, 19353
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The impact of domain-driven and data-driven feature selection on the inverse design of nanoparticle catalysts
Sichao Li, Jonathan Y.C. Ting and Amanda S. Barnard
Journal of Computational Science, 2022, 65, 101896
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Nanostructures in Organic Light‐Emitting Diodes: Principles and Recent Advances in the Light Extraction Strategy
Kyungnam Kang, Inseop Byeon, Young Gu Kim, Jong‐ryul Choi and Donghyun Kim
Laser & Photonics Reviews, 2024, 18
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Generalizable Metamaterials Design Techniques Inspire Efficient Mycelial Materials Inverse Design
Joseph Zavorskas, Harley Edwards, Mark R. Marten, Steven Harris and Ranjan Srivastava
ACS Biomater. Sci. Eng., 2025, 11, 1897
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Predicting the Critical Dimensions of Micron and Sub-micron Structures Using Joint Training Models and Electromagnetic Simulation Tools
Jia-Wei Li, Chong-Han Hsu, Jiao-Kai Wang, Bo-En Tsai, Eugene Su and Chao-Ching Ho
Int. J. Precis. Eng. Manuf., 2024, 25, 1773
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Prediction multimodal optical responses for ultrafast plasmonic based functional universal approximation theorem with exponential data efficiency
Yulu Qin, Haoyang Cheng, Haixia Zheng, Hanmin Hu and Xiaolong Zhou
Opt. Express, 2025, 33, 43428
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Deep neural network for designing near- and far-field properties in plasmonic antennas
Qingxin Wu, Xiaozhong Li, Li Jiang, Xiao Xu, Dong Fang, Jingjing Zhang, Chunyuan Song, Zongfu Yu, Lianhui Wang and Li Gao
Opt. Mater. Express, 2021, 11, 1907
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Analytical Modeling Based on Modified Effective Medium Theories for Optical Properties of Photovoltaic Material-Incorporated Plasmonic Nanoparticles
Zahra Arefinia
Plasmonics, 2020, 15, 1661
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Machine Learning-Enabled Repurposing and Design of Antifouling Polymer Brushes
Yonglan Liu, Dong Zhang, Yijing Tang, Yanxian Zhang, Xiong Gong, Shaowen Xie and Jie Zheng
Chemical Engineering Journal, 2021, 420, 129872
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Inverse design of generic metasurfaces for multifunctional wavefront shaping based on deep neural networks
Jierong Cheng, Runze Li, Yu Wang, Yiwu Yuan, Xianghui Wang and Shengjiang Chang
Optics & Laser Technology, 2023, 159, 109038
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Predictions of resonant mode characteristics for terahertz quantum cascade lasers with distributed feedback utilizing machine learning
Ping Tang, Xiaomei Chi, Bo Chen and Chongzhao Wu
Opt. Express, 2021, 29, 15309
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Neural network enabled metasurface design for phase manipulation
Li Jiang, Xiaozhong Li, Qingxin Wu, Lianhui Wang and Li Gao
Opt. Express, 2021, 29, 2521
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