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Nanomaterials (Basel, Switzerland)|October 15, 2025
Machine Learning-Driven Design of Fluorescent Materials: Principles, Methodologies, and Future DirectionsQihang Bian, Xiangfu WangApplied Optics|March 17, 2026
Propagation of long-distance Bessel beams and its application to optical imaging in turbid seawaterQihang Bian, Zhixian Ang, Yikun Liu, et al.Optics Letters|August 15, 2025
Coherent network-driven rotationally symmetric stacked metasurfaces for arbitrary polarization compatibility: bridging polarization optics and quantum communicationXiaocheng Gu, Xiangfu WangOptics Letters|November 18, 2011
Ultraviolet and infrared photon-excited synergistic effect in Er3+-doped YbF3 phosphorsXiangfu Wang, Xiaohong YanPhysical Chemistry Chemical Physics : PCCP|February 7, 2023
Modeling Monte Carlo simulation on photon regeneration effects of perovskite FAPbI3 for photovoltaic applicationsHengbin Xu, Xiangfu WangOptics Express|June 14, 2025
All-optical logic gates based on three-dimensional asymmetry modulation: from coherent absorption to dynamic key mapping encryptionXiaocheng Gu, Xiangfu WangNanomaterials (Basel, Switzerland)|June 11, 2025
Prediction of Thermal and Optical Properties of Oxyfluoride Glasses Based on Interpretable Machine LearningYuhao Xie, Xiangfu WangSensors (Basel, Switzerland)|June 19, 2024
Enhancing Linearity of Light Response in Avalanche Photodiodes by Suppressing Electrode Size EffectHongyi Gan, Junwen Yu, Xiangfu WangSensors (Basel, Switzerland)|June 12, 2026
Prediction of Spectral Parameters in Er3+, Dy3+ and Nd3+ Doped Oxide Glasses via cGAN-Enhanced Hybrid ModelingLiumiao Xie, Hengxin Yang, Xiangfu WangNanomaterials (Basel, Switzerland)|April 27, 2026
Prediction of Composite Supercapacitor Performance Through Combining Machine Learning with Novel Binder-Related FeaturesTianshun Gong, Weiyang Yu, Xiangfu WangPageof 6