1-20 of 195
Machine learning
Close
Save search
Follow your search
Access your saved searches in your account
Close Modal
Sort by
Journal Articles

Optical fractional topological spatial differentiation

Ding Yan, Yizhe Chen, Xiangwei Wang, Tong Qi, Wei Gao
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 151102 (2025)
https://doi.org/10.1063/5.0258152
Published: April 2025
View articletitled, Optical fractional topological spatial differentiation
Open the PDF for Optical fractional topological spatial differentiation in another window
Journal Articles

Rydberg communication antennas with self-decoupling for dynamic radar interference based on heterodyne technology

Ge Gao, Minze Chen, Haonan Feng, Zhiao Zhu, Aobei Chen, Zhonghuai Wu, Tianqi Mao, WeiDong Dai, Peng Peng, Dezhi Zheng
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 134002 (2025)
https://doi.org/10.1063/5.0257399
Published: April 2025
View articletitled, Rydberg communication antennas with self-decoupling for dynamic radar interference based on heterodyne technology
Open the PDF for Rydberg communication antennas with self-decoupling for dynamic radar interference based on heterodyne technology in another window
Journal Articles

First-principles and Monte Carlo simulations of high-entropy MXenes

Noah Oyeniran, Oyshee Chowdhury, Chongze Hu
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 123105 (2025)
https://doi.org/10.1063/5.0258487
Published: March 2025
View articletitled, First-principles and Monte Carlo simulations of high-entropy MXenes
Open the PDF for First-principles and Monte Carlo simulations of high-entropy MXenes in another window
Journal Articles

Deep learning-enabled gradient-based optimization of near-field enhancement in nano-plasmonic structures

Mohammadrahim Kazemzadeh, Giulio Mastrototaro, Massimo De Vittorio, Ferruccio Pisanello
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 101102 (2025)
https://doi.org/10.1063/5.0252572
Published: March 2025
View articletitled, Deep learning-enabled gradient-based optimization of near-field enhancement in nano-plasmonic structures
Open the PDF for Deep learning-enabled gradient-based optimization of near-field enhancement in nano-plasmonic structures in another window
Journal Articles

Visible light-driven synaptic transistors based on bilayer InGaZnO homojunction for neuromorphic computing

Editor’s Pick
Zezhong Yin, Liuyue Shan, Ranran Ci, Dandan Hao, Guangtan Miao, Likun Tian, Guoxia Liu, Fukai Shan
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 103302 (2025)
https://doi.org/10.1063/5.0256082
Published: March 2025
View articletitled, Visible light-driven synaptic transistors based on bilayer InGaZnO homojunction for neuromorphic computing
Open the PDF for Visible light-driven synaptic transistors based on bilayer InGaZnO homojunction for neuromorphic computing in another window
Journal Articles

A homogeneous plasmon-enhanced Raman biosensor integrated with LASSO and deep learning approach to advance label-free and rapid diagnosis of urolithiasis

Yixin Dai, Qiyu He, Chen Yang, Hong Li, Wenxue Li, Lin Pang
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 093702 (2025)
https://doi.org/10.1063/5.0245180
Published: March 2025
View articletitled, A homogeneous plasmon-enhanced Raman biosensor integrated with LASSO and deep learning approach to advance label-free and rapid diagnosis of urolithiasis
Open the PDF for A homogeneous plasmon-enhanced Raman biosensor integrated with LASSO and deep learning approach to advance label-free and rapid diagnosis of urolithiasis in another window
Journal Articles

A design of magnetic tunnel junctions for the deployment of neuromorphic hardware for edge computing

Featured
Davi Rodrigues, Eleonora Raimondo, Riccardo Tomasello, Mario Carpentieri, Giovanni Finocchio
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 092402 (2025)
https://doi.org/10.1063/5.0237090
Published: March 2025
View articletitled, A design of magnetic tunnel junctions for the deployment of neuromorphic hardware for edge computing
Open the PDF for A design of magnetic tunnel junctions for the deployment of neuromorphic hardware for edge computing in another window
Journal Articles

Improved spectral filtering of broadband diffractive neural network by loss function engineering

Editor’s Pick
Bolin Li, Guangrui Luan, Yinfei Zhu, Jinlei Fei, Min Gu, Jian Lin
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 081107 (2025)
https://doi.org/10.1063/5.0257384
Published: February 2025
View articletitled, Improved spectral filtering of broadband diffractive neural network by loss function engineering
Open the PDF for Improved spectral filtering of broadband diffractive neural network by loss function engineering in another window
Journal Articles

A deep convolutional neural network for diffuse correlation tomography

Jiaxin Liu, Jihui Wang, Yu Shang
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 083702 (2025)
https://doi.org/10.1063/5.0255686
Published: February 2025
View articletitled, A deep convolutional neural network for diffuse correlation tomography
Open the PDF for A deep convolutional neural network for diffuse correlation tomography in another window
Journal Articles

Gradient-based optimization of spintronic devices

Y. Imai, S. Liu, N. Akashi, K. Nakajima
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 082402 (2025)
https://doi.org/10.1063/5.0238687
Published: February 2025
View articletitled, Gradient-based optimization of spintronic devices
Open the PDF for Gradient-based optimization of spintronic devices in another window
Journal Articles

Prediction of toroidal dipole resonance in dielectric metasurface by deep learning

Yangyang Yu, Shaojun You, Ying Zhang, Lulu Wang, Hong Duan, Haoxuan He, Yiyuan Wang, Shengyun Luo, Jing Xu, Jing Huang, Chaobiao Zhou
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 071704 (2025)
https://doi.org/10.1063/5.0252353
Published: February 2025
View articletitled, Prediction of toroidal dipole resonance in dielectric metasurface by deep learning
Open the PDF for Prediction of toroidal dipole resonance in dielectric metasurface by deep learning in another window
Journal Articles

Accurate and real-time acoustic holography using super-resolution and physics combined deep learning

Chengxi Zhong, Zhenhuan Sun, Jiaqi Li, Yujie Jiang, Hu Su, Song Liu
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 054103 (2025)
https://doi.org/10.1063/5.0234327
Published: February 2025
View articletitled, Accurate and real-time acoustic holography using super-resolution and physics combined deep learning
Open the PDF for Accurate and real-time acoustic holography using super-resolution and physics combined deep learning in another window
Journal Articles

Thermal emission modulation of fabrication-friendly, free-form metasurfaces via explainable deep-learning Bayesian optimization

Jintao Chen, Zihan Zhang, Zhequn Huang, Kehang Cui
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 051703 (2025)
https://doi.org/10.1063/5.0250273
Published: February 2025
View articletitled, Thermal emission modulation of fabrication-friendly, free-form metasurfaces via explainable deep-learning Bayesian optimization
Open the PDF for Thermal emission modulation of fabrication-friendly, free-form metasurfaces via explainable deep-learning Bayesian optimization in another window
Journal Articles

Superionic conduit of alkaline earth metals confined by two-dimensional boron–carbon layers

Yang Lv, Jianfu Li, Zhaobin Zhang, Yanlei Geng, Yong Liu, Jianan Yuan, Qingyang Hu, Xiaoli Wang
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 052201 (2025)
https://doi.org/10.1063/5.0251023
Published: February 2025
View articletitled, Superionic conduit of alkaline earth metals confined by two-dimensional boron–carbon layers
Open the PDF for Superionic conduit of alkaline earth metals confined by two-dimensional boron–carbon layers in another window
Journal Articles

Transferable machine learning approach for predicting electronic structures of charged defects

Featured
Yuxing Ma, Hongyu Yu, Yang Zhong, Shiyou Chen, Xingao Gong, Hongjun Xiang
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 044103 (2025)
https://doi.org/10.1063/5.0242683
Published: January 2025
View articletitled, Transferable machine learning approach for predicting electronic structures of charged defects
Open the PDF for Transferable machine learning approach for predicting electronic structures of charged defects in another window
Journal Articles

Physics-informed genetic algorithms (PIGAs) facilitating LIBS spectral normalization with shockwave characteristics

Ying Zhou, Jian Wu, Mingxin Shi, Minxin Chen, Jinghui Li, Xinyu Guo, Yuhua Hang, Cuixiang Pei, Xingwen Li
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 034103 (2025)
https://doi.org/10.1063/5.0237618
Published: January 2025
View articletitled, Physics-informed genetic algorithms (PIGAs) facilitating LIBS spectral normalization with shockwave characteristics
Open the PDF for Physics-informed genetic algorithms (PIGAs) facilitating LIBS spectral normalization with shockwave characteristics in another window
Journal Articles

Design of spike-timing-dependent plasticity synapses based on CoPt-SOT device and its application in all-spin spiking neural network

Liu Yang, Shuguang Zhang, Likun Qian, Ying Tao, Fang Jin, Huihui Li, Zhe Guo, RuJun Tang, Kaifeng Dong
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 022408 (2025)
https://doi.org/10.1063/5.0245481
Published: January 2025
View articletitled, Design of spike-timing-dependent plasticity synapses based on CoPt-SOT device and its application in all-spin spiking neural network
Open the PDF for Design of spike-timing-dependent plasticity synapses based on CoPt-SOT device and its application in all-spin spiking neural network in another window
Journal Articles

Efficient optical trapping force tuning for cusp-catastrophe autofocusing beams using deep neural networks

Xiaofang Lu, Peiyu Zhang, Haixia Wu, Jiahao Yu, Ping Chen, Bingsuo Zou, Peilong Hong, Yu-Xuan Ren, Yi Liang
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 021104 (2025)
https://doi.org/10.1063/5.0241264
Published: January 2025
View articletitled, Efficient optical trapping force tuning for cusp-catastrophe autofocusing beams using deep neural networks
Open the PDF for Efficient optical trapping force tuning for cusp-catastrophe autofocusing beams using deep neural networks in another window
Journal Articles

Optoelectronic synapse based on the Bi2O2Se/Cs3Cu2I5 heterojunction for neuromorphic computing

Featured
Jinwen Lin, Bin Li, Zheng Yin, Sicheng Wan, Yao Meng, Hong Zhou, Fangliang Gao, Shuti Li, Yong Zhang, Qingbing Zha, Jinhua Li, Said Nasir Khisro, Xinman Chen
Journal: Applied Physics Letters
Appl. Phys. Lett. 126, 013502 (2025)
https://doi.org/10.1063/5.0236853
Published: January 2025
View articletitled, Optoelectronic synapse based on the Bi2O2Se/Cs3Cu2I5 heterojunction for neuromorphic computing
Open the PDF for Optoelectronic synapse based on the Bi2O2Se/Cs3Cu2I5 heterojunction for neuromorphic computing in another window
Journal Articles

Characterizing nonlinear piezoelectric dynamics through deep neural operator learning

Abhishek Chandra, Taniya Kapoor, Mitrofan Curti, Koen Tiels, Elena A. Lomonova
Journal: Applied Physics Letters
Appl. Phys. Lett. 125, 262902 (2024)
https://doi.org/10.1063/5.0239160
Published: December 2024
View articletitled, Characterizing nonlinear piezoelectric dynamics through deep neural operator learning
Open the PDF for Characterizing nonlinear piezoelectric dynamics through deep neural operator learning in another window