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Journal Articles

Deep photonic reservoir computer for nonlinear equalization of 16-level quadrature amplitude modulation signals

Open Access
Rui-Qian Li, Yi-Wei Shen, Zekun Niu, Guozhi Xu, Jingyi Yu, Xuming He, Lilin Yi, Cheng Wang
Journal: APL Machine Learning
APL Mach. Learn. 3, 026113 (2025)
https://doi.org/10.1063/5.0253655
Published: June 2025
View articletitled, Deep photonic reservoir computer for nonlinear equalization of 16-level quadrature amplitude modulation signals
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Journal Articles

Symmetry constrained neural networks for detection and localization of damage in metal plates

Open Access
James Amarel, Christopher Rudolf, Athanasios Iliopoulos, John G. Michopoulos, Leslie N. Smith
Journal: APL Machine Learning
APL Mach. Learn. 3, 026106 (2025)
https://doi.org/10.1063/5.0242345
Published: April 2025
View articletitled, Symmetry constrained neural networks for detection and localization of damage in metal plates
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Journal Articles

CoNO: Complex neural operator for continous dynamical physical systems

FeaturedOpen Access
Karn Tiwari, N. M. Anoop Krishnan, Prathosh A. P.
Journal: APL Machine Learning
APL Mach. Learn. 3, 026101 (2025)
https://doi.org/10.1063/5.0254013
Published: April 2025
View articletitled, CoNO: Complex neural operator for continous dynamical physical systems
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Journal Articles

Efficiency of machine learning optimizers and meta-optimization for nanophotonic inverse design tasks

Open Access
Nathaniel Morrison, Eric Y. Ma
Journal: APL Machine Learning
APL Mach. Learn. 3, 016101 (2025)
https://doi.org/10.1063/5.0238444
Published: January 2025
View articletitled, Efficiency of machine learning optimizers and meta-optimization for nanophotonic inverse design tasks
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Journal Articles

Dreaming of electrical waves: Generative modeling of cardiac excitation waves using diffusion models

Open Access
Tanish Baranwal, Jan Lebert, Jan Christoph
Journal: APL Machine Learning
APL Mach. Learn. 2, 036113 (2024)
https://doi.org/10.1063/5.0194391
Published: September 2024
View articletitled, Dreaming of electrical waves: Generative modeling of cardiac excitation waves using diffusion models
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Journal Articles

3D–2D neural nets for phase retrieval in noisy interferometric imaging

Open Access
Andrew H. Proppe, Guillaume Thekkadath, Duncan England, Philip J. Bustard, Frédéric Bouchard, Jeff S. Lundeen, Benjamin J. Sussman
Journal: APL Machine Learning
APL Mach. Learn. 2, 036110 (2024)
https://doi.org/10.1063/5.0204212
Published: September 2024
View articletitled, 3D–2D neural nets for phase retrieval in noisy interferometric imaging
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Journal Articles

Waveform retrieval for ultrafast applications based on convolutional neural networks

Open Access
Najd Altwaijry, Ryan Coffee, Matthias F. Kling
Journal: APL Machine Learning
APL Mach. Learn. 2, 026124 (2024)
https://doi.org/10.1063/5.0173933
Published: June 2024
View articletitled, Waveform retrieval for ultrafast applications based on convolutional neural networks
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Journal Articles

AlGaN/GaN MOS-HEMT enabled optoelectronic artificial synaptic devices for neuromorphic computing

Editor’s PickOpen Access
Jiaxiang Chen, Haitao Du, Haolan Qu, Han Gao, Yitian Gu, Yitai Zhu, Wenbo Ye, Jun Zou, Hongzhi Wang, Xinbo Zou
Journal: APL Machine Learning
APL Mach. Learn. 2, 026113 (2024)
https://doi.org/10.1063/5.0194083
Published: April 2024
View articletitled, AlGaN/GaN MOS-HEMT enabled optoelectronic artificial synaptic devices for neuromorphic computing
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Includes: Supplementary data
Journal Articles

Random forests for detecting weak signals and extracting physical information: A case study of magnetic navigation

Open Access
Mohammadamin Moradi, Zheng-Meng Zhai, Aaron Nielsen, Ying-Cheng Lai
Journal: APL Machine Learning
APL Mach. Learn. 2, 016118 (2024)
https://doi.org/10.1063/5.0189564
Published: March 2024
View articletitled, Random forests for detecting weak signals and extracting physical information: A case study of magnetic navigation
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Journal Articles

Physics-agnostic inverse design using transfer matrices

Open Access
Nathaniel Morrison, Shuaiwei Pan, Eric Y. Ma
Journal: APL Machine Learning
APL Mach. Learn. 2, 016115 (2024)
https://doi.org/10.1063/5.0179457
Published: February 2024
View articletitled, Physics-agnostic inverse design using transfer matrices
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Includes: Supplementary data
Journal Articles

Contextual beamforming: Exploiting location and AI for enhanced wireless telecommunication performance

Open Access
Jaspreet Kaur, Satyam Bhatti, Kang Tan, Olaoluwa R. Popoola, Muhammad Ali Imran, Rami Ghannam, Qammer H. Abbasi, Hasan T. Abbas
Journal: APL Machine Learning
APL Mach. Learn. 2, 016113 (2024)
https://doi.org/10.1063/5.0176422
Published: February 2024
View articletitled, Contextual beamforming: Exploiting location and AI for enhanced wireless telecommunication performance
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Journal Articles

Noise tailoring, noise annealing, and external perturbation injection strategies in memristive Hopfield neural networks

Open Access
János Gergő Fehérvári, Zoltán Balogh, Tímea Nóra Török, András Halbritter
Journal: APL Machine Learning
APL Mach. Learn. 2, 016107 (2024)
https://doi.org/10.1063/5.0173662
Published: January 2024
View articletitled, Noise tailoring, noise annealing, and external perturbation injection strategies in memristive Hopfield neural networks
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Journal Articles

Attention hybrid variational net for accelerated MRI reconstruction

Open Access
Guoyao Shen, Boran Hao, Mengyu Li, Chad W. Farris, Ioannis Ch. Paschalidis, Stephan W. Anderson, Xin Zhang
Journal: APL Machine Learning
APL Mach. Learn. 1, 046116 (2023)
https://doi.org/10.1063/5.0165485
Published: December 2023
View articletitled, Attention hybrid variational net for accelerated MRI reconstruction
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Journal Articles

Experimental realization of a quantum classification: Bell state measurement via machine learning

Open Access
Qing-Yuan Wu, Zhe Meng, Xiao-Xiao Chen, Jian Li, Jia-Zhi Yang, An-Ning Zhang
Journal: APL Machine Learning
APL Mach. Learn. 1, 036111 (2023)
https://doi.org/10.1063/5.0149414
Published: September 2023
View articletitled, Experimental realization of a quantum classification: Bell state measurement via machine learning
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Journal Articles

Classification of multi-frequency RF signals by extreme learning, using magnetic tunnel junctions as neurons and synapses

ScilightOpen Access
Nathan Leroux, Danijela Marković, Dédalo Sanz-Hernández, Juan Trastoy, Paolo Bortolotti, Alejandro Schulman, Luana Benetti, Alex Jenkins, Ricardo Ferreira, Julie Grollier, Frank Alice Mizrahi
Journal: APL Machine Learning
APL Mach. Learn. 1, 036109 (2023)
https://doi.org/10.1063/5.0155447
Published: August 2023
View articletitled, Classification of multi-frequency RF signals by extreme learning, using magnetic tunnel junctions as neurons and synapses
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Includes: Supplementary data
Journal Articles

Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation

Open Access
Adam N. McCaughan, Bakhrom G. Oripov, Natesh Ganesh, Sae Woo Nam, Andrew Dienstfrey, Sonia M. Buckley
Journal: APL Machine Learning
APL Mach. Learn. 1, 026118 (2023)
https://doi.org/10.1063/5.0157645
Published: June 2023
View articletitled, Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation
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Journal Articles

AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks

Open Access
Vivswan Shah, Nathan Youngblood
Journal: APL Machine Learning
APL Mach. Learn. 1, 026116 (2023)
https://doi.org/10.1063/5.0134156
Published: June 2023
View articletitled, AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks
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Journal Articles

Deep learning of nonlinear flame fronts development due to Darrieus–Landau instability

Open Access
Rixin Yu
Journal: APL Machine Learning
APL Mach. Learn. 1, 026106 (2023)
https://doi.org/10.1063/5.0139857
Published: April 2023
View articletitled, Deep learning of nonlinear flame fronts development due to Darrieus–Landau instability
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Journal Articles

Automatic identification of edge localized modes in the DIII-D tokamak

Open Access
Finn H. O’Shea, Semin Joung, David R. Smith, Ryan Coffee
Journal: APL Machine Learning
APL Mach. Learn. 1, 026102 (2023)
https://doi.org/10.1063/5.0134001
Published: April 2023
View articletitled, Automatic identification of edge localized modes in the DIII-D tokamak
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