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Journal Articles

Machine-learning-derived thermal conductivity of two-dimensional TiS2/MoS2 van der Waals heterostructures

Featured
A. K. Nair, C. M. Da Silva, C. H. Amon
Journal: APL Machine Learning
APL Mach. Learn. 2, 036115 (2024)
https://doi.org/10.1063/5.0205702
Published: September 2024
View article titled, Machine-learning-derived thermal conductivity of two-dimensional TiS<sub>2</sub>/MoS<sub>2</sub> van der Waals heterostructures
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Journal Articles

A machine learning framework for quantum cascade laser design

Andres Correa Hernandez, Claire F. Gmachl
Journal: APL Machine Learning
APL Mach. Learn. 2, 036111 (2024)
https://doi.org/10.1063/5.0222812
Published: September 2024
View article titled, A machine learning framework for quantum cascade laser design
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Journal Articles

Quantum-tunneling deep neural network for optical illusion recognition

Ivan S. Maksymov
Journal: APL Machine Learning
APL Mach. Learn. 2, 036107 (2024)
https://doi.org/10.1063/5.0225771
Published: August 2024
View article titled, Quantum-tunneling deep neural network for optical illusion recognition
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Journal Articles

Sim2Real in reconstructive spectroscopy: Deep learning with augmented device-informed data simulation

Jiyi Chen, Pengyu Li, Yutong Wang, Pei-Cheng Ku, Qing Qu
Journal: APL Machine Learning
APL Mach. Learn. 2, 036106 (2024)
https://doi.org/10.1063/5.0209339
Published: August 2024
View article titled, <em>Sim2Real</em> in reconstructive spectroscopy: Deep learning with augmented device-informed data simulation
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Journal Articles

Domain wall and magnetic tunnel junction hybrid for on-chip learning in UNet architecture

Venkatesh Vadde, Bhaskaran Muralidharan, Abhishek Sharma
Journal: APL Machine Learning
APL Mach. Learn. 2, 036101 (2024)
https://doi.org/10.1063/5.0214042
Published: July 2024
View article titled, Domain wall and magnetic tunnel junction hybrid for on-chip learning in UNet architecture
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Journal Articles

Erratum: “Improved prediction for failure time of multilayer ceramic capacitors (MLCCs): A physics-based machine learning approach” [APL Mach. Learn. 1, 036107 (2023)]

Pedram Yousefian, Alireza Sepehrinezhad, Adri C. T. van Duin, Clive A. Randall
Journal: APL Machine Learning
APL Mach. Learn. 2, 029901 (2024)
https://doi.org/10.1063/5.0221988
Published: June 2024
View article titled, Erratum: “Improved prediction for failure time of multilayer ceramic capacitors (MLCCs): A physics-based machine learning approach” [APL Mach. Learn. 1, 036107 (2023)]
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Journal Articles

Enhanced spectrum prediction using deep learning models with multi-frequency supplementary inputs

Xiaohua Xing, Yuqi Ren, Die Zou, Qiankun Zhang, Bingxuan Mao, Jianquan Yao, Deyi Xiong, Liang Wu
Journal: APL Machine Learning
APL Mach. Learn. 2, 026118 (2024)
https://doi.org/10.1063/5.0203931
Published: May 2024
View article titled, Enhanced spectrum prediction using deep learning models with multi-frequency supplementary inputs
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Includes: Supplementary data
Journal Articles

Exploring the optimal design space of transparent perovskite solar cells for four-terminal tandem applications through Pareto front optimization

FeaturedScilight
Hu Quee Tan, Xinhai Zhao, Akhil Ambardekar, Erik Birgersson, Hansong Xue
Journal: APL Machine Learning
APL Mach. Learn. 2, 026111 (2024)
https://doi.org/10.1063/5.0187208
Published: April 2024
View article titled, Exploring the optimal design space of transparent perovskite solar cells for four-terminal tandem applications through Pareto front optimization
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Includes: Supplementary data
Journal Articles

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

Editor’s Pick
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 article titled, AlGaN/GaN MOS-HEMT enabled optoelectronic artificial synaptic devices for neuromorphic computing
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Includes: Supplementary data
Journal Articles

VERI-D: A new dataset and method for multi-camera vehicle re-identification of damaged cars under varying lighting conditions

Shao Liu, Sos S. Agaian
Journal: APL Machine Learning
APL Mach. Learn. 2, 016120 (2024)
https://doi.org/10.1063/5.0183408
Published: March 2024
View article titled, VERI-D: A new dataset and method for multi-camera vehicle re-identification of damaged cars under varying lighting conditions
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Journal Articles

Training self-learning circuits for power-efficient solutions

Featured
Menachem Stern, Sam Dillavou, Dinesh Jayaraman, Douglas J. Durian, Andrea J. Liu
Journal: APL Machine Learning
APL Mach. Learn. 2, 016114 (2024)
https://doi.org/10.1063/5.0181382
Published: February 2024
View article titled, Training self-learning circuits for power-efficient solutions
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Journal Articles

Digitizing images of electrical-circuit schematics

Charles R. Kelly, Jacqueline M. Cole
Journal: APL Machine Learning
APL Mach. Learn. 2, 016109 (2024)
https://doi.org/10.1063/5.0177755
Published: January 2024
View article titled, Digitizing images of electrical-circuit schematics
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Includes: Supplementary data
Journal Articles

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

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 article titled, Noise tailoring, noise annealing, and external perturbation injection strategies in memristive Hopfield neural networks
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Journal Articles

Data-driven design for enhanced efficiency of Sn-based perovskite solar cells using machine learning

Abdul Hamid Rumman, Miah Abdullah Sahriar, Md Tohidul Islam, Kazi Md Shorowordi, Joaquin Carbonara, Scott Broderick, Saquib Ahmed
Journal: APL Machine Learning
APL Mach. Learn. 1, 046117 (2023)
https://doi.org/10.1063/5.0177271
Published: December 2023
View article titled, Data-driven design for enhanced efficiency of Sn-based perovskite solar cells using machine learning
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Includes: Supplementary data
Journal Articles

Identification of novel organic polar materials: A machine learning study with importance sampling

Ayana Ghosh, Dennis P. Trujillo, Subhashis Hazarika, Elizabeth Schiesser, M. J. Swamynathan, Saurabh Ghosh, Jian-Xin Zhu, Serge Nakhmanson
Journal: APL Machine Learning
APL Mach. Learn. 1, 046115 (2023)
https://doi.org/10.1063/5.0162380
Published: December 2023
View article titled, Identification of novel organic polar materials: A machine learning study with importance sampling
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Includes: Supplementary data
Journal Articles

Hyena neural operator for partial differential equations

Editor’s Pick
Saurabh Patil, Zijie Li, Amir Barati Farimani
Journal: APL Machine Learning
APL Mach. Learn. 1, 046114 (2023)
https://doi.org/10.1063/5.0177276
Published: December 2023
View article titled, Hyena neural operator for partial differential equations
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Journal Articles

A physics-based predictive model for pulse design to realize high-performance memristive neural networks

Haoyue Deng, Zhen Fan, Shuai Dong, Zhiwei Chen, Wenjie Li, Yihong Chen, Kun Liu, Ruiqiang Tao, Guo Tian, Deyang Chen, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu
Journal: APL Machine Learning
APL Mach. Learn. 1, 046110 (2023)
https://doi.org/10.1063/5.0180346
Published: November 2023
View article titled, A physics-based predictive model for pulse design to realize high-performance memristive neural networks
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Journal Articles

Unsupervised machine learning to analyze corneal tissue surfaces

Carolin A. Rickert, Fabio Henkel, Oliver Lieleg
Journal: APL Machine Learning
APL Mach. Learn. 1, 046107 (2023)
https://doi.org/10.1063/5.0159502
Published: November 2023
View article titled, Unsupervised machine learning to analyze corneal tissue surfaces
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Includes: Supplementary data
Journal Articles

KoopmanLab: Machine learning for solving complex physics equations

Wei Xiong, Muyuan Ma, Xiaomeng Huang, Ziyang Zhang, Pei Sun, Yang Tian
Journal: APL Machine Learning
APL Mach. Learn. 1, 036110 (2023)
https://doi.org/10.1063/5.0157763
Published: September 2023
View article titled, KoopmanLab: Machine learning for solving complex physics equations
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Journal Articles

Flexible optoelectronic synaptic transistors for neuromorphic visual systems

Xiao Liu, Dongke Li, Yue Wang, Deren Yang, Xiaodong Pi
Journal: APL Machine Learning
APL Mach. Learn. 1, 031501 (2023)
https://doi.org/10.1063/5.0163926
Published: August 2023
View article titled, Flexible optoelectronic synaptic transistors for neuromorphic visual systems
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