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Journal Articles

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

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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

Ionic species representations for materials informatics

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Anthony Onwuli, Keith T. Butler, Aron Walsh
Journal: APL Machine Learning
APL Mach. Learn. 2, 036112 (2024)
https://doi.org/10.1063/5.0227009
Published: September 2024
View article titled, Ionic species representations for materials informatics
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Journal Articles

Brain-inspired learning in artificial neural networks: A review

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Samuel Schmidgall, Rojin Ziaei, Jascha Achterberg, Louis Kirsch, S. Pardis Hajiseyedrazi, Jason Eshraghian
Journal: APL Machine Learning
APL Mach. Learn. 2, 021501 (2024)
https://doi.org/10.1063/5.0186054
Published: May 2024
View article titled, Brain-inspired learning in artificial neural networks: A review
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Journal Articles

Biological plausible algorithm for seizure detection: Toward AI-enabled electroceuticals at the edge

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Luis Fernando Herbozo Contreras, Zhaojing Huang, Leping Yu, Armin Nikpour, Omid Kavehei
Journal: APL Machine Learning
APL Mach. Learn. 2, 026114 (2024)
https://doi.org/10.1063/5.0192875
Published: April 2024
View article titled, Biological plausible algorithm for seizure detection: Toward AI-enabled electroceuticals at the edge
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Journal Articles

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

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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

Study of the adsorption sites of high entropy alloys for CO2 reduction using graph convolutional network

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H. Oliaei, N. R. Aluru
Journal: APL Machine Learning
APL Mach. Learn. 2, 026103 (2024)
https://doi.org/10.1063/5.0198043
Published: April 2024
View article titled, Study of the adsorption sites of high entropy alloys for CO<sub>2</sub> reduction using graph convolutional network
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Includes: Supplementary data
Journal Articles

Accelerating defect predictions in semiconductors using graph neural networks

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Md Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, Satyesh Kumar Yadav, Ghanshyam Pilania, Brian DeCost, Kamal Choudhary, Arun Mannodi-Kanakkithodi
Journal: APL Machine Learning
APL Mach. Learn. 2, 016122 (2024)
https://doi.org/10.1063/5.0176333
Published: March 2024
View article titled, Accelerating defect predictions in semiconductors using graph neural networks
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Includes: Supplementary data
Journal Articles

Training self-learning circuits for power-efficient solutions

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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

In-memory and in-sensor reservoir computing with memristive devices

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Ning Lin, Jia Chen, Ruoyu Zhao, Yangu He, Kwunhang Wong, Qinru Qiu, Zhongrui Wang, J. Joshua Yang
Journal: APL Machine Learning
APL Mach. Learn. 2, 010901 (2024)
https://doi.org/10.1063/5.0174863
Published: January 2024
View article titled, In-memory and in-sensor reservoir computing with memristive devices
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Journal Articles

Manifold projection image segmentation for nano-XANES imaging

Samantha Tetef, Ajith Pattammattel, Yong S. Chu, Maria K. Y. Chan, Gerald T. Seidler
Journal: APL Machine Learning
APL Mach. Learn. 1, 046119 (2023)
https://doi.org/10.1063/5.0167584
Published: December 2023
View article titled, Manifold projection image segmentation for nano-XANES imaging
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Includes: Supplementary data
Journal Articles

Using the IBM analog in-memory hardware acceleration kit for neural network training and inference

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Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch
Journal: APL Machine Learning
APL Mach. Learn. 1, 041102 (2023)
https://doi.org/10.1063/5.0168089
Published: November 2023
View article titled, Using the IBM analog in-memory hardware acceleration kit for neural network training and inference
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Includes: Supplementary data
Journal Articles

A cloud platform for sharing and automated analysis of raw data from high throughput polymer MD simulations

Tian Xie, Ha-Kyung Kwon, Daniel Schweigert, Sheng Gong, Arthur France-Lanord, Arash Khajeh, Emily Crabb, Michael Puzon, Chris Fajardo, Will Powelson, Yang Shao-Horn, Jeffrey C. Grossman
Journal: APL Machine Learning
APL Mach. Learn. 1, 046108 (2023)
https://doi.org/10.1063/5.0160937
Published: November 2023
View article titled, A cloud platform for sharing and automated analysis of raw data from high throughput polymer MD simulations
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Journal Articles

A tutorial on the Bayesian statistical approach to inverse problems

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Faaiq G. Waqar, Swati Patel, Cory M. Simon
Journal: APL Machine Learning
APL Mach. Learn. 1, 041101 (2023)
https://doi.org/10.1063/5.0154773
Published: November 2023
View article titled, A tutorial on the Bayesian statistical approach to inverse problems
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Journal Articles

Discovery of structure–property relations for molecules via hypothesis-driven active learning over the chemical space

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Ayana Ghosh, Sergei V. Kalinin, Maxim A. Ziatdinov
Journal: APL Machine Learning
APL Mach. Learn. 1, 046102 (2023)
https://doi.org/10.1063/5.0157644
Published: October 2023
View article titled, Discovery of structure–property relations for molecules via hypothesis-driven active learning over the chemical space
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Includes: Supplementary data
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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Journal Articles

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

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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 article titled, 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

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 article titled, Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation
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Journal Articles

Label free identification of different cancer cells using deep learning-based image analysis

Karl Gardner, Rutwik Joshi, Md Nayeem Hasan Kashem, Thanh Quang Pham, Qiugang Lu, Wei Li
Journal: APL Machine Learning
APL Mach. Learn. 1, 026110 (2023)
https://doi.org/10.1063/5.0141730
Published: May 2023
View article titled, Label free identification of different cancer cells using deep learning-based image analysis
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Includes: Supplementary data
Journal Articles

DyFraNet: Forecasting and backcasting dynamic fracture mechanics in space and time using a 2D-to-3D deep neural network

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Yu-Chuan Hsu, Markus J. Buehler
Journal: APL Machine Learning
APL Mach. Learn. 1, 026105 (2023)
https://doi.org/10.1063/5.0135015
Published: April 2023
View article titled, DyFraNet: Forecasting and backcasting dynamic fracture mechanics in space and time using a 2D-to-3D deep neural network
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Journal Articles

Stoichiometric growth of SrTiO3 films via Bayesian optimization with adaptive prior mean

Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada, Yoshitaka Taniyasu, Hideki Yamamoto
Journal: APL Machine Learning
APL Mach. Learn. 1, 026104 (2023)
https://doi.org/10.1063/5.0132768
Published: April 2023
View article titled, Stoichiometric growth of SrTiO<sub>3</sub> films via Bayesian optimization with adaptive prior mean
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