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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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Journal Articles

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

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

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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Journal Articles

In-memory computing with emerging memory devices: Status and outlook

P. Mannocci, M. Farronato, N. Lepri, L. Cattaneo, A. Glukhov, Z. Sun, D. Ielmini
Journal: APL Machine Learning
APL Mach. Learn. 1, 010902 (2023)
https://doi.org/10.1063/5.0136403
Published: February 2023
View article titled, In-memory computing with emerging memory devices: Status and outlook
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Journal Articles

Deep language models for interpretative and predictive materials science

Yiwen Hu, Markus J. Buehler
Journal: APL Machine Learning
APL Mach. Learn. 1, 010901 (2023)
https://doi.org/10.1063/5.0134317
Published: February 2023
View article titled, Deep language models for interpretative and predictive materials science
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