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Journal Articles

Tutorials: Physics-informed machine learning methods of computing 1D phase-field models

Wei Li, Ruqing Fang, Junning Jiao, Georgios N. Vassilakis, Juner Zhu
Journal: APL Machine Learning
APL Mach. Learn. 2, 031101 (2024)
https://doi.org/10.1063/5.0205159
Published: August 2024
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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 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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