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Memory technology enabling future computing systems
Can ferroelectric tunnel junction be a game changer as eNVM and in neuromorphic hardware?
CoNO: Complex neural operator for continous dynamical physical systems
AI-driven model for optimized pulse programming of memristive devices
Scaling of hardware-compatible perturbative training algorithms
Graph-aware isomorphic attention for adaptive dynamics in
transformers
PERSPECTIVES
Memory technology enabling future computing systems
In Special Collection:
Neuromorphic Technologies for Novel Hardware AI
APL Mach. Learn. 3, 020901 (2025)
https://doi.org/10.1063/5.0253063
Can ferroelectric tunnel junction be a game changer as eNVM and in neuromorphic hardware?
In Special Collection:
Neuromorphic Technologies for Novel Hardware AI
APL Mach. Learn. 3, 020902 (2025)
https://doi.org/10.1063/5.0252822
ARTICLES
CoNO: Complex neural operator for continous dynamical physical systems
APL Mach. Learn. 3, 026101 (2025)
https://doi.org/10.1063/5.0254013
Predicting mechanical properties of polycrystalline nanopillars by interpretable machine learning
APL Mach. Learn. 3, 026102 (2025)
https://doi.org/10.1063/5.0242318
AI-driven model for optimized pulse programming of memristive devices
In Special Collection:
Neuromorphic Technologies for Novel Hardware AI
APL Mach. Learn. 3, 026103 (2025)
https://doi.org/10.1063/5.0251113
Accurate classification of materials with elEmBERT: Element embeddings for chemical benchmarks
APL Mach. Learn. 3, 026104 (2025)
https://doi.org/10.1063/5.0232529
Time to failure prediction for MLCCs: A machine learning approach based on leakage current data
APL Mach. Learn. 3, 026105 (2025)
https://doi.org/10.1063/5.0262717
Symmetry constrained neural networks for detection and localization of damage in metal plates
APL Mach. Learn. 3, 026106 (2025)
https://doi.org/10.1063/5.0242345
Scaling of hardware-compatible perturbative training algorithms
In Special Collection:
Neuromorphic Technologies for Novel Hardware AI
APL Mach. Learn. 3, 026107 (2025)
https://doi.org/10.1063/5.0258271
Graph-aware isomorphic attention for adaptive dynamics in
transformers
APL Mach. Learn. 3, 026108 (2025)
https://doi.org/10.1063/5.0256873
