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Open access Sep 2026

Activation function saturation determines robustness to conductance nonlinearity in analog in-memory learning

In analog memristive neural networks the weighted summation is performed efficiently in the crossbar, but how the activation function interacts with the imperfect, non-linear conductance updates of the devices remains poorly understood. We compare five activation functions—Sigmoid, Tanh, ReLU, GELU and SiLU—on MNIS...

Baki Gökgöz, Tolga Aydın, F. Gül · 0 citations
Open access Sep 2026

Interpretable Machine Learning Prediction of the Dielectric Constant and Bandgap of Polymers for Flexible Electronics

Polymer dielectrics are central to flexible and printed electronics, where a material must combine a sufficiently high dielectric constant with a wide electronic bandgap to suppress leakage. Experimental or first-principles screening is slow, motivating data-driven surrogates. Here we develop an interpretable machine l...

F. Gül · 0 citations
Open access Jul 2026

Multitarget Antiproliferative Activity of Pituranthos scoparius: An Integrated Phytochemical, Biological and Computational Insights into Key Oncogenic Pathways

The combined experimental and computational findings provide mechanistic insights into P. scoparius activity and support its relevance within the context of natural product-based cancer therapy, highlighting its potential for further preclinical development.

S. Chabane, A. Boudjelal, L. Pulvirenti et al. · 0 citations

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