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Memristor devices for neural networks

Hongsik Jeong, Luping Shi • Journal of Physics D Applied Physics (2018)

Abstract Neural network technologies have taken center stage owing to their powerful computing capability for supporting deep learning in artificial intelligence. However, conventional synaptic devices such as SRAM and DRAM are not satisfac...

OPENALEX cc-by DOI: https://doi.org/10.1088/1361-6463/aae223

Effect of Heated Wall Corrugation on Thermal Performance in an L-Shaped Vented Cavity Crossed by Metal Foam Saturated with Copper–Water Nanofluid

Luma F. Ali, Hussein Togun, Abdellatif M. Sadeq • Computation (2025)

Practical applications such as solar power energy systems, electronic cooling, and the convective drying of vented enclosures require continuous developments to enhance fluid and heat flow. Numerous studies have investigated the enhancement...

DOAJ Open Access (DOAJ) DOI: 10.3390/computation13090218