Work

Semi-recurrent Physics Informed Neural Networks for Modelling Resistive Memories

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)

DOI: 10.1109/aicas64808.2025.11173132

Authors: G. Kleitsiotis, A. Passias, E. Tsipas, K.-A. Tsakalos, I.-A. Fyrigos, P. Bousoulas, S. Kitsios, C. Tsioustas, I. Vourkas, P. Dimitrakis, D. Tsoukalas, G. Ch. Sirakoulis

Institutions: Democritus University of Thrace, National Technical University of Athens, National Centre of Scientific Research "Demokritos", Institute of Nanoscience and Nanotechnology

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: PATH

OpenAlex ID: W4414500252

FWCI: 2.32

Cites: 25

Cited by: 1

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