A back-end, CMOS compatible ferroelectric Field Effect Transistor for synaptic weights. - Mattia Halter; Laura Bégon-Lours; Valeria Bragaglia; Marilyne Sousa; Bert Jan Offrein; Stefan Abel; Mathieu Luisier; Jean Fompeyrine (CoRR, 2020)

High-Conductance, Ohmic-like HfZrO4 Ferroelectric Memristor. - Laura Bégon-Lours; Mattia Halter; Youri Popoff; Zhenming Yu; Donato Francesco Falcone; Bert Jan Offrein (ESSCIRC, 2021)

Scaling ferroelectric HZO thickness for low power Ge MFS-FTJ memories. - Nikitas Siannas; Christina Zacharaki; Polychronis Tsipas; Stefanos Chaitoglou; Laura Bégon-Lours; Athanasios Dimoulas (ESSDERC, 2021)

A Back-End-Of-Line Compatible, Ferroelectric Analog Non-Volatile Memory. - Laura Bégon-Lours; Mattia Halter; Diana Dávila Pineda; Valeria Bragaglia; Youri Popoff; Antonio La Porta; Daniel Jubin; Jean Fompeyrine; Bert J. Offrein (IMW, 2021)

Equivalent electrical circuit modelling of a TaOx/HfOx based RRAM with optimized resistance window and multilevel states. - Tommaso Stecconi; Youri Popoff; Roberto Guido; Mattia Halter; Donato Francesco Falcone; Antonio La Porta; Folkert Horst; Laura Bégon-Lours; Marilyne Sousa; Bert J. Offrein; Valeria Bragaglia (DRC, 2022)

Effect of cycling on ultra-thin HfZrO4, ferroelectric synaptic weights. - Laura Bégon-Lours; Mattia Halter; Marilyne Sousa; Youri Popoff; Diana Dávila Pineda; Donato Francesco Falcone; Zhenming Yu; Steffen Reidt; Lorenzo Benatti; Francesco Maria Puglisi; Bert Jan Offrein (Neuromorph. Comput. Eng., 2022)

A BEOL Compatible, 2-Terminals, Ferroelectric Analog Non-Volatile Memory. - Laura Bégon-Lours; Mattia Halter; Diana Dávila Pineda; Youri Popoff; Valeria Bragaglia; Antonio La Porta; Daniel Jubin; Jean Fompeyrine; Bert Jan Offrein (CoRR, 2023)

High-Conductance, Ohmic-like HfZrO4 Ferroelectric Memristor. - Laura Bégon-Lours; Mattia Halter; Youri Popoff; Zhenming Yu; Donato Francesco Falcone; Bert Jan Offrein (CoRR, 2023)

TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration. - Hugh Greatorex; Ole Richter; Michele Mastella; Madison Cotteret; Philipp Klein; Maxime Fabre; Arianna Rubino; Willian Soares Girão; Junren Chen; Martin Ziegler 006; Laura Bégon-Lours; Giacomo Indiveri; et al. (CoRR, 2024)

All-in-One Analog AI Accelerator: On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices. - Donato Francesco Falcone; Victoria Clerico; Wooseok Choi; Tommaso Stecconi; Folkert Horst; Laura Bégon-Lours; Matteo Galetta; Antonio La Porta; Nikhil Garg 002; Fabien Alibart; Bert Jan Offrein; Valeria Bragaglia (CoRR, 2025)

Energy-convergence trade off for the training of neural networks on bio-inspired hardware. - Nikhil Garg 002; Paul Uriarte Vicandi; Yanming Zhang; Alexandre Baigol; Donato Francesco Falcone; Mamidala Saketh Ram; Bert Jan Offrein; Laura Bégon-Lours (CoRR, 2025)

Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses. - Nikhil Garg 002; Ismael Balafrej; Joao Henrique Quintino Palhares; Laura Bégon-Lours; Davide Florini; Donato Francesco Falcone; Tommaso Stecconi; Valeria Bragaglia; Bert Jan Offrein; Jean-Michel Portal; Damien Querlioz; Yann Beilliard; et al. (CoRR, 2025)