Influence of the manufacturing process on the electrical properties of thin (k stacks observed with CAFM. - Mario Lanza; Marc Porti; Montserrat Nafría; Guenther Benstetter; Werner Frammelsberger; Heiko Ranzinger; E. Lodermeier; G. Jaschke (Microelectron. Reliab., 2007)

Trapped charge and stress induced leakage current (SILC) in tunnel SiO2 layers of de-processed MOS non-volatile memory devices observed at the nanoscale. - Mario Lanza; Marc Porti; Montserrat Nafría; Xavier Aymerich; G. Ghidini; A. Sebastiani (Microelectron. Reliab., 2009)

UHV CAFM characterization of high-k dielectrics: Effect of the technique resolution on the pre- and post-breakdown electrical measurements. - Mario Lanza; Marc Porti; Montserrat Nafría; Xavier Aymerich; E. Whittaker; B. Hamilton (Microelectron. Reliab., 2010)

Nanoscale observations of resistive switching high and low conductivity states on TiN/HfO2/Pt structures. - Violaine Iglesias 002; Mario Lanza; Albin Bayerl; Marc Porti; Montserrat Nafría; Xavier Aymerich; Lifeng Liu; Jinfeng Kang; Gennadi Bersuker; Kai Zhang; Ziyong Shen (Microelectron. Reliab., 2012)

Nanoscale and device level electrical behavior of annealed ALD Hf-based gate oxide stacks grown with different precursors. - Albin Bayerl; Mario Lanza; Lidia Aguilera; Marc Porti; Montserrat Nafría; Xavier Aymerich; Stefan De Gendt (Microelectron. Reliab., 2013)

Equivalent circuit model for the electron transport in 2D resistive switching material systems. - Enrique Miranda 002; Jordi Suñé; Chengbin Pan; Marco A. Villena; Na Xiao; Mario Lanza (ESSDERC, 2017)

Enhanced reliability of hexagonal boron nitride dielectric stacks due to high thermal conductivity. - Xianhu Liang; Bin Yuan; Yuanyuan Shi; Fei Hui; Xu Jing; Mario Lanza; Felix Palumbo (IRPS, 2018)

Tristate Resistive Switching in Heterogenous Van Der Waals Dielectric Structures. - Kaichen Zhu; Xianhu Liang; Bin Yuan; Marco A. Villena; Chao Wen; Tao Wang; Shaochuan Chen; Mario Lanza; Fei Hui; Yuanyuan Shi (IRPS, 2019)

Influence of the magnetic field on dielectric breakdown in memristors based on h-BN stacks. - David Maldonado; Juan Bautista Roldán; Andrés M. Roldán; Francisco Jiménez-Molinos; Fei Hui; Y. Shi; Xu Jing; Chao Wen; Mario Lanza (IRPS, 2020)

Reversible dielectric breakdown in h-BN stacks: a statistical study of the switching voltages. - Juan Bautista Roldán; David Maldonado; Francisco Jiménez-Molinos; Christian Acal; Juan Eloy Ruiz-Castro; Ana M. Aguilera; Fei Hui; J. Kong; Y. Shi; Xu Jing; Chao Wen; Marco Antonio Villena; et al. (IRPS, 2020)

Time series modeling of the cycle-to-cycle variability in h-BN based memristors. - Juan Bautista Roldán; David Maldonado; Francisco J. Alonso; Andrés M. Roldán; Fei Hui; Yuanyuan Shi; Francisco Jiménez-Molinos; Ana M. Aguilera; Mario Lanza (IRPS, 2021)

2021 Roadmap on Neuromorphic Computing and Engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (CoRR, 2021)

Memristors with Initial Low-Resistive State for Efficient Neuromorphic Systems. - Kaichen Zhu; Mohammad Reza Mahmoodi; Zahra Fahimi; Yiping Xiao; Tao Wang; Kristýna Bukvisová; Miroslav Kolíbal; Juan Bautista Roldán; David Perez; Fernando L. Aguirre; Mario Lanza (Adv. Intell. Syst., 2022)

Skyrmion-based Leaky Integrate and Fire Neurons for Neuromorphic Applications. - Aijaz H. Lone; Selma Amara; Fernando L. Aguirre; Mario Lanza; Hossein Fariborzi (CoRR, 2022)

2022 roadmap on neuromorphic computing and engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (Neuromorph. Comput. Eng., 2022)

Variability in Resistive Memories. - Juan Bautista Roldán; Enrique Miranda 002; David Maldonado; Alexey N. Mikhaylov; Nikolay V. Agudov; Alexander A. Dubkov; Maria N. Koryazhkina; Mireia Bargallo González; Marco A. Villena; Samuel Poblador; Mercedes Saludes-Tapia; Rodrigo Picos; et al. (Adv. Intell. Syst., 2023)

Roadmap to Neuromorphic Computing with Emerging Technologies. - Adnan Mehonic; Daniele Ielmini; Kaushik Roy 001; Onur Mutlu; Shahar Kvatinsky; Teresa Serrano-Gotarredona; Bernabé Linares-Barranco; Sabina Spiga; Sergey Savelev; Alexander G. Balanov; Nitin Chawla; Giuseppe Desoli; et al. (CoRR, 2024)