Behavioral modeling of multilevel HfO2-based memristors for neuromorphic circuit simulation. - Antonio J. Pérez-Ávila; Gerardo González-Cordero; Eduardo Pérez; Emilio Pérez-Bosch Quesada; Mamathamba Kalishettyhalli Mahadevaiaha; Christian Wenger; Juan Bautista Roldán; Francisco Jiménez-Molinos (DCIS, 2020)

Comparative Analysis and Optimization of the SystemC-AMS Analog Simulation Efficiency of Resistive Crossbar Arrays. - Tommaso Rizzi; Emilio Pérez-Bosch Quesada; Christian Wenger; Cristian Zambelli; Davide Bertozzi (DCIS, 2021)

Mitigating the Effects of RRAM Process Variation on the Accuracy of Artificial Neural Networks. - Markus Fritscher; Johannes Knödtel; Maen Mallah; Stefan Pechmann; Emilio Pérez-Bosch Quesada; Tommaso Rizzi; Christian Wenger; Marc Reichenbach (SAMOS, 2021)

Memristive-based in-memory computing: from device to large-scale CMOS integration. - Emilio Pérez-Bosch Quesada; Eduardo Pérez; Mamathamba Kalishettyhalli Mahadevaiaha; Christian Wenger (Neuromorph. Comput. Eng., 2021)

Analytical Calculation of Inference in Memristor-based Stochastic Artificial Neural Networks. - Nicolas Bogun; Emilio Pérez-Bosch Quesada; Eduardo Pérez; Christian Wenger; Alexander Kloes; Mike Schwarz (MIXDES, 2022)

LUT-based RRAM Model for Neural Accelerator Circuit Simulation. - Max Uhlmann; Tommaso Rizzi; Jianan Wen; Emilio Pérez-Bosch Quesada; Bakr Al Beattie; Karlheinz Ochs; Eduardo Pérez; Philip Ostrovskyy; Corrado Carta; Christian Wenger; Gerhard Kahmen (NANOARCH, 2023)

One-Transistor-Multiple-RRAM Cells for Energy-Efficient In-Memory Computing. - Max Uhlmann; Emilio Pérez-Bosch Quesada; Markus Fritscher; Eduardo Pérez; Markus Andreas Schubert; Marc Reichenbach; Philip Ostrovskyy; Christian Wenger; Gerhard Kahmen (NEWCAS, 2023)