activity
20242026
most citedMultiscale Modeling of Metal/Oxide/Metal Conductive Bridging Random Access Memory Cells: from Ab Initio to Finite Element Calculations

12 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

Elemental Germanium Phase-Change Memory

Till Zellweger, Marko Mladenović, Kevin Portner +7

Phase-change memory (PCM) is a mature technology for fast, scalable, non-volatile data storage, with applications spanning embedded memory, as well as in-memory and neuromorphic co…

cond-mat.mtrl-sci2026★ 12 cited

Multiscale Modeling of Metal/Oxide/Metal Conductive Bridging Random Access Memory Cells: from Ab Initio to Finite Element Calculations

Jan Aeschlimann, Fabian Durch, Christoph Weilenmann +3

We present a multiscale simulation framework to compute the current vs. voltage (I-V ) characteristics of metal/oxide/metal structures building the core of conductive bridging rand…

cs.ET2025

Conductance-dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Christoph Weilenmann, Hanglin He, Marko Mladenović +6

Modern computers perform pre-defined operations using static memory components, whereas biological systems learn through inherently dynamic, time-dependent processes in synapses an…

cond-mat.mtrl-sci2025★ 7 cited

Termination-Dependent Resistive Switching in SrTiO Valence Change Memory Cells

Marko Mladenović, Manasa Kaniselvan, Christoph Weilenmann +2

Valence change memory (VCM) cells based on SrTiO (STO), a perovskite oxide, are a promising type of emerging memory device. While the operational principle of most VCM cells re…

cs.NE2024

Single Neuromorphic Memristor closely Emulates Multiple Synaptic Mechanisms for Energy Efficient Neural Networks

Christoph Weilenmann, Alexandros Ziogas, Till Zellweger +6

Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more complex fun…