6 papers
Elemental Germanium Phase-Change Memory
Till Zellweger, Marko MladenoviÄ, 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…
Conductance-dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
Christoph Weilenmann, Hanglin He, Marko MladenoviÄ +6
Modern computers perform pre-defined operations using static memory components, whereas biological systems learn through inherently dynamic, time-dependent processes in synapses an…
Acceleration of Atomistic NEGF: Algorithms, Parallelization, and Machine Learning
Mathieu Luisier, Nicolas Vetsch, Alexander Maeder +8
The Non-equilibrium Green's function (NEGF) formalism is a particularly powerful method to simulate the quantum transport properties of nanoscale devices such as transistors, photo…
Machine-Learned Hamiltonians for Quantum Transport Simulation of Valence Change Memories
Chen Hao Xia, Manasa Kaniselvan, Marko MladenoiviÄ +1
The construction of the Hamiltonian matrix \textbf{H} is an essential, yet computationally expensive step in \textit{ab-initio} device simulations based on density-functional theor…
Termination-Dependent Resistive Switching in SrTiO Valence Change Memory Cells
Marko MladenoviÄ, 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…
Ab initio functional-independent calculations of the clamped Pockels tensor of tetragonal barium titanate
Virginie de Mestral, Lorenzo Bastonero, Michele Kotiuga +3
We present an ab initio method to calculate the clamped Pockels tensor of ferroelectric materials from density-functional theory, the modern theory of polarization exploiting the e…