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19932026
most citedCP2K: An Electronic Structure and Molecular Dynamics Software Package -- Quickstep: Efficient and Accurate Electronic Structure Calculations

4.5k citations

587 papers

cs.ET2026★ 4 cited

Update Disturbance-Resilient Analog ReRAM Crossbar Arrays for In-Memory Deep Learning Accelerators

Wooseok Choi, Tommaso Stecconi, Donato Francesco Falcone +14

Resistive memory (ReRAM) technologies with crossbar array architectures hold significant potential for analog AI accelerator hardware, enabling both in-memory inference and trainin…

cs.ET2026★ 1 cited

Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive-Metal-Oxide/HfOx ReRAM via Compact Modeling

Matteo Galetta, Donato Francesco Falcone, Victoria Clerico +7

Resistive Random Access Memory (ReRAM) devices offer a promising solution for next-generation non-volatile memory and neuromorphic computing systems. Yet, existing compact models f…

cs.AR2026

Heterogeneous Mapping for Analog In-Memory Computing Accelerators: A Unified Workflow

Corey Lammie

Analog In-Memory Computing (AIMC) accelerators execute matrix-vector multiplications directly within memory arrays, reducing data movement and improving DNN inference efficiency. T…

physics.optics2026★ 1 cited

Radiative-channel valley topological laser

Seonyeong Kim, Markus Scherrer, Jakub Dranczewski +3

Active topological photonic systems enable robust light control and new pathways for semiconductor lasing. However, their intrinsically non-Hermitian nature, combining gain, radiat…

cond-mat.mes-hall2026

Disentangling orbital and confinement contributions to -factor in Ge/SiGe hole quantum dots

L. Sommer, I. Seidler, F. J. Schupp +12

Spin qubits are typically operated in the lowest orbital of a quantum dot to minimize interference from nearby states. In valence-band hole systems, strong spin-orbit coupling link…

cs.LG2025★ 1 cited

A Composable Channel-Adaptive Architecture for Seizure Classification

Francesco Carzaniga, Michael Hersche, Kaspar Schindler +1

Objective: We develop a channel-adaptive (CA) architecture that seamlessly processes multi-variate time-series with an arbitrary number of channels, and in particular intracranial…