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20032022
most citedCP2K: An Electronic Structure and Molecular Dynamics Software Package -- Quickstep: Efficient and Accurate Electronic Structure Calculations

4.5k citations

Showing 2020Show all

11 papers · 1 filter

cond-mat.mes-hall2020★ 25 cited

Ab initio mobility of mono-layer MoS2 and WS2: comparison to experiments and impact on the device characteristics

Youseung Lee, Sara Fiore, Mathieu Luisier

We combine the linearized Boltzmann Transport Equation (LBTE) and quantum transport by means of the Non-equilibrium Green's Functions (NEGF) to simulate single-layer MoS2 and WS2 u…

cond-mat.mtrl-sci2020★ 9 cited

Ab Initio Modeling of Thermal Transport through van der Waals Materials

Sara Fiore, Mathieu Luisier

An advanced modeling approach is presented to shed light on the thermal transport properties of van der Waals materials (vdWMs) composed of single-layer transition metal dichalcoge…

cs.AR2020★ 9 cited

An Open-Source Platform for High-Performance Non-Coherent On-Chip Communication

Andreas Kurth, Wolfgang Rönninger, Thomas Benz +4

On-chip communication infrastructure is a central component of modern systems-on-chip (SoCs), and it continues to gain importance as the number of cores, the heterogeneity of compo…

physics.app-ph2020★ 366 cited

On the suitability of hBN as an insulator for 2D material-based ultrascaled CMOS devices

Theresia Knobloch, Yury Yu. Illarionov, Fabian Ducry +8

Complementary metal oxide semiconductor (CMOS) logic circuits at the ultimate scaling limit place the utmost demands on the properties of all materials involved. The requirements f…

cond-mat.mes-hall2020★ 51 cited

Quantum mechanical modeling of anharmonic phonon-phonon scattering in nanostructures

Yangyu Guo, Marc Bescond, Zhongwei Zhang +3

The coherent quantum effect becomes increasingly important in the heat dissipation bottleneck of semiconductor nanoelectronics with the characteristic size shrinking down to few na…

eess.IV2020★ 13 cited

Improving Memory Utilization in Convolutional Neural Network Accelerators

Petar Jokic, Stephane Emery, Luca Benini

While the accuracy of convolutional neural networks has achieved vast improvements by introducing larger and deeper network architectures, also the memory footprint for storing the…

cs.CV2020★ 9 cited

Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles

Miguel de Prado, Manuele Rusci, Romain Donze +4

Standard-size autonomous navigation vehicles have rapidly improved thanks to the breakthroughs of deep learning. However, scaling autonomous driving to low-power systems deployed o…

cs.LG2020★ 11 cited

Automated Design Space Exploration for optimised Deployment of DNN on Arm Cortex-A CPUs

Miguel de Prado, Andrew Mundy, Rabia Saeed +3

The spread of deep learning on embedded devices has prompted the development of numerous methods to optimise the deployment of deep neural networks (DNN). Works have mainly focused…

physics.chem-ph2020★ 4.5k cited

CP2K: An Electronic Structure and Molecular Dynamics Software Package -- Quickstep: Efficient and Accurate Electronic Structure Calculations

Thomas D. Kühne, Marcella Iannuzzi, Mauro Del Ben +36

CP2K is an open source electronic structure and molecular dynamics software package to perform atomistic simulations of solid-state, liquid, molecular and biological systems. It is…

cs.AR2020★ 94 cited

Snitch: A tiny Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads

Florian Zaruba, Fabian Schuiki, Torsten Hoefler +1

Data-parallel applications, such as data analytics, machine learning, and scientific computing, are placing an ever-growing demand on floating-point operations per second on emergi…

cs.ET2020★ 112 cited

A back-end, CMOS compatible ferroelectric Field Effect Transistor for synaptic weights

Mattia Halter, Laura Bégon-Lours, Valeria Bragaglia +5

Neuromorphic computing architectures enable the dense co-location of memory and processing elements within a single circuit. This co-location removes the communication bottleneck o…