output
19972026
most citedThe Photodetector Array Camera and Spectrometer (PACS) on the Herschel Space Observatory

2.2k citations

Showing 2019Show all

34 papers · 1 filter

cs.LG2019★ 873 cited

A Survey on Distributed Machine Learning

Joost Verbraeken, Matthijs Wolting, Jonathan Katzy +3

The demand for artificial intelligence has grown significantly over the last decade and this growth has been fueled by advances in machine learning techniques and the ability to le…

physics.app-ph2019★ 25 cited

Silicon-vacancy color centers in phosphorus-doped diamond

Assegid Mengistu Flatae, Stefano Lagomarsino, Florian Sledz +10

The controlled creation of color centers in phosphorus-doped (n-type) diamond can facilitate the electronics integration of quantum photonics devices, such as single-photon sources…

cond-mat.mes-hall2019★ 190 cited

Moiré Excitons Correlated with Superlattice Structure in Twisted WSe/WSe Homobilayers

Trond I. Andersen, Giovanni Scuri, Andrey Sushko +11

Moiré superlattices in twisted van der Waals materials constitute a promising platform for engineering electronic and optical properties. However, a major obstacle to fully underst…

cond-mat.mes-hall2019★ 49 cited

P-type -doping with Diborane on Si(001) for STM Based Dopant Device Fabrication

Tomáš Škereň, Sigrun Köster, Bastien Douhard +2

Hydrogen resist lithography using the tip of a scanning tunneling microscope (STM) is employed for patterning p-type nanostructures in silicon. For this, the carrier density and mo…

cond-mat.mtrl-sci2019★ 25 cited

Structural and electronic properties of the pure and stable elemental 3D topological Dirac semimetal -Sn

Ivan Madarevic, Umamahesh Thupakula, Gertjan Lippertz +10

In-plane compressively strained -Sn films have been theoretically predicted and experimentally proven to possess non-trivial electronic states of a 3D topological Dirac semimeta…

cs.ET2019

A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing

Adarsha Balaji, Shihao Song, Anup Das +4

Neuromorphic hardware with non-volatile memory (NVM) can implement machine learning workload in an energy-efficient manner. Unfortunately, certain NVMs such as phase change memory…