◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

T. Kühne

61 papers hereh-index 375.4k citations158 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author5
  • middle author22
  • last author30

Across the 58 of 61 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci22
  • physics.chem-ph15
  • physics.comp-ph11
  • cond-mat.str-el3
  • cond-mat.mes-hall2
  • cond-mat.soft2
same name
  • T. Kühne — 1 paper, h 4
  • T. Kühne — 1 paper, h 4
  • T. Kühne — 1 paper, h 3
  • T. Kühne — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062026
most citedAn Efficient and Accurate Car-Parrinello-like Approach to Born-Oppenheimer Molecular Dynamics

463 citations · 2.3k across the 58 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cond-mat.mes-hall2019★ 1 cited

Modulation of Nearly Free Electron States in Hydroxyl-Functionalized MXenes: A First-Principles Study

Jiaqi Zhou, Mohammad Khazaei, Ahmad Ranjbar +5

The transition metal carbides (namely MXenes) and their functionalized derivatives exhibit various physical and chemical characteristics and offer many potential applications in el…

physics.comp-ph2019★ 8 cited

Accurate Sampling with Noisy Forces from Approximate Computing

Varadarajan Rengaraj, Michael Lass, Christian Plessl +1

In scientific computing, the acceleration of atomistic computer simulations by means of custom hardware is finding ever growing application. A major limitation, however, is that th…

physics.comp-ph2019★ 24 cited

Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo

Jan Kessler, Francesco Calcavecchia, Thomas D. Kühne

Inspired by the universal approximation theorem and widespread adoption of artificial neural network techniques in a diversity of fields, we propose feed-forward neural networks as…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.