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Haikuan Dong

23 papers hereh-index 151.6k citations40 works total

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

author position
  • first author8
  • middle author11
  • last author2

Across the 21 of 23 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci12
  • physics.comp-ph6
  • cond-mat.mes-hall3
  • cond-mat.stat-mech1
  • physics.chem-ph1

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedNeuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport

526 citations · 2k across the 23 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

physics.comp-ph2022★ 73 cited

Anisotropic and high thermal conductivity in monolayer quasi-hexagonal fullerene: A comparative study against bulk phase fullerene

Haikuan Dong, Chenyang Cao, Penghua Ying +3

Recently a novel two-dimensional (2D) C60​ based crystal called quasi-hexagonal-phase fullerene (QHPF) has been fabricated and demonstrated to be a promising candidate for 2D e…

cond-mat.mtrl-sci2022★ 10 cited

Exactly equivalent thermal conductivity in finite systems from equilibrium and nonequilibrium molecular dynamics simulations

Haikuan Dong, Zheyong Fan, Ping Qian +1

In a previous paper [Physical Review B \textbf{103}, 035417 (2021)], we showed that the equilibrium molecular dynamics (EMD) method can be used to compute the apparent thermal cond…

physics.comp-ph2022★ 463 cited

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

Zheyong Fan, Yanzhou Wang, Penghua Ying +17

We present our latest advancements of machine-learned potentials (MLPs) based on the neuroevolution potential (NEP) framework introduced in [Fan et al., Phys. Rev. B 104, 104309 (2…

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