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researcher

Jun Fang

9 papers hereh-index 8262 citations21 works total

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

author position
  • first author2
  • middle author5
  • last author1

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • physics.comp-ph4
  • physics.chem-ph2
  • cond-mat.mtrl-sci1
  • cond-mat.stat-mech1
  • math.NA1
same name
  • Jun Fang — 61 papers, h 49
  • Jun Fang — 15 papers, h 12
  • Jun Fang — 13 papers, h 5
  • Jun Fang — 10 papers, h 4
  • Jun Fang — 8 papers, h 4
  • Jun Fang — 7 papers, h 7

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
20122020
most citedSampling the isothermal-isobaric ensemble by Langevin dynamics

23 citations · 68 across the 8 of their papers we have counts for

collaborators
Showing 2016 · physics.comp-phShow all

3 papers · 2 filters

physics.comp-ph2016

Multiple Staggered Mesh Ewald: Boosting the Accuracy of the Smooth Particle Mesh Ewald Method

Han Wang, Xingyu Gao, Jun Fang

The smooth particle mesh Ewald (SPME) method is the standard method for computing the electrostatic interactions in the molecular simulations. In this work, the multiple staggered…

physics.comp-ph2016★ 21 cited

On the existence of the optimal order for wavefunction extrapolation in Born-Oppenheimer molecular dynamics

Jun Fang, Xingyu Gao, Haifeng Song +1

Wavefunction extrapolation greatly reduces the number of self-consistent field (SCF) iterations and thus the overall computational cost of Born-Oppenheimer molecular dynamics (BOMD…

physics.comp-ph2016★ 13 cited

Parallel 3-dim fast Fourier transforms with load balancing of the plane waves

Xingyu Gao, Zeyao Mo, Jun Fang +1

The plane wave method is most widely used for solving the Kohn-Sham equations in first-principles materials science computations. In this procedure, the three-dimensional (3-dim) t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.