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Linfeng Zhang

14 papers hereh-index 171.4k citations27 works total

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

author position
  • first author3
  • middle author8
  • last author1

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph7
  • physics.comp-ph5
  • cond-mat.mtrl-sci2
same name
  • Linfeng Zhang — 41 papers, h 27
  • Linfeng Zhang — 29 papers, h 10
  • Linfeng Zhang — 25 papers, h 15
  • Linfeng Zhang — 21 papers, h 5
  • Linfeng Zhang — 17 papers, h 8
  • Linfeng Zhang — 17 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
20182026
most citedThe Phase Diagram of a Deep Potential Water Model

363 citations · 898 across the 14 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

physics.chem-ph2021★ 3 cited

Modeling liquid water by climbing up Jacob's ladder in density functional theory facilitated by using deep neural network potentials

Chunyi Zhang, Fujie Tang, Mohan Chen +5

Within the framework of Kohn-Sham density functional theory (DFT), the ability to provide good predictions of water properties by employing a strongly constrained and appropriately…

physics.chem-ph2021★ 81 cited

Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics

Dongdong Wang, Yanze Wang, Junhan Chang +3

Enhanced sampling methods such as metadynamics and umbrella sampling have become essential tools for exploring the configuration space of molecules and materials. At the same time,…

physics.chem-ph2021★ 363 cited

The Phase Diagram of a Deep Potential Water Model

Linfeng Zhang, Han Wang, Roberto Car +1

Using the Deep Potential methodology, we construct a model that reproduces accurately the potential energy surface of the SCAN approximation of density functional theory for water,…

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