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Researcher Evidence Record

Yaolong Zhang

This bounded record lists 18 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include physics.chem-ph, cond-mat.mtrl-sci, physics.comp-ph work dated 2019 to 2025. The record describes sources and coverage; it makes no judgment about the person.

Compiled coverage vector

Measured lane counts only. Not a trust score or person verdict.

Enumerated paper scope: 3 fields (physics.chem-ph, cond-mat.mtrl-sci, physics.comp-ph) · 2019-2025 sources: authors, author_identifiers · paper_authors · author_works · current_verdicts · cited_works

A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.

Attributed works

A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.

  1. 2025 Pith paper

    Node-Equivariant Message Passing for Efficient and Accurate Machine Learning Interatomic Potentials

    physics.chem-ph provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  2. 2025 Pith paper

    The Evolution of Machine Learning Potentials for Molecules, Reactions and Materials

    physics.chem-ph provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  3. 2024 Pith paper

    Efficient Sampling for Machine Learning Electron Density and Its Response in Real Space

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  4. 2024 Pith paper

    A Simple and Efficient Equivariant Message Passing Neural Network Model for Non-Local Potential Energy Surface

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  5. 2024 Pith paper

    Schr\"{o}dingerNet: A Universal Neural Network Solver for The Schr\"{o}dinger Equation

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  6. 2024 Pith paper

    Benchmarking of machine learning interatomic potentials for reactive hydrogen dynamics at metal surfaces

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    4
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  7. 2023 Pith paper

    Universal Machine Learning for the Response of Atomistic Systems to External Fields

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  8. 2021 Pith paper

    REANN: A PyTorch-based End-to-End Multi-functional Deep Neural Network Package for Molecular, Reactive and Periodic Systems

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  9. 2021 Pith paper

    Learning Dipole Moments and Polarizabilities

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  10. 2021 Pith paper

    Physically Motivated Recursively Embedded Atom Neural Networks: Incorporating Local Completeness and Nonlocality

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  11. 2020 Pith paper

    Determining the effect of hot electron dissipation on molecular scattering experiments at metal surfaces

    cond-mat.mtrl-sci provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  12. 2020 Pith paper

    Accelerating Atomistic Simulations with Piecewise Machine Learned Ab Initio Potentials at Classical Force Field-like Cost

    physics.comp-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  13. 2020 Pith paper

    Efficient and Accurate Simulations of Vibrational and Electronic Spectra with Symmetry-Preserving Neural Network Models for Tensorial Properties

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  14. 2020 Pith paper

    Automatically growing global reactive neural network potential energy surfaces: a trajectory free active learning strategy

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  15. 2019 Pith paper

    Symmetry-Adapted High Dimensional Neural Network Representation of Electronic Friction Tensor of Adsorbates on Metals

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  16. 2019 Pith paper

    Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  17. 2019 Pith paper

    Strong Vibrational Relaxation of NO Scattered from Au(111): Importance of an Accurate Adiabatic Potential Energy Surface

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  18. 2019 Pith paper

    Adiabatic and Nonadiabatic Energy Dissipation during Scattering of Vibrationally Excited CO from Au(111)

    physics.chem-ph provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Yaolong Zhang
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.

Evidence apparatus

The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.

LaneStateObservedBoundary and source
identity Measured 2 Canonical identity row plus public typed identifiers.
source=authors, author_identifiers
papers Measured 18 of 18 bounded rows Rows attributed to this author UUID in the Pith corpus.
source=paper_authors
works Measured zero 0 of 0 bounded rows Imported works not duplicated by the paper ledger.
source=author_works
reviews Measured 2 of 18 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured 1 of 18 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 22 of 18 bounded rows Shared-work edges from admitted paper rows.
source=paper_authors
account Unavailable No public count of 1 bounded rows Account metadata is separate from corpus evidence.
source=users.author_id
Public identity sources
  • name variant
    Yaolong Zhang
    backfill
    confidence 0.6
Enumerated research scope

Fields and dates come only from enumerated, non-disputed Pith paper rows. They do not claim career completeness.

  • physics.chem-ph16 rows
  • cond-mat.mtrl-sci1 rows
  • physics.comp-ph1 rows
  • 20194 rows
  • 20204 rows
  • 20213 rows
  • 20231 rows
  • 20244 rows
  • 20252 rows
Shared-work index
Record scope

The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.

Paper findings remain attached to papers. They do not become findings about this researcher.