Skip to content
DraconiticResearch
Search Sources API
194,067 studies31 sourcesUpdated 37 min ago
Peer-reviewedLicence not statedJournal of Chemical Information and Modeling

QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities

  • Fengxu Yang1
  • Jack D. Evans1
  1. 1School of Physics, Chemistry and Earth Sciences, Adelaide University, North Terrace, Adelaide 5005, South Australia, Australia
Open at sourcePDFDOICite

Related

  1. From sparse quantum-computing data to atomistic simulation with universal machine-learning interatomic potentials
    Tuan Minh Do, Yuichiro Yoshida, Kenji Ishihara +1
    arXivPreprintarXiv licenceFull textPhysical chemistryQuantum physics & quantum informationarXiv
  2. A Lightweight Universal Machine-Learning Interatomic Potential via Knowledge Distillation for Scalable Atomistic Simulations
    Sangmin Oh, J.H. You, Jaesun Kim +4
    Journal of Chemical Information and ModelingPeer-reviewedLicence not statedFull text9 citedMaterials & polymersOpenAlex
  3. Assessment of CO₂ adsorption capacity in Wollastonite using atomistic simulation
    Hamidréza Ramézani, Jena Jeong, Suresh K Bhatia +1
    Journal of CO2 UtilizationPeer-reviewedPublisher termsFull textMaterials & polymersTheoretical & computational chemistryHAL
  4. Hierarchical universal open structure dataset for atomistic modeling
    Sofiia Chorna, Cesare Malosso, Jonathan Schmidt +1
    arXivPreprintarXiv licenceFull textPhysical chemistryarXiv
  5. Fast and Accurate Equivariant Foundation Models for Atomistic Simulation
    Seán R. Kavanagh, Chuin Wei Tan, Menghang Wang +12
    arXivPreprintCC BY 4.0Full text12 citedPhysical chemistryApplied physics & instrumentationarXivOpenAlex

Cite

BibTeXRIS
BibTeX
@article{yang2026quasar,
  title = {{QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities}},
  author = {Fengxu Yang and Jack D. Evans},
  journal = {Journal of Chemical Information and Modeling},
  year = {2026},
  month = may,
  doi = {10.1021/acs.jcim.6c00295},
  url = {http://arxiv.org/abs/2602.00185},
}
RIS
TY  - JOUR
TI  - QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities
AU  - Fengxu Yang
AU  - Jack D. Evans
PY  - 2026
DA  - 2026/05/14
JO  - Journal of Chemical Information and Modeling
DO  - 10.1021/acs.jcim.6c00295
UR  - http://arxiv.org/abs/2602.00185
SN  - 1549-9596
SN  - 1549-960X
ER  -