LabCompass

Shuangyuan Lu

Physics and Astronomy · The Ohio State University

Early career · publishing since 2019Rising activity

Publications

31

Citations

21

Est. group size

~1

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Shuangyuan Lu works in theoretical condensed matter physics, using computational methods like exact diagonalization, density-matrix renormalization group (DMRG) simulations, and Monte Carlo sampling to study quantum many-body systems. Recent work focuses on topological phases of matter, including symmetry-protected topological order, spontaneous symmetry breaking, Floquet (periodically driven) topological insulators, many-body localization, and nonequilibrium dynamics under noise (dephasing). Much of the output includes shared code and data repositories alongside research papers, reflecting a computational simulation-based approach to studying quantum phases.

Topological phases of matterQuantum many-body simulation methods (DMRG, Monte Carlo, exact diagonalization)Symmetry-protected topological order and symmetry breakingFloquet and nonequilibrium quantum dynamicsMany-body localization

Publication output was sparse or absent in the earlier part of the decade but has grown sharply since 2023, with a marked increase in outputs recorded for 2024-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.8/year recently
17182019: 1 publication19202021: 1 publication212022: 2 publications222023: 1 publication232024: 6 publications242025: 7 publications252026: 13 publications1326
Recent publications
Publishes in
  • Zenodo (CERN European Organization for Nuclear Research)×12
  • arXiv (Cornell University)×6
  • Open MIND×5
  • Physical review. B./Physical review. B×3
  • Physical review. A/Physical review, A×1
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By research-topic overlap
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  • Sheng Tan

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  • Ceren B. Dağ

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  • Yuan-Ming Lu

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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