LabCompass

Suchuan Dong

Engineering · Purdue University West Lafayette

Established · publishing since 1986

Publications

151

Citations

4,204

Est. group size

~1

Recurring co-author estimate

Active years

40

Publishing since 1986

Research summary
AI-generated

Suchuan Dong develops numerical methods for solving partial differential equations (mathematical models describing how quantities like fluid flow, heat, or electric fields change over space and time), with a strong recent focus on combining these methods with neural networks (extreme learning machines and physics-informed neural networks). Earlier and ongoing work also covers computational fluid dynamics topics such as two-phase fluid flows and fluid-structure interaction. This research is aimed at making PDE-based simulations more accurate and efficient for engineering and physics applications.

Numerical methods for partial differential equationsPhysics-informed and randomized neural networks for scientific computingComputational fluid dynamicsPhase field and multiphase flow modelingError analysis of computational algorithms

Publication output has been fairly steady over the last decade, fluctuating between about 4 and 12 papers per year with a recent average of 6 per year and no clear long-term upward or downward trend.

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

Publication cadence
Publications per year over the last 10 years — averaging 6.0/year recently
2017: 4 publications172018: 6 publications182019: 11 publications192020: 5 publications202021: 7 publications212022: 7 publications222023: 12 publications12232024: 6 publications242025: 5 publications2526
Recent publications
Publishes in
  • Journal of Computational Physics×17
  • arXiv (Cornell University)×14
  • SSRN Electronic Journal×6
  • Computer Methods in Applied Mechanics and Engineering×5
  • Bulletin of the American Physical Society×5
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By research-topic overlap

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 20, 2026.

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