LabCompass

Yingheng Tang

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2016
Photonic and Optical DevicesNeural Networks and Reservoir ComputingOptical Network TechnologiesPhotonic Crystals and ApplicationsMachine Learning in Materials Science

Publications

56

Citations

397

Est. group size

~1

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Yingheng Tang works at the intersection of photonics, materials science, and machine learning, developing computational tools such as optical neural networks, GPU-accelerated simulation software for magnetic materials, and multimodal AI models that help interpret materials science data. This work combines high-performance computing, physics-based simulation, and modern machine learning methods (including large language models) to accelerate scientific discovery in optics and materials engineering.

Photonics and optical computingMachine learning for materials scienceMicromagnetics and spintronics simulationMultimodal AI and large language models for scienceHigh-performance scientific computing

Publication output was low before 2020, rose to a steady 4-10 per year through the early 2020s, and shows a sharp increase in 2025-2026, suggesting growing recent activity.

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

Publication cadence
Publications per year over the last 10 years — averaging 7.4/year recently
172018: 1 publication182019: 1 publication192020: 8 publications202021: 8 publications212022: 10 publications222023: 4 publications232024: 5 publications242025: 6 publications252026: 12 publications1226
Recent publications
Publishes in
  • arXiv (Cornell University)×12
  • Research Square×5
  • Conference on Lasers and Electro-Optics×4
  • Zenodo (CERN European Organization for Nuclear Research)×4
  • Laser & Photonics Review×3
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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 20, 2026.

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