LabCompass

Qiu-Shi Ma

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2012
Perovskite Materials and Applications2D Materials and ApplicationsLuminescence and Fluorescent MaterialsAnalytical Chemistry and SensorsMachine Learning in Materials Science

Publications

20

Citations

172

Est. group size

~1

Recurring co-author estimate

Active years

14

Publishing since 2012

Research summary
AI-generated

Qiu-Shi Ma's work centers on materials for optoelectronics and sensing, including 2D material heterostructures (like graphene and MoS2 combinations), perovskite and chalcogenide semiconductor synthesis, organic light-emitting and photocatalytic materials, and gas sensors based on metal-oxide nanoparticles. Much of the research uses ultrafast spectroscopy to study how charge and energy move through these materials, alongside some use of machine learning to predict material properties. This work would suit students interested in materials chemistry, nanoscale physics, and computational approaches to materials discovery.

2D material heterostructures and charge/energy transportPerovskite and chalcogenide semiconductor synthesisOrganic optoelectronic and phosphorescent materialsGas sensing nanomaterialsMachine learning for materials property prediction

Publication output rose sharply in 2020 and has since declined and leveled off to about 1-3 papers per year through 2024-2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
1718192020: 7 publications7202021: 4 publications212022: 2 publications222023: 2 publications232024: 3 publications242025: 1 publication2526
Recent publications
Publishes in
  • ChemRxiv×7
  • Proceedings of the National Academy of Sciences×1
  • Advanced Functional Materials×1
  • ACS Nano×1
  • The Journal of Physical Chemistry Letters×1
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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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