LabCompass

Inho Song

Materials Science · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1988
X-ray Diffraction in CrystallographyCrystallization and Solubility StudiesConducting polymers and applicationsOrganic Electronics and PhotovoltaicsSynthesis and Properties of Aromatic Compounds

Publications

110

Citations

3,745

Est. group size

~4

Recurring co-author estimate

Active years

39

Publishing since 1988

Research summary
AI-generated

Inho Song works on organic and hybrid semiconducting materials, with a particular focus on chirality (molecular handedness) in these materials and how it can be used to detect or emit circularly polarized light. This work spans molecule and crystal design, self-assembled nanostructures, and applications such as photomemory devices, optoelectronic sensors, and artificial retina-like devices.

Chiral organic and hybrid semiconductorsCircularly polarized light detection and imagingPerylene diimide-based supramolecular materialsOrganic optoelectronic devices (photomemory, photodetectors, electrochromics)Crystal structure and self-assembly of functional materials

Publication output peaked around 2018-2019 and has generally declined since, with recent years (2023-2026) showing lower and fairly steady annual counts compared to earlier in the decade.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.2/year recently
2017: 4 publications172018: 13 publications13182019: 12 publications192020: 7 publications202021: 5 publications212022: 7 publications222023: 10 publications232024: 4 publications242025: 3 publications252026: 2 publications26
Recent publications
Publishes in
  • The Cambridge Structural Database×19
  • Advanced Materials×6
  • ACS Applied Materials & Interfaces×5
  • Journal of Materials Chemistry C×5
  • Nature Communications×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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