Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…
Thuc-Quyen Nguyen

Thuc-Quyen Nguyen

Verified

University of California, Santa Barbara · Chemistry and Biochemistry

Active 1999–2024

h-index102
Citations41.2k
Papers448117 last 5y
Funding$2.7M
See your match with Thuc-Quyen Nguyen — sign in to PhdFit.Sign in

Research topics

  • Physics
  • Optics
  • Nanotechnology
  • Chemical physics
  • Optoelectronics
  • Materials science
  • Organic chemistry
  • Chemistry

Selected publications

  • Unifying Charge Generation, Recombination, and Extraction in Low‐Offset Non‐Fullerene Acceptor Organic Solar Cells

    Advanced Energy Materials · 2020 · 103 citations

    Senior authorCorresponding
    • Materials science
    • Chemical physics
    • Nanotechnology

    Abstract Even though significant breakthroughs with over 18% power conversion efficiencies (PCEs) in polymer:non‐fullerene acceptor (NFA) bulk heterojunction organic solar cells (OSCs) have been achieved, not many studies have focused on acquiring a comprehensive understanding of the underlying mechanisms governing these systems. This is because it can be challenging to delineate device photophysics in polymer:NFA blends comprehensively, and even more complicated to trace the origins of the differences in device photophysics to the subtle differences in energetics and morphology. Here, a systematic study of a series of polymer:NFA blends is conducted to unify and correlate the cumulative effects of i) voltage losses, ii) charge generation efficiencies, iii) non‐geminate recombination and extraction dynamics, and iv) nuanced morphological differences with device performances. Most importantly, a deconvolution of the major loss processes in polymer:NFA blends and their connections to the complex BHJ morphology and energetics are established. An extension to advanced morphological techniques, such as solid‐state NMR (for atomic level insights on the local ordering and donor:acceptor ππ interactions) and resonant soft X‐ray scattering (for donor and acceptor interfacial area and domain spacings), provide detailed insights on how efficient charge generation, transport, and extraction processes can outweigh increased voltage losses to yield high PCEs.

Recent grants

Frequent coauthors

  • Guillermo C. Bazan

    National University of Singapore

    243 shared
  • G. N. Manjunatha Reddy

    Université de Lille

    67 shared
  • Hung Phan

    Fulbright University Vietnam

    54 shared
  • Ming Wang

    North China Institute of Science and Technology

    49 shared
  • Niva A. Ran

    University of California, Santa Barbara

    49 shared
  • Christopher M. Proctor

    Institute of Biomedical Science

    39 shared
  • John A. Love

    39 shared
  • Michael J. Ford

    Lawrence Livermore National Laboratory

    37 shared
  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Thuc-Quyen Nguyen

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup