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Peter Rossky

Peter Rossky

· Harry C. & Olga K. Wiess Chair in Natural Sciences

Rice University · Chemistry

Active 1976–2026

h-index85
Citations27.9k
Papers34617 last 5y
Funding$3.4M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Peter Rossky holds the Harry C. & Olga K. Wiess Chair in Natural Sciences and is a Professor of Chemistry at Rice University. He is a member of the National Academy of Sciences. His research areas include Theory & Computation, Spectroscopy & Imaging. Further details about his background, specific contributions, or career history are not provided on the page.

Research topics

  • Computer Science
  • Artificial Intelligence
  • Physics
  • Biological system
  • Materials science
  • Optics
  • Nanotechnology
  • Optoelectronics
  • Computational physics
  • Chemistry

Selected publications

  • Direct observation of backbone planarization via side-chain alignment in single bulky-substituted polythiophenes

    Proceedings of the National Academy of Sciences · 2018-02-26 · 56 citations

    article

    or 0.25 eV) red-shifted relative to P3HT despite a higher static and dynamic disorder in the former. We ascribe this red shift to a side-chain induced backbone planarization in PDOPT, supported by temperature-dependent ensemble PL spectroscopy. Our atomistic simulations reveal that the bulkier 2,5-dioctylphenyl side chains of PDOPT adopt a clear secondary helical structural motif and thus protect conjugation, i.e., enforce backbone planarity, whereas, for P3HT, this is not the case. These differ…

  • Predicting optical spectra for optoelectronic polymers using coarse-grained models and recurrent neural networks

    Proceedings of the National Academy of Sciences · 2020 · 50 citations

    Senior authorCorresponding

    back-mapping from coarse-grained to atomistic representations followed by spectral computation using quantum chemistry. Our approach is based on a generative deep-learning model: the long-short-term memory recurrent neural network (LSTM-RNN). The latter is suggested by the apparent similarity between natural languages and the mathematical structure of perturbative expansions of, in our case, excited-state energies perturbed by conformational fluctuations. We also use this model to explore the le…

  • Machine-Learned Decision Trees for Predicting Gold Nanorod Sizes from Spectra

    The Journal of Physical Chemistry C · 2021 · 41 citations

    Electron microscopy is often required to correlate the size and shape of plasmonic nanoparticles with their optical properties. Eliminating the need for electron microscopy is one crucial step toward in situ sensing applications, especially for complicated sample conditions such as during irreversible chemical reactions or when particles are embedded in a matrix. Here, we show that a machine learning decision tree can accurately predict gold nanorod dimensions over a wide range of sizes. The mod…

  • Mechanism for plasmon-generated solvated electrons

    Proceedings of the National Academy of Sciences · 2023 · 35 citations

    Solvated electrons are powerful reducing agents capable of driving some of the most energetically expensive reduction reactions. Their generation under mild and sustainable conditions remains challenging though. Using near-ultraviolet irradiation under low-intensity one-photon conditions coupled with electrochemical and optical detection, we show that the yield of solvated electrons in water is increased more than 10 times for nanoparticle-decorated electrodes compared to smooth silver electrode…

  • Isotopic equilibria in aqueous clusters at low temperatures: Insights from the MB-pol many-body potential

    The Journal of Chemical Physics · 2018-02-23 · 29 citations

    articleOpen access

    By combining path-integrals molecular dynamics simulations with the accurate MB-pol potential energy surface, we investigate the role of alternative potential models on isotopic fractionation ratios between H and D atoms at dangling positions in water clusters at low temperatures. Our results show clear stabilizations of the lighter isotope at dangling sites, characterized by free energy differences ΔG that become comparable to or larger than kBT for temperatures below ∼75 K. The comparison betw…

Recent grants

Frequent coauthors

  • Pablo G. Debenedetti

    Princeton University

    57 shared
  • Nicolás Giovambattista

    The Graduate Center, CUNY

    49 shared
  • László Túri

    Eötvös Loránd University

    34 shared
  • Keith P. Johnston

    The University of Texas at Austin

    30 shared
  • Andrew L. Ferguson

    University of Chicago

    25 shared
  • Athanassios Z. Panagiotopoulos

    25 shared
  • Daniel Laría

    University of Buenos Aires

    21 shared
  • Paul F. Barbara

    21 shared

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