Clyde A. Daly
University of Notre Dame
11 Papers
19 Citations
Clyde A. Daly is an academic researcher from University of Notre Dame. The author has contributed to research in topics: Ionic liquid & Infrared spectroscopy. The author has an hindex of 8, co-authored 11 publications. Previous affiliations of Clyde A. Daly include Gordon College & Johns Hopkins University.
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Papers
Modeling Carbon Dioxide Vibrational Frequencies in Ionic Liquids: II. Spectroscopic Map
Clyde A. Daly,Eric J. Berquist,Thomas Brinzer,Sean Garrett-Roe,Daniel S. Lambrecht,Steven A. Corcelli +5 more
TL;DR: A spectroscopic map for the asymmetric stretch of CO2 in the 1-butyl-3-methylimidazolium hexafluorophosphate ([C4C1im][PF6]) ionic liquid (IL) is developed using DFT to compute the vibrational frequency of 500 statistically independent CO2 clusters extracted from an MD simulation.
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Counter Cations Affect Transport in Aqueous Hydroxide Solutions with Ion Specificity
Chad I. Drexler,Tierney C. Miller,Bradley A. Rogers,Yuguang C. Li,Clyde A. Daly,Tinglu Yang,Steven A. Corcelli,Paul S. Cremer +7 more
TL;DR: Impedance measurements demonstrate that hydroxide mobility is attenuated by lithium relative to sodium and potassium, and ab initio molecular dynamics simulations and experimental vibrational hydration shell spectroscopy reveal substantially stronger ion pairing between OH- and Li+ than with other cations.
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Modeling Carbon Dioxide Vibrational Frequencies in Ionic Liquids: III. Dynamics and Spectroscopy
TL;DR: The structure and dynamics of a model physisorbing ionic liquid, 1-butyl-3-methylimidazolium hexafluorophosphate, is investigated from the perspective of CO2 using two-dimensional (2D) IR spectroscopy and molecular dynamics simulations, revealing new insights into the interactions of a CO2 solute with the surrounding ionicLiquid.
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Porous PMMA-titania composites: A step towards more sustainable photocatalysis
TL;DR: In this article, an existing surfactant-mediated method for the fabrication of porous poly(methylmethacrylate) (PMMA) membranes has been used to form a support material for the photocatalyst while replacing hazardous dichloromethane with the much more benign acetone.
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Learning from the Machine: Uncovering Sustainable Nanoparticle Design Rules
TL;DR: A network of bags of artificial neural networks is constructed to connect nanoparticle features to the viability of a broad class of organisms upon exposure to improve the odds of survival of these organisms at low temperatures.
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