國立虎尾科技大學 |

Computer-Aided Understanding of Perturbations in Soft Matter Systems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computer-Aided Understanding of Perturbations in Soft Matter Systems./
作者:	Uralcan, Betul.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	171 p.
附註:	Source: Dissertation Abstracts International, Volume: 80-07(E), Section: B.
Contained By:	Dissertation Abstracts International80-07B(E).
標題:	Chemical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13425974
ISBN:	9780438866942

Computer-Aided Understanding of Perturbations in Soft Matter Systems.
Uralcan, Betul.

Computer-Aided Understanding of Perturbations in Soft Matter Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 171 p.

Source: Dissertation Abstracts International, Volume: 80-07(E), Section: B.

Thesis (Ph.D.)--Princeton University, 2019.

This dissertation aims to advance the fundamental knowledge on the structure and dynamics of condensed matter, focusing on systems relevant to emerging problems in biotechnology and energy. We aim to do this using tools and techniques derived from statistical mechanics with the aid of computer simulations, and when appropriate, combined with principles from experimental science.

ISBN: 9780438866942Subjects--Topical Terms:

555952
Chemical engineering.

Computer-Aided Understanding of Perturbations in Soft Matter Systems.
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500 $a Source: Dissertation Abstracts International, Volume: 80-07(E), Section: B.
500 $a Adviser: Pablo G. Debenedetti.
502 $a Thesis (Ph.D.)--Princeton University, 2019.
520 $a This dissertation aims to advance the fundamental knowledge on the structure and dynamics of condensed matter, focusing on systems relevant to emerging problems in biotechnology and energy. We aim to do this using tools and techniques derived from statistical mechanics with the aid of computer simulations, and when appropriate, combined with principles from experimental science.
520 $a In the first part, we study the effects of solution composition on the electrochemical response of a double layer capacitor using electrical impedance spectroscopy measurements and molecular dynamics simulations in a constant potential ensemble. We find that capacitance first increases with ion concentration following its expected ideal solution behavior but decreases upon approaching the pure ionic liquid limit.
520 $a In the second part, we use atomistic replica-exchange molecular dynamics simulations and thermodynamic analysis to investigate the effects of ionic liquid-induced perturbations on the folding/unfolding thermodynamics of the Trp-cage miniprotein, and compare our findings to circular dichroism measurements. We find that ionic liquid-induced denaturation resembles cold unfolding, where unfolded states are populated by compact, partially folded structures in which elements of the secondary structure are conserved, while the tertiary structure is disrupted.
520 $a In the third part, we perform a fully atomistic computational study of Trp-cage in explicit water, and construct the complete stability diagram in the (P,T) plane. At ambient temperature, we find that application of pressure shifts the equilibrium of conformational states towards denaturation. Below 250K, the stability of the native fold depends non-monotonically upon pressure. Our simulations also show while cold unfolding and thermal denaturation mechanisms differ significantly at ambient pressure, they exhibit progressive similarity at elevated pressures.
520 $a In the final part, we consider three commonly used molecular water models (ST2, TIP4P/2005, and TIP5P) that support the existence of the metastable liquid-liquid transition. We demonstrate that a corresponding-states-like rescaling of pressure and temperature results in a significant degree of universality in the pattern of thermodynamic response function extrema. We also report an intriguing correlation between the location of the liquid-liquid critical point, the density extrema locus, and the liquid-vapor stability limit, and demonstrate a similar correlation for two theoretical models.
590 $a School code: 0181.
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650 4 $a Biophysics. $3 581576
650 4 $a Energy. $3 784773
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