자료유형 | 학위논문 |
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서명/저자사항 | Design of Stimuli-responsive Bioinspired Materials Using Computational Methods. |
개인저자 | Iscen, Aysenur. |
단체저자명 | Northwestern University. Chemical and Biological Engineering. |
발행사항 | [S.l.]: Northwestern University., 2019. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
형태사항 | 278 p. |
기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
ISBN | 9781088349403 |
학위논문주기 | Thesis (Ph.D.)--Northwestern University, 2019. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Advisor: Schatz, George C. |
이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
요약 | One of the grand challenges in science is development of soft materials that mimic living organisms to optimize the way we use energy, translate or morph reversibly or sense their envi- ronment and respond in a useful fashion. Using the insights from studying biological structures, we hope to design soft matter that can be transformative in emerging areas such as biomedicine, soft robotics and actuators. Design of switchable soft actuators that can be controlled by external stimuli, such as pH, light and ionic strength, requires an understanding of specific molecular interactions. Using atomistic and coarse-grained models with classical molecular dynamics simulations, we provide insight into the conformational changes of bio-inspired materials in response to external stimuli. This thesis explores computational methods used in understand- ing interactions in molecular self-assembly to design novel bio-inspired materials, including a pH-responsive ultrasmall nano-grafted nanobin for drug delivery applications, supramolecular- covalent hybrid polymers for light-activated robotic functions and multivalent cation-induced actuation of DNA-mediated colloidal superlattices. |
일반주제명 | Computational chemistry. Biochemistry. Materials science. |
언어 | 영어 |
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