<mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-7.xsd"><mods:titleInfo><mods:title>Large-Deviation Theory Approach to Systems with Orientational Order: Results for Two and Three Dimensional Liquid Crystals</mods:title></mods:titleInfo><mods:typeOfResource authority="primo">dissertations</mods:typeOfResource><mods:name type="personal"><mods:namePart>Mainas, Eleftherios</mods:namePart><mods:role><mods:roleTerm type="text">creator</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart>Stratt, Richard</mods:namePart><mods:role><mods:roleTerm type="text">Advisor</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart>Rubenstein, Brenda</mods:namePart><mods:role><mods:roleTerm type="text">Reader</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart>Marston, Brad</mods:namePart><mods:role><mods:roleTerm type="text">Reader</mods:roleTerm></mods:role></mods:name><mods:name type="corporate"><mods:namePart>Brown University. Department of Chemistry</mods:namePart><mods:role><mods:roleTerm type="text">sponsor</mods:roleTerm></mods:role></mods:name><mods:originInfo><mods:copyrightDate>2023</mods:copyrightDate></mods:originInfo><mods:physicalDescription><mods:extent>18, 126 p.</mods:extent><mods:digitalOrigin>born digital</mods:digitalOrigin></mods:physicalDescription><mods:note type="thesis">Thesis (Ph. D.)--Brown University, 2023</mods:note><mods:genre authority="aat">theses</mods:genre><mods:abstract>Problems like describing the extent of order in isotropic liquid crystals, the extend of magnetization in magnetic systems and finding polymer end-to-end distances, can be described in terms of the probability distributions of collective molecular orientations. However, standard statistical mechanical methods for evaluating these distributions fail when large fluctuations become important, as they do close to the isotropic/nematic transition. Moreover, it is even difficult to extract quantitative details on large fluctuation behavior from simulations because of numerical noise. Using large-deviation theory, we described an approach to computing expressions for these probability distributions that can make use of simulation information to accurately compute even the large fluctuation limit of these distributions. Large-deviation theory can be shown to connect the applied field/orientational-order parameter equation of state to the desired probability distribution. The key is to think about the limiting extremes of the system’s response to an applied field. When the field is weak, the central-limit theorem applies, but in the presence of a strong field, individual rotors feel a mean-field from the rest of the system. We show that simple Pade’ interpolation between these limits generates a form for the equation of state that leads to a way of generating accurate orientational probability distributions from simulation.</mods:abstract><mods:subject><mods:topic>Molecular Dynamics Simulation</mods:topic></mods:subject><mods:subject authority="fast" authorityURI="http://id.worldcat.org/fast" valueURI="http://id.worldcat.org/fast/00999541"><mods:topic>Liquid crystals</mods:topic></mods:subject><mods:subject><mods:topic>Large deviation theory</mods:topic></mods:subject><mods:subject><mods:topic>Random matrix theory</mods:topic></mods:subject><mods:subject><mods:topic>Orientational order</mods:topic></mods:subject><mods:language><mods:languageTerm authority="iso639-2b">English</mods:languageTerm></mods:language><mods:recordInfo><mods:recordContentSource authority="marcorg">RPB</mods:recordContentSource><mods:recordCreationDate encoding="iso8601">20230929</mods:recordCreationDate></mods:recordInfo></mods:mods>