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dc.rights.licenseIn Copyrighten_US
dc.creatorAldritch, Emma C.
dc.date.accessioned2022-04-15T14:10:30Z
dc.date.available2022-04-15T14:06:30Z
dc.date.created2022
dc.identifierWLURG38_Aldrich_PHYS_2022
dc.identifier.urihttp://hdl.handle.net/11021/35821
dc.descriptionThesis; [FULL-TEXT AVAILABLE FOLLOWING A 1-YEAR EMBARGO]en_US
dc.descriptionEmma C. Aldritch is a member of the Class of 2022 of Washington and Lee University.en_US
dc.description.abstractI present a traffic model inspired by the motion of molecular motors along microtubules, represented by particles moving along a one-dimensional track of variable length. As the particles move unidirectionally along the track, several processes can occur: additional particles can attach at an unoccupied site, particles already on the track can move to the next open site, or particles on the track can detach. I study the model using mean-field theory and Monte Carlo simulations, with a focus on the steady-state properties and the time evolution of the particle density and particle currents. I then expand the model to include two-dimensional side-stepping along a cylindrical microtubule, as well as bidirectional movement of two different species of motors along tracks of fixed and variable length. Though each model expansion adds complexity, I keep the model general to allow for versatile applications throughout non-equilibrium statistical physics and biology.en_US
dc.format.extent106 pagesen_US
dc.language.isoen_USen_US
dc.rightsThis material is made available for use in research, teaching, and private study, pursuant to U.S. Copyright law. The user assumes full responsibility for any use of the materials, including but not limited to, infringement of copyright and publication rights of reproduced materials. Any materials used should be fully credited with the source.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subject.otherWashington and Lee University -- Honors in Physicsen_US
dc.titleModeling Molecular Traffic: Theory, Simulations, and Potential Applications (thesis)en_US
dc.typeTexten_US
dcterms.isPartOfRG38 - Student Papers
dc.rights.holderAldritch, Emma C.
dc.subject.fastComputer simulationen_US
dc.subject.fastMolecules -- Modelsen_US
local.departmentPhysicsen_US
local.scholarshiptypeHonors Thesisen_US


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