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Dive into the research topics where Ashlie Martini is active.

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Featured researches published by Ashlie Martini.


Biomacromolecules | 2013

Thermal Expansion of Self-Organized and Shear-Oriented Cellulose Nanocrystal Films

Jairo A. Diaz; Xiawa Wu; Ashlie Martini; Jeffrey P. Youngblood; Robert J. Moon

The coefficient of thermal expansion (CTE) of cellulose nanocrystal (CNC) films was characterized using novel experimental techniques complemented by molecular simulations. The characteristic birefringence exhibited by CNC films was utilized to calculate the in-plane CTE of self-organized and shear-oriented self-standing CNC films from room temperature to 100 °C using polarized light image correlation. CNC alignment was estimated via Hermans order parameter (S) from 2D X-ray diffraction measurements. We found that films with no preferential CNC orientation through the thickness (S: ∼ 0.0) exhibited an isotropic CTE (∼25 ppm/K). In contrast, films with aligned CNC orientations (S: ∼0.4 to 0.8) had an anisotropic CTE response: For the highest CNC alignment (S: 0.8), the CTE parallel to CNC alignment was ∼9 ppm/K, while that perpendicular to CNC alignment was ∼158 ppm/K. CNC film thermal expansion was proposed to be due primarily to single crystal expansion and CNC-CNC interfacial motion. The relative contributions of inter- and intracrystal responses to heating were explored using molecular dynamics simulations.


Journal of Vacuum Science and Technology | 2013

Molecular Dynamics Simulation of Atomic Friction: A Review and Guide

Yalin Dong; Qunyang Li; Ashlie Martini

This paper reviews recent progress in molecular dynamics simulation of atomic-scale friction measured by an atomic force microscopy. Each section of the review focuses on an individual condition or parameter that affects atomic friction including materials, surfaces, compliance, contact area, normal load, temperature, and velocity. The role each parameter plays is described in the context of both experimental measurements and simulation predictions. In addition, the discussion includes an overview of the research communitys current understanding of observed effects, guidelines for implementation of those effects in an atomistic simulation, and suggestions for future research to address open questions. Taken together, this review conveys the message that friction at the atomic scale is affected by many interrelated parameters and that the use of molecular dynamics simulation as a predictive tool can be accomplished only through careful model design.


Cellulose | 2013

Crystalline cellulose elastic modulus predicted by atomistic models of uniform deformation and nanoscale indentation

Xiawa Wu; Robert J. Moon; Ashlie Martini

The elastic modulus of cellulose Iβ in the axial and transverse directions was obtained from atomistic simulations using both the standard uniform deformation approach and a complementary approach based on nanoscale indentation. This allowed comparisons between the methods and closer connectivity to experimental measurement techniques. A reactive force field was used that explicitly describes hydrogen bond, coulombic and van der Waals interactions, allowing each contribution to the inter- and intra-molecular forces to be analyzed as a function of crystallographic direction. The uniform deformation studies showed that the forces dominating elastic behavior differed in the axial and transverse directions because of the relationship between the direction of the applied strain and the hydrogen bonding planes. Simulations of nanoscale indentation were then introduced to model the interaction between a hemispherical indenter with the


Journal of Applied Physics | 2012

Role of wrinkle height in friction variation with number of graphene layers

Zhijiang Ye; Chun Tang; Yalin Dong; Ashlie Martini


Nanotechnology | 2013

Atomic roughness enhanced friction on hydrogenated graphene

Yalin Dong; Xiawa Wu; Ashlie Martini

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Journal of Tribology-transactions of The Asme | 2007

Simulation of sliding wear in mixed lubrication

Dong Zhu; Ashlie Martini; Wenzhong Wang; Yuanzhong Hu; Bohdan Lisowsky; Q. Jane Wang


Biomacromolecules | 2014

Thermal Conductivity in Nanostructured Films: From Single Cellulose Nanocrystals to Bulk Films

Jairo A. Diaz; Zhijiang Ye; Xiawa Wu; Arden L. Moore; Robert J. Moon; Ashlie Martini; Dylan J. Boday; Jeffrey P. Youngblood

surface of a cellulose Iβ rod. The role of indenter size, loading force and indentation speed on the transverse elastic modulus was studied and, for optimized parameters, the results found to be in good agreement with experimentally-measured transverse elastic modulus for individual cellulose crystals.


Cellulose | 2014

Tensile strength of Iβ crystalline cellulose predicted by molecular dynamics simulation

Xiawa Wu; Robert J. Moon; Ashlie Martini

Molecular dynamics simulations are performed to study the frictional behavior of graphene. It is found that the friction between a diamond tip and graphene decreases with increasing number of graphene layers. This behavior is also affected by the graphene sheet size; specifically, the effect of the number of layers on friction becomes significant only when the modeled graphene sheets exceed a critical length. We further show that the frictional behavior can be directly correlated to the height of near-contact wrinkles that resist sliding. These observations are rationalized in terms of the ability of multiple sheets to act as a single material as they resist wrinkle formation.


Journal of Tribology-transactions of The Asme | 2009

A multilevel model for elastic-plastic contact between a sphere and a flat rough surface

F. Steven Wang; Joseph M. Block; W. Wayne Chen; Ashlie Martini; Kun Zhou; L. M. Keer; Q. Jane Wang

Atomic friction on hydrogenated graphene is investigated using molecular dynamics simulations. Hydrogenation is found to increase friction significantly, and the atomic-level information provided by the simulations reveals that atomic roughness induced by hydrogenation is the primary cause of the friction enhancement. Other proposed mechanisms, specifically adhesion and rigidity, are excluded based on the simulation results and analyses performed using the Prandtl-Tomlinson model. In addition, it is found that friction does not monotonically increase with hydrogen coverage on the graphene surface; instead, a maximum friction is observed at a hydrogen coverage between 5 and 10%.


Tribology Transactions | 2010

Rolling Contact Fatigue Performance of Vibro-Mechanical Textured Surfaces

Aaron Greco; Ashlie Martini; Yuchuan Liu; Chih Lin; Qian J. Wang

Sliding wear is a significant surface failure mode in many mechanical components. The magnitude of changes in surface topography due to wear may be comparable to or larger than the original surface roughness and elastic deformation. However, wear has rarely been incorporated into the numerical models used as predictive tools in engineering practice. This paper presents a numerical approach to simulate the wear process based on the deterministic mixed elastohydrodynamic lubrication (EHL) model developed and modified by Zhu and Hu (2001, Tribol. Trans., 44, pp. 383‐398). It is assumed that wear takes place at locations where the surfaces are in direct contact, and the wear rate at those local contact spots is proportional to the relative sliding speed, the local contact pressure, and inversely proportional to the hardness of the surface. At each simulation cycle, the distributions of lubricant film thickness and contact pressure are calculated by using the mixed EHL model. The material removal at each contact location is evaluated and the surface topography modified correspondingly. The renewed surface topography is then used for the next cycle. The model is formulated such that any mathematically expressed wear law can be implemented, and therefore, the simulation can be applied to a wide variety of engineering applications. DOI: 10.1115/1.2736439

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Zhijiang Ye

University of California

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Hongyu Gao

University of California

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Qian Wang

Northwestern University

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Robert W. Carpick

University of Pennsylvania

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Xiaoli Hu

University of California

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Seth Lichter

Northwestern University

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Samir Aouadi

University of North Texas

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