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Arijit Maitra

Publications and source records attributed to Arijit Maitra.

4 recordsLinked to original sources

Extracting Rates and Activation Free Energies of Martensitic Transitions Using Nanomechanical Force Statistics: Theory, Models, and Analysis

Nanomechanical responses (force-time profiles) of crystal lattices under deformation exhibit random critical jumps, reflecting the underlying structural transition processes. Despite extensive data collection, interpreting dynamic critical responses and their underlying mechanisms remains a significant challenge. This study explores a microscopic theoretical approach to analyse critical force fluctuations in martensitic transitions. Extensive sampling of the critical forces was performed using nonequilibrium molecular dynamics simulations of an atomic model of single-crystalline titanium nickel. We demonstrate that a framework of nonequilibrium statistical mechanics offers a principled explanation of the relationship between strain rate and the critical force distribution as well as its mean. The martensitic transition is represented on a free energy landscape, taking into account the thermally activated evolution of atomic arrangements over a barrier during its time-dependent deformation. The framework enables consistent inference of the relevant fundamental properties (e.g., intrinsic rate, activation free energy) that define the rate process of structural transition. The study demonstrates how the statistical characterisation of nanomechanical response-stimulus patterns can offer microscopic insights into the deformation behaviours of crystalline materials.

cond-mat.mtrl-sci

Interpreting Force Response Patterns of a Mechanically Driven Crystallographic Phase Transition

Mechanically induced crystallographic phase transformation that reflects dynamic stress responses of intrinsically stochastic nature is a pertinent yet much less well-understood phenomenon. We focus on understanding the physical significance of stochasticity and how it can enable inference of principles underlying a crystallographic phase transformation. For interpreting the mechanical responses, a statistical approach of mapping the transformation dynamics to a probabilistic escape of crystallographic states defined on a free energy landscape is shown to reliably explain the patterns of response. We demonstrate that stochastic responses associated with a structural phase transformation can offer a reliable quantitative tool for unravelling the energy profile, intrinsic kinetics, and microscopic details of solid-to-solid crystallographic transitions.

cond-mat.mtrl-sci

Understanding correlation effects for ion conduction in polymer electrolytes

Polymer electrolytes typically exhibit diminished ionic conductivity due to the presence of correlation effects between the cations and anions. Microscopically, transient ionic aggregates, e.g. {\it ion-pairs}, {\it ion-triplets} or higher order ionic clusters, engender ionic correlations. Employing {\it all-atom} simulation of a model polymer electrolyte comprising of poly(ethylene oxide) and lithium iodide, the ionic correlations are explored through construction of elementary functions between pairs of the ionic species that qualitatively explains the spatio-temporal nature of these correlations. Furthermore, commencing from the exact Einstein-like equation describing the collective diffusivity of the ions in terms of the average diffusivity of the ions (i.e. the self terms) and the correlations from distinct pairs of ions, several phenomenological parameters are introduced to keep track of the simplification procedure that finally boils down to the recently proposed phenomenological model by Stolwijk-Obeidi (SO) [N. A. Stolwijk and S. Obeidi, Phys. Rev. Lett. 93, 125901, 2004]. The approximation parameters, which can be retrieved from simulations, point to the necessity of additional information in order to fully describe the correlation effects apart from merely the fraction of ion-pairs which apparently accounts for the correlations originating from only the nearest neighbor structural correlations. These parameters are close to but not exactly unity as assumed in the SO model. Finally, as an application of the extended SO model one is able to estimate the dynamics of the free and non-free ions as well as their fractions from the knowledge of the single particle diffusivities and the collective diffusivity of the ions.

cond-mat.mtrl-sci

Understanding Segmental Dynamics in Polymer Electrolytes: A Computer Study

We study the segmental dynamics of poly(ethylene oxide) (PEO) from microscopic simulations in the neat polymer and a polymer electrolyte (PEO/LiBF$_4$) by analyzing the normal modes. We verify the applicability of the Rouse theory, specifically for the polymer electrolyte where dynamic heterogeneities, arising from cation-polymer interactions, alter the mobility non-uniformly along the chains. We find that the Rouse modes for both the systems are orthogonal despite the presence of non-exponential relaxation of the modes and violation of the Gaussian self-similarity of the chains. The slowdown of the segmental dynamics in the polymer electrolyte is rationalised by an order of magnitude increase in the friction coefficient for those monomers which are bound by cations. In general, for the electrolyte the Rouse predictions for the dynamics of segments (both free and/or bound) agree well except for very short times.

cond-mat.soft