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Dive into the research topics where Ashwin J. Shahani is active.

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Featured researches published by Ashwin J. Shahani.


Scientific Reports | 2015

The Three-Dimensional Morphology of Growing Dendrites

John W. Gibbs; K. A. Mohan; Emine B. Gulsoy; Ashwin J. Shahani; Xianghui Xiao; Charles A. Bouman; M. De Graef; Peter W. Voorhees

The processes controlling the morphology of dendrites have been of great interest to a wide range of communities, since they are examples of an out-of-equilibrium pattern forming system, there is a clear connection with battery failure processes, and their morphology sets the properties of many metallic alloys. We determine the three-dimensional morphology of free growing metallic dendrites using a novel X-ray tomographic technique that improves the temporal resolution by more than an order of magnitude compared to conventional techniques. These measurements show that the growth morphology of metallic dendrites is surprisingly different from that seen in model systems, the morphology is not self-similar with distance back from the tip, and that this morphology can have an unexpectedly strong influence on solute segregation in castings. These experiments also provide benchmark data that can be used to validate simulations of free dendritic growth.


Nano Letters | 2016

In Situ Graphene Growth Dynamics on Polycrystalline Catalyst Foils

Robert S. Weatherup; Ashwin J. Shahani; Zhu Jun Wang; Ken Mingard; Andrew J. Pollard; Marc Georg Willinger; Robert Schloegl; Peter W. Voorhees; Stephan Hofmann

The dynamics of graphene growth on polycrystalline Pt foils during chemical vapor deposition (CVD) are investigated using in situ scanning electron microscopy and complementary structural characterization of the catalyst with electron backscatter diffraction. A general growth model is outlined that considers precursor dissociation, mass transport, and attachment to the edge of a growing domain. We thereby analyze graphene growth dynamics at different length scales and reveal that the rate-limiting step varies throughout the process and across different regions of the catalyst surface, including different facets of an individual graphene domain. The facets that define the domain shapes lie normal to slow growth directions, which are determined by the interfacial mobility when attachment to domain edges is rate-limiting, as well as anisotropy in surface diffusion as diffusion becomes rate-limiting. Our observations and analysis thus reveal that the structure of CVD graphene films is intimately linked to that of the underlying polycrystalline catalyst, with both interfacial mobility and diffusional anisotropy depending on the presence of step edges and grain boundaries. The growth model developed serves as a general framework for understanding and optimizing the growth of 2D materials on polycrystalline catalysts.


Scientific Reports | 2016

Twin-mediated Crystal Growth: an Enigma Resolved

Ashwin J. Shahani; E. Begum Gulsoy; Stefan Othmar Poulsen; Xianghui Xiao; Peter W. Voorhees

During crystal growth, faceted interfaces may be perturbed by defects, leading to a rich variety of polycrystalline growth forms. One such defect is the coherent Σ3 {111} twin boundary, which is widely known to catalyze crystal growth. These defects have a profound effect on the properties of many materials: for example, electron-hole recombination rates strongly depend on the character of the twin boundaries in polycrystalline Si photovoltaic cells. However, the morphology of the twinned interface during growth has long been a mystery due to the lack of four-dimensional (i.e., space and time resolved) experiments. Many controversial mechanisms have been proposed for this process, most of which lack experimental verification. Here, we probe the real-time interfacial dynamics of polycrystalline Si particles growing from an Al-Si-Cu liquid via synchrotron-based X-ray tomography. Our novel analysis of the time evolution of the interfacial normals allows us to quantify unambiguously the habit plane and grain boundary orientations during growth. This, when combined with direct measurements of the interfacial morphology provide the first confirmation of twin-mediated growth, proposed over 50 years ago. Using the insights provided by these experiments, we have developed a unified picture of the phenomena responsible for the dynamics of faceted Si growth.


Nature Communications | 2016

The mechanism of eutectic growth in highly anisotropic materials

Ashwin J. Shahani; Xianghui Xiao; Peter W. Voorhees

In the past 50 years, there has been increasing interest—both theoretically and experimentally—in the problem of pattern formation of a moving boundary, such as a solidification front. One example of pattern formation is that of irregular eutectic solidification, in which the solid–liquid interface is non-isothermal and the interphase spacing varies in ways that are poorly understood. Here, we identify the growth mode of irregular eutectics, using reconstructions from four-dimensional (that is, time and space resolved) X-ray microtomography. Our results show that the eutectic growth process can be markedly different from that seen in previously used model systems and theories based on the ex situ analysis of microstructure. In light of our experimental findings, we present a coherent growth model of irregular eutectic solidification.


Optics Express | 2014

Integrated approach to the data processing of four-dimensional datasets from phase-contrast x-ray tomography

Ashwin J. Shahani; E. Begum Gulsoy; John W. Gibbs; Julie L. Fife; Peter W. Voorhees

Phase contrast X-ray tomography (PCT) enables the study of systems consisting of elements with similar atomic numbers. Processing datasets acquired using PCT is nontrivial because of the low-pass characteristics of the commonly used single-image phase retrieval algorithm. In this study, we introduce an image processing methodology that simultaneously utilizes both phase and attenuation components of an image obtained at a single detector distance. This novel method, combined with regularized Perona-Malik filter and bias-corrected fuzzy C-means algorithm, allows for automated segmentation of data acquired through four-dimensional PCT. Using this integrated approach, the three-dimensional coarsening morphology of an Aluminum-29.9 wt% Silicon alloy can be analyzed.


Acta Materialia | 2015

The dynamics of coarsening in highly anisotropic systems: Si particles in Al–Si liquids

Ashwin J. Shahani; Emine B. Gulsoy; V.J. Roussochatzakis; John W. Gibbs; Julie L. Fife; Peter W. Voorhees


Materials Science and Engineering A-structural Materials Properties Microstructure and Processing | 2016

Ostwald Ripening of Faceted Si Particles in an Al-Si-Cu Melt

Ashwin J. Shahani; Xianghui Xiao; Kwan Skinner; Matthew Peters; Peter W. Voorhees


Materials Transactions | 2014

Four-dimensional morphological evolution of an aluminum silicon alloy using propagation-based phase contrast x-ray tomographic microscopy

Emine B. Gulsoy; Ashwin J. Shahani; John W. Gibbs; Julie L. Fife; Peter W. Voorhees


ECS Transactions | 2011

Morphological Transformations and Electrochemical Properties of Hydrothermally Synthesized MnO2 Nanostructures

Ashwin J. Shahani; Jingjie Wu; Laying Wu; Qian Wang; Xiao-Dong Zhou


Journal of Materials Research | 2016

Twin-mediated crystal growth

Ashwin J. Shahani; Peter W. Voorhees

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Xianghui Xiao

Argonne National Laboratory

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M. De Graef

Carnegie Mellon University

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