activity
20102016
most citedToughness and Strength of Nanocrystalline Graphene

215 citations · 604 across the 9 of their papers we have counts for

collaborators

10 papers

cond-mat.mtrl-sci2016★ 16 cited

A Generalized Read-Shockley Model and Large Scale Simulations for the Energy and Structure of Graphene Grain Boundaries

Ashivni Shekhawat, Colin Ophus, Robert O. Ritchie

The grain boundary (GB) energy is a quantity of fundamental importance for understanding several key properties of graphene. Here we present a comprehensive theoretical and numeric…

cond-mat.mtrl-sci2016★ 1 cited

Toughness and damage tolerance of fractal hierarchical metamaterials

Ashivni Shekhawat

We present a theory for the toughness, damage tolerance, and tensile strength of a class of hierarchical, fractal, metamaterials. We show that the even though the absolute toughnes…

cond-mat.mtrl-sci2016★ 114 cited

Deformation of crystals: Connections with statistical physics

James P. Sethna, Matthew K. Bierbaum, Karin A. Dahmen +12

We give a bird's-eye view of the plastic deformation of crystals aimed at the statistical physics community, and a broad introduction into the statistical theories of forced rigid…

cond-mat.mtrl-sci2016★ 215 cited

Toughness and Strength of Nanocrystalline Graphene

Ashivni Shekhawat, Robert O. Ritchie

Pristine monocrystalline graphene is claimed to be the strongest material known with remarkable mechanical and electrical properties. However, graphene made with scalable fabricati…

cond-mat.mtrl-sci2015

Large-Scale Experimental and Theoretical Study of Graphene Grain Boundary Structures

Colin Ophus, Ashivni Shekhawat, Haider I Rasool +1

We have characterized the structure of 176 different single-layer graphene grain boundaries using 1000 experimental HRTEM images using a semi-automated structure processing rout…

math.ST2014★ 2 cited

Improving extreme value statistics

Ashivni Shekhawat

The rate of uniform convergence in extreme value statistics is non-universal and can be arbitrarily slow. Further, the relative error can be unbounded in the tail of the approximat…

cond-mat.stat-mech2014

Fracture strength: Stress concentration, extreme value statistics and the fate of the Weibull distribution

Zsolt Bertalan, Ashivni Shekhawat, James P. Sethna +1

The fracture strength distribution of materials is often described in terms of the Weibull law which can be derived by using extreme value statistics if elastic interactions are ig…

cond-mat.stat-mech2012★ 174 cited

From damage percolation to crack nucleation through finite size criticality

Ashivni Shekhawat, Stefano Zapperi, James P. Sethna

We present a unified theory of fracture in disordered brittle media that reconciles apparently conflicting results reported in the literature. Our renormalization group based appro…

cond-mat.stat-mech2011★ 47 cited

Fracture strength of disordered media: Universality, interactions and tail asymptotics

Claudio Manzato, Ashivni Shekhawat, Phani K. V. V. Nukala +3

We study the asymptotic properties of fracture strength distributions of disordered elastic media by a combination of renormalization group, extreme value theory, and numerical sim…

cond-mat.str-el2010★ 35 cited

Dielectric breakdown and avalanches at non-equilibrium metal-insulator transitions

Ashivni Shekhawat, Stefanos Papanikolaou, Stefano Zapperi +1

Motivated by recent experiments on the finite temperature Mott transition in VO2 films, we propose a classical coarse-grained dielectric breakdown model where each degree of freedo…