Coupling in situ experiments and modeling–Opportunities for data fusion, machine learning, and discovery of emergent behavior

MD Sangid - Current Opinion in Solid State and Materials Science, 2020 - Elsevier
This paper reviews recent studies, that not only includes both experiments and modeling
components, but celebrates a close coupling between these techniques, in order to provide …

The feedback loop between theory, simulation and experiment for plasticity and property modeling

TM Pollock, R LeSar - Current Opinion in Solid State and Materials Science, 2013 - Elsevier
Recent advances in theory, simulation and experiment are leading to new capabilities for
understanding and characterizing the relation between dislocation substructure evolution …

[HTML][HTML] Materials informatics for mechanical deformation: A review of applications and challenges

K Frydrych, K Karimi, M Pecelerowicz, R Alvarez… - Materials, 2021 - mdpi.com
In the design and development of novel materials that have excellent mechanical properties,
classification and regression methods have been diversely used across mechanical …

Mapping pure plastic strains against locally applied stress: Revealing toughening plasticity

TEJ Edwards, X Maeder, J Ast, L Berger, J Michler - Science Advances, 2022 - science.org
The deformation of all materials can be separated into elastic and plastic parts. Measuring
the purely plastic component is complex but crucial to fully characterize, understand, and …

Integrating in situ TEM experiments and atomistic simulations for defect mechanics

J Kacher, T Zhu, O Pierron, DE Spearot - Current Opinion in Solid State …, 2019 - Elsevier
With recent advances in computational modeling and in situ transmission electron
microscopy (TEM) technologies, there have been increased efforts to apply these …

Frontiers in the simulation of dislocations

N Bertin, RB Sills, W Cai - Annual Review of Materials Research, 2020 - annualreviews.org
Dislocations play a vital role in the mechanical behavior of crystalline materials during
deformation. To capture dislocation phenomena across all relevant scales, a multiscale …

[HTML][HTML] Data-mining of in-situ TEM experiments: Towards understanding nanoscale fracture

D Steinberger, I Issa, R Strobl, PJ Imrich… - Computational materials …, 2023 - Elsevier
The lifetime and performance of any engineering component, from nanoscale sensors to
macroscopic structures, are strongly influenced by fracture processes. Fracture itself is a …

Spatial strain correlations, machine learning, and deformation history in crystal plasticity

S Papanikolaou, M Tzimas, ACE Reid, SA Langer - Physical Review E, 2019 - APS
Abstract Systems far from equilibrium respond to probes in a history-dependent manner. The
prediction of the system response depends on either knowing the details of that history or …

Quantifying the early stages of plasticity through nanoscale experiments and simulations

KJ Van Vliet, J Li, T Zhu, S Yip, S Suresh - Physical Review B, 2003 - APS
Nucleation and kinetics of defects at the atomic scale provide the most fundamental
information about the mechanical response of materials and surfaces. Recent advances in …

Atomistically informed dislocation dynamics in fcc crystals

E Martinez, J Marian, A Arsenlis, M Victoria… - Journal of the …, 2008 - Elsevier
We develop a nodal dislocation dynamics (DD) model to simulate plastic processes in fcc
crystals. The model explicitly accounts for all slip systems and Burgers vectors observed in …