Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Bulatov, V. V.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2020Roadmap on multiscale materials modeling156citations
  • 2006Dislocation multi-junctions and strain hardening301citations
  • 2005Stochastic simulation of dislocation glide in tantalum and Ta-based alloys29citations
  • 2004Dynamic transitions from smooth to rough to twinning in dislocation motion288citations
  • 2003Anomalous dislocation multiplication in FCC metals64citations

Places of action

Chart of shared publication
Shluger, A.
1 / 4 shared
Hütter, M.
1 / 8 shared
González, C.
1 / 35 shared
Bertin, N.
1 / 1 shared
Kim, W. K.
1 / 1 shared
Foiles, S. M.
1 / 1 shared
Rottler, J.
1 / 1 shared
Cai, W.
2 / 4 shared
Mattsson, A. E.
1 / 1 shared
Csányi, G.
1 / 6 shared
Strachan, A.
1 / 1 shared
Kochmann, D. M.
1 / 2 shared
Geers, M. G. D.
1 / 95 shared
Steinbach, I.
1 / 13 shared
Schultz, P. A.
1 / 1 shared
Sills, R. B.
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Tadmor, E. B.
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Llorca, Javier
1 / 309 shared
Hommes, G.
1 / 2 shared
Rhee, M.
1 / 1 shared
Hiratani, M.
1 / 1 shared
Florando, J. N.
1 / 1 shared
Arsenlis, A.
1 / 6 shared
Pierce, T. G.
1 / 1 shared
Tang, M.
1 / 4 shared
Hsiung, L. L.
1 / 2 shared
Bartelt, M. C.
1 / 1 shared
De La Rubia, T. D.
1 / 1 shared
Srolovitz, David
1 / 65 shared
Deo, C. S.
1 / 1 shared
Marian, J.
1 / 3 shared
De Koning, M.
1 / 1 shared
Chart of publication period
2020
2006
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Co-Authors (by relevance)

  • Shluger, A.
  • Hütter, M.
  • González, C.
  • Bertin, N.
  • Kim, W. K.
  • Foiles, S. M.
  • Rottler, J.
  • Cai, W.
  • Mattsson, A. E.
  • Csányi, G.
  • Strachan, A.
  • Kochmann, D. M.
  • Geers, M. G. D.
  • Steinbach, I.
  • Schultz, P. A.
  • Sills, R. B.
  • Tadmor, E. B.
  • Llorca, Javier
  • Hommes, G.
  • Rhee, M.
  • Hiratani, M.
  • Florando, J. N.
  • Arsenlis, A.
  • Pierce, T. G.
  • Tang, M.
  • Hsiung, L. L.
  • Bartelt, M. C.
  • De La Rubia, T. D.
  • Srolovitz, David
  • Deo, C. S.
  • Marian, J.
  • De Koning, M.
OrganizationsLocationPeople

article

Stochastic simulation of dislocation glide in tantalum and Ta-based alloys

  • Cai, W.
  • Bulatov, V. V.
  • Srolovitz, David
  • Deo, C. S.
Abstract

We employ a kinetic Monte Carlo algorithm to simulate the motion of a1/2〈111〉-oriented screw dislocation on a {011}-slip plane in body centered cubic Ta and Ta-based alloys. The dislocation moves by the kink model: double kink nucleation, kink migration and kink-kink annihilation. Rates of these unit processes are parameterized based upon existing first principles data. Both short-range (solute-dislocation core) and long-range (elastic misfit) interactions between the dislocation and solute are considered in the simulations. Simulations are performed to determine dislocation velocity as a function of stress, temperature, solute concentration, solute misfit and solute-core interaction strength. The dislocation velocity is shown to be controlled by the rate of nucleation of double kinks and the dependence of the double kink nucleation rate on stress and temperature are consistent with existing analytical predictions. In alloys, dislocation velocity depends on both the short- and long-range solute dislocation interactions as well as on the solute concentration. The short-range solute-core interactions are shown to dominate the effects of alloying on dislocation mobility. The present simulation method provides the critical link between atomistic calculations of fundamental dislocation and solute properties and large scale dislocation dynamics that typically employ empirical equations of motion.

Topics
  • impedance spectroscopy
  • mobility
  • simulation
  • strength
  • dislocation
  • tantalum
  • dislocation dynamics