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Title: Design and analysis of forward and reverse models for predicting defect accumulation, defect energetics, and irradiation conditions

Authors:
 [1];  [2]; ORCiD logo [2];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1426798
Alternate Identifier(s):
OSTI ID: 1438146; OSTI ID: 1778327
Report Number(s):
SAND-2018-2012J; LA-UR-17-29959
Journal ID: ISSN 0927-0256; 660923
Grant/Contract Number:  
AC04-94AL85000; NA0003525; AC52-06NA25396; 20170615ER
Resource Type:
Accepted Manuscript
Journal Name:
Computational Materials Science
Additional Journal Information:
Journal Volume: 148; Journal Issue: C; Journal ID: ISSN 0927-0256
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Radiation damage; Cluster dynamics modeling; Design of computer experiments; Statistical analysis; Reduced-order model

Citation Formats

Stewart, James A., Kohnert, Aaron A., Capolungo, Laurent, and Dingreville, Rémi Philippe Michel. Design and analysis of forward and reverse models for predicting defect accumulation, defect energetics, and irradiation conditions. United States: N. p., 2018. Web. doi:10.1016/j.commatsci.2018.02.048.
Stewart, James A., Kohnert, Aaron A., Capolungo, Laurent, & Dingreville, Rémi Philippe Michel. Design and analysis of forward and reverse models for predicting defect accumulation, defect energetics, and irradiation conditions. United States. https://doi.org/10.1016/j.commatsci.2018.02.048
Stewart, James A., Kohnert, Aaron A., Capolungo, Laurent, and Dingreville, Rémi Philippe Michel. Tue . "Design and analysis of forward and reverse models for predicting defect accumulation, defect energetics, and irradiation conditions". United States. https://doi.org/10.1016/j.commatsci.2018.02.048. https://www.osti.gov/servlets/purl/1426798.
@article{osti_1426798,
title = {Design and analysis of forward and reverse models for predicting defect accumulation, defect energetics, and irradiation conditions},
author = {Stewart, James A. and Kohnert, Aaron A. and Capolungo, Laurent and Dingreville, Rémi Philippe Michel},
abstractNote = {},
doi = {10.1016/j.commatsci.2018.02.048},
journal = {Computational Materials Science},
number = C,
volume = 148,
place = {United States},
year = {2018},
month = {3}
}

Journal Article:

Figures / Tables:

Table 1 Table 1: Theoretical values for the defect energies (${E}^{m}_{i_{n}}$ , ${E}^{b}_{i_{n}}$ , $E^{m}_{v_{n}}$ , ${E}^{b}_{v_{n}}$) and material property parameters (D0,Ω, b) of pure α-Fe.

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Works referencing / citing this record:

Reduced-order atomistic cascade method for simulating radiation damage in metals
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