Remi Dingreville
Cited by
Cited by
Surface free energy and its effect on the elastic behavior of nano-sized particles, wires and films
R Dingreville, J Qu, M Cherkaoui
Journal of the Mechanics and Physics of Solids 53 (8), 1827-1854, 2005
Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods
D Montes de Oca Zapiain, JA Stewart, R Dingreville
npj Computational Materials 7 (1), 1-11, 2021
A semi-analytical method to compute surface elastic properties
R Dingreville, J Qu
Acta Materialia 55 (1), 141-147, 2007
Interfacial excess energy, excess stress and excess strain in elastic solids: Planar interfaces
R Dingreville, J Qu
Journal of the Mechanics and Physics of Solids 56 (5), 1944-1954, 2008
The third Sandia Fracture Challenge: predictions of ductile fracture in additively manufactured metal
SLB Kramer, A Jones, A Mostafa, B Ravaji, T Tancogne-Dejean, CC Roth, ...
International Journal of Fracture 218, 5-61, 2019
Multi-morphology lattices lead to improved plastic energy absorption
R Alberdi, R Dingreville, J Robbins, T Walsh, BC White, B Jared, ...
Materials & Design 194, 108883, 2020
Learning two-phase microstructure evolution using neural operators and autoencoder architectures
V Oommen, K Shukla, S Goswami, R Dingreville, GE Karniadakis
npj Computational Materials 8, 190, 2022
Multiscale simulations of electron and ion dynamics in self-irradiated silicon
CW Lee, JA Stewart, R Dingreville, SM Foiles, A Schleife
Physical Review B 102 (2), 024107, 2020
The effect of microstructural representation on simulations of microplastic ratcheting
R Dingreville, CC Battaile, LN Brewer, EA Holm, BL Boyce
International Journal of Plasticity 26 (5), 617-633, 2010
Microstructure morphology and concentration modulation of nanocomposite thin-films during simulated physical vapor deposition
JA Stewart, R Dingreville
Acta Materialia 188, 181-191, 2020
A semi-analytical method for quantifying the size-dependent elasticity of nanostructures
R Dingreville, AJ Kulkarni, M Zhou, J Qu
Modelling and Simulation in Materials Science and Engineering 16 (2), 025002, 2008
Traction-Separation Relationships for Hydrogen Induced Grain Boundary Embrittlement in Nickel via Molecular Dynamics Simulations
W Barrows, R Dingreville, D Spearot
Materials Science and Engineering: A 560 (5), 354–364, 2016
From coherent to incoherent mismatched interfaces: A generalized continuum formulation of surface stresses
R Dingreville, A Hallil, S Berbenni
Journal of the Mechanics and Physics of Solids 72, 40-60, 2014
On the interaction of solutes with grain boundaries
R Dingreville, S Berbenni
Acta Materialia 104 (104), 237-249, 2016
Accelerating phase-field predictions via recurrent neural networks learning the microstructure evolution in latent space
C Hu, S Martin, R Dingreville
Computer Methods in Applied Mechanics and Engineering 397, 115128, 2022
Digital twins for materials
S Kalidindi, M Buzzy, B Boyce, R Dingreville
Frontiers in Materials 9, 818535, 2022
Identification of dominant damage accumulation processes at grain boundaries during irradiation in nanocrystalline α-Fe: A statistical study
A Dunn, R Dingreville, E Martínez, L Capolungo
Acta Materialia 110, 306-323, 2016
Multi-scale simulation of radiation damage accumulation and subsequent hardening in neutron-irradiated α-Fe
A Dunn, R Dingreville, L Capolungo
Modelling and Simulation in Materials Science and Engineering 24 (1), 015005, 2015
Review of the synergies between computational modeling and experimental characterization of materials across length scales
R Dingreville, RA Karnesky, G Puel, JH Schmitt
Journal of Materials Science 51 (3), 1178-1203, 2016
A data-driven surrogate model to rapidly predict microstructure morphology during physical vapor deposition
E Herman, JA Stewart, R Dingreville
Applied Mathematical Modelling 88, 589-603, 2020
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Articles 1–20