Remi Dingreville

Education

• Ph.D., Mechanical Engineering
• Georgia Institute of Technology
• 2007

• M.S., Materials Science
• Université de Rennes (France)
• 2001

• B.S., Mechanical Engineering
• École Nationale Supérieure des Techniques Avancées (France)
• 2001

Positions

• 2022 - Present | Distinguished Member of the Technical Staff, Sandia National Laboratories
• 2018 - Present | Staff Scientist, Center for Integrated Nanotechnologies
• 2011 - 2022 | Principal Member of the Technical Staff, Sandia National Laboratories
• 2009 - 2011 | Assistant Professor, New York University
• 2007 - 2009 | Postdoctoral Appointee, Sandia National Laboratories

Awards

• Visiting scholar fellowship CNRS, Labex DAMAS (France), 2022
• Visiting scholar fellowship CNRS, Labex DAMAS, 2017
• Sandia National Laboratories Division 6000 Up & Coming Innovator Award, 2015
• Visiting scholar fellowship CNRS, Labex DAMAS, 2015
• The Minerals, Metals and Materials Society (TMS) fellowship for the "Emerging Leader Alliance" (ELA) capstone program
• TMS Young Leader Professional Development Award, 2013

Professional Societies

• The Minerals, Metals and Materials Society (TMS)

Publications

• V Oommen, K Shukla, S Goswami, R Dingreville, GE Karniadakis, Learning two-phase microstructure evolution using neural operators and autoencoder architectures, npj Computational Materials, 8, 190, 2022.
• C Hu, S Martin, R Dingreville, Accelerating phase-field predictions via recurrent neural networks learning the microstructure evolution in latent space, Computer Methods in Applied Mechanics and Engineering 397, 115128, 2022. https://doi.org/10.1016/j.cma.2022.115128
• X Chen, R Dingreville, T Richeton, S Berbenni, Invariant surface elastic properties in FCC metals and their correlation to bulk properties revealed by machine learning methods, Journal of the Mechanics and Physics of Solids 163, 104852, 2022
• S Desai, R Dingreville, Learning time-dependent deposition protocols to design thin films via genetic algorithms, Materials & Design, 110815, 2022
• JM Monti, EM Hopkins, K Hattar, F Abdeljawad, BL Boyce, R Dingreville, Stability of immiscible nanocrystalline alloys in compositional and thermal fields, Acta Materialia 226, 117620, 2022.
• C Deo, E Chen, R Dingreville, Atomistic Modeling of Radiation Damage in Crystalline Materials, Modelling and Simulation in Materials Science and Engineering 30 (2), 023001, 2022.
• C Hu, DL Medlin, R Dingreville, Disconnection-mediated transition in segregation structures at twin boundaries, The Journal of Physical Chemistry Letters 12 (29), 6875-6882, 2021
• C Kunka, A Shanker, EY Chen, SR Kalidindi, R Dingreville, Decoding defect statistics from diffractograms via machine learning, npj Computational Materials 7 (1), 1-9 , 2021
• D Montes de Oca Zapiain, JA Stewart, R Dingreville, Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods, npj Computational Materials 7 (1), 1-11, 2021
• M Guziewski, D Montes de Oca Zapiain, R Dingreville, SP Coleman, Microscopic and Macroscopic Characterization of Grain Boundary Energy and Strength in Silicon Carbide via Machine-Learning Techniques, ACS Applied Materials & Interfaces 13 (2), 3311-3324, 2021.

Complete List of Publications

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