Publications

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Magneto-elastic predictions with LAMMPS and the SPIN package

LAMMPS Workshop 2021

Julien Guy Tranchida

Conference Presentation – 2021 Conference Presentation 2021

Large-scale theroretical predictions of pressure and temperature ramps in iron

LAMMPS Workshop 2021

Julien Guy Tranchida

Conference Presentation – 2021 Conference Presentation 2021

Spin-lattice Dynamics of Surface vs Core Magnetization in Fe Nanoparticles

Applied Physics Letters

Gonzalo dos Santos, Robert Meyer, Romina Aparicio, Julien Guy Tranchida, Eduardo Bringa, Herbert Urbassek

https://www.osti.gov/search/identifier:1817708

Journal Article – 2021 Journal Article 2021

LAMMPS, a brief overview and examples of modifications

Virtual Lab. Seminar presentation

Julien Guy Tranchida

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

Data-Driven Magneto-Elastic Predictions with Scalable Classical Spin-Lattice Dynamics

Invited seminar presentation at UCLA

Julien Guy Tranchida, Svetoslav Valeriev Nikolov, Mitchell Wood, Attila Cangi, Michael P. Desjarlais, Aidan P. Thompson

https://www.osti.gov/search/identifier:1870099

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

First-principles and classical computational study of W/ZrC interfaces

Plasma Facing Materials and Components for Fusion Applications

Julien Guy Tranchida, Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson

https://www.osti.gov/search/identifier:1866898

Conference Poster – 2021 Conference Poster 2021

Spin-lattice model for cubic crystals

Physical Review B

Pablo Nieves, Julien Guy Tranchida, S. Arapan, Legut D.

https://www.osti.gov/search/identifier:1778073

Journal Article – 2021 Journal Article 2021

W/ZrC interface stability and interaction with plasma species from first-principles and classical computational studies

Icfrm-20

Julien Guy Tranchida

Abstract – 2021 Abstract 2021

Multi-fidelity ML/UQ and Bayesian Optimization for Materials Design: Application to Ternary Random Alloys

TMS 2021 Annual Meeting & Exhibition (TMS2021)

Anh Tran, Julien Guy Tranchida, Timothy Michael Wildey, Aidan P. Thompson

https://www.osti.gov/search/identifier:1853874

Conference Poster – 2021 Conference Poster 2021

Towards Predictive Plasma Science and Engineering through Revolutionary Multi-Scale Algorithms and Models, Final Report

George Russell Laity, Allen C. Robinson, Michael E. Cuneo, Mary Kathleen Alam, Kristian Beckwith, Nichelle Lee Bennett, Matthew Tyler Bettencourt, Stephen D Bond, Kyle Cochrane, Louise Criscenti, Eric Christopher Cyr, Karen June De Zetter, Richard R. Drake, Evstati Georgiev Evstatiev, Andrew Steven Fierro, Thomas Anthony Gardiner, Forrest Glines, Ronald S. Goeke, Nathaniel Donald Hamlin, Russell Hooper, Jason Koski, James Matthew Doyle Lane, Steven Robert Larson, Kevin Leung, Duncan Alisdair Odum McGregor, Philip Rocco Miller, Sean Miller, Susan Jasmin Ossareh, Edward Geoffrey Phillips, Sean Simpson, David Sirajuddin, Thomas M. Smith, Matthew Scot Swan, Aidan P. Thompson, Julien Guy Tranchida, Asa Jal Bortz-Johnson, Dale Robert Welch, Alex Moore Russell, Eric Duarte Watson, David Vincent Rose, Ryan D McBride

https://www.osti.gov/search/identifier:1813907

SAND Report – 2021 SAND Report 2021

Size- and temperature-dependent magnetization of iron nanoclusters

Physical Review B

Julien Guy Tranchida, Gonzalo Dos Santos, Romina Aparicio, D Linares, E.N. Miranda, Gustavo M. Pastor, Eduardo M. Bringa

https://www.osti.gov/search/identifier:1738927

Journal Article – 2020 Journal Article 2020

Leveraging SNAP Potentials for Accurate Magneto-Elastic Simulations of Materials

New Mexico Machine Learning Symposium (NMMLS)

Julien Guy Tranchida

Abstract – 2020 Abstract 2020

Electric and antiferromagnetic chiral textures at multiferroic domain walls

Nature Materials

Julien Guy Tranchida, J-Y Chaleau, T Chirac, S Fusil, Vincent Garcia, W Akhtar, P Thibaudeau, I Gross, C Blouzon, A Finco, M Bibes, B Dkhil, Khalyavin D.D., P Manuel, V Jacques, N Jaouen, M Viret

Journal Article – 2020 Journal Article 2020

Enhance coherence time in intensely driven quantum systems

Wei Pan, John L. Reno, Julien Guy Tranchida

https://www.osti.gov/search/identifier:1670245

SAND Report – 2020 SAND Report 2020

Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys

The Journal of Chemical Physics

Julien Guy Tranchida, Anh Tran, Timothy Michael Wildey, Aidan P. Thompson

Journal Article – 2020 Journal Article 2020

Atomistic simulation of phonon and magnon thermal transport across the ferromagnetic-paramagnetic transition

Physical Review B

Julien Guy Tranchida, Yanguang Zhou, Yijun Ge, Jayathi Murthy, Timothy Fisher

Journal Article – 2020 Journal Article 2020

Efficient Optimization Method for Finding Minimum Energy Paths of Magnetic Transitions

Journal of PhysicsCondensed Matter

Julien Guy Tranchida, Aleksei Ivanov, D Dagbartsson, Valery Uzdin, Hannes Jonsson

https://www.osti.gov/search/identifier:1650179

Journal Article – 2020 Journal Article 2020

Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys

Sandia MLDL Workshop

Julien Guy Tranchida, Aidan P. Thompson, Anh Tran, Timothy Michael Wildey

Abstract – 2020 Abstract 2020

Multi-fidelity machine-learning with uncertainty quantification for materials design: Application to ternary random alloys

arXiv

Anh Tran, Timothy Michael Wildey, Julien Guy Tranchida, Aidan P. Thompson

https://www.osti.gov/search/identifier:1670182

Journal Article – 2020 Journal Article 2020

Improving the accuracy of spin-lattice simulations with machine-learning interatomic potentials

APS March Meeting 2020

Aidan P. Thompson, Mitchell Wood, Attila Cangi, Michael P. Desjarlais, Julien Guy Tranchida

https://www.osti.gov/search/identifier:1778150

Conference Paper – 2020 Conference Paper 2020

Improving the accuracy of spin-lattice calculations with machine-learning interatomic potentials

MRS meeting 2019

Julien Guy Tranchida, Attila Cangi, Mitchell Wood, Aidan P. Thompson, Michael P. Desjarlais

Abstract – 2020 Abstract 2020

Improving the accuracy of spin-lattice calculations with machine-learned interatomic potentials

Mrs 2019

Julien Guy Tranchida, Attila Cangi, Mitchell Wood, Aidan P. Thompson, Michael P. Desjarlais

https://www.osti.gov/search/identifier:1763622

Conference Paper – 2020 Conference Paper 2020

From First-Principles toward atomistic understanding of mechanical properties in High-Entropy Alloys

2019 MRS Fall Meeting and Exhibit

Peter Andrew Schultz, Julien Guy Tranchida, Michael E. Chandross, Aidan P. Thompson

https://www.osti.gov/search/identifier:1643633

Conference Paper – 2019 Conference Paper 2019

Quantum-accurate multiscale modeling of ramp compressions and magneto-elastic phase transitions in iron

APS March Meeting 2020

Julien Guy Tranchida, Mitchell Wood, Attila Cangi, Aidan P. Thompson, Michael P. Desjarlais

Abstract – 2019 Abstract 2019

Scale Bridging with SNAP Machine-Learning Interatomic Potentials

Sandia LDRD Machine Learning R&D Workshop

Aidan P. Thompson, Mitchell Wood, Mary Alice Cusentino, Julien Guy Tranchida

https://www.osti.gov/search/identifier:1641919

Conference Paper – 2019 Conference Paper 2019
Document Title Type Year
Results 1–25 of 47