Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Tranchida, Julien"'
Autor:
Nikolov, Svetoslav, Ramakrishna, Kushal, Rohskopf, Andrew, Lokamani, Mani, Tranchida, Julien, Carpenter, John, Cangi, Attila, Wood, Mitchell A.
Dynamic compression of iron to Earth-core conditions is one of the few ways to gather important elastic and transport properties needed to uncover key mechanisms surrounding the geodynamo effect. Herein a new machine-learned ab-initio derived molecul
Externí odkaz:
http://arxiv.org/abs/2311.08737
Autor:
Kumar, Sandeep, Tahmasbi, Hossein, Ramakrishna, Kushal, Lokamani, Mani, Nikolov, Svetoslav, Tranchida, Julien, Wood, Mitchell A., Cangi, Attila
We present a study on the transport and materials properties of aluminum spanning from ambient to warm dense matter conditions using a machine-learned interatomic potential (ML-IAP). Prior research has utilized ML-IAPs to simulate phenomena in warm d
Externí odkaz:
http://arxiv.org/abs/2304.09703
Autor:
Nikolov, Svetoslav, Wood, Mitchell A., Cangi, Attila, Maillet, Jean-Bernard, Marinica, Mihai-Cosmin, Thompson, Aidan P., Desjarlais, Michael P., Tranchida, Julien
Publikováno v:
npj Computational Materials 7, 153 (2021)
A data-driven framework is presented for building magneto-elastic machine-learning interatomic potentials (ML-IAPs) for large-scale spin-lattice dynamics simulations. The magneto-elastic ML-IAPs are constructed by coupling a collective atomic spin mo
Externí odkaz:
http://arxiv.org/abs/2101.07332
We present a scale-bridging approach based on a multi-fidelity (MF) machine-learning (ML) framework leveraging Gaussian processes (GP) to fuse atomistic computational model predictions across multiple levels of fidelity. Through the posterior varianc
Externí odkaz:
http://arxiv.org/abs/2006.00139
Autor:
Ivanov, Aleksei V., Dagbartsson, Damjan, Tranchida, Julien, Uzdin, Valery M., Jónsson, Hannes
Publikováno v:
J. Phys.: Condens. Matter 32 345901 (2020)
Efficient algorithms for the calculation of minimum energy paths of magnetic transitions are implemented within the geodesic nudged elastic band (GNEB) approach. While an objective function is not available for GNEB and a traditional line search can,
Externí odkaz:
http://arxiv.org/abs/2001.10372
Atomistic Simulation of Phonon and Magnon Thermal Transport across the Ferro-Paramagnetic Transition
Publikováno v:
Phys. Rev. B 101, 224303 (2020)
A temperature-dependent approach involving Green-Kubo equilibrium atomic and spin dynamics (GKEASD) is reported to assess phonon and magnon thermal transport processes accounting for phonon-magnon interactions. Using body-center cubic (BCC) iron as a
Externí odkaz:
http://arxiv.org/abs/1901.00966
Autor:
Tranchida, Julien
Les propriétés magnétiques détaillées des solides peuvent être vu comme le résultat de l'interaction de plusieurs sous-systèmes: celui des spins effectifs, portant l'aimantation, celui des électrons et celui du réseau crystallin. Différent
Externí odkaz:
http://www.theses.fr/2016TOUR4027/document
Autor:
Thompson, Aidan P., Aktulga, H. Metin, Berger, Richard, Bolintineanu, Dan S., Brown, W. Michael, Crozier, Paul S., in 't Veld, Pieter J., Kohlmeyer, Axel, Moore, Stan G., Nguyen, Trung Dac, Shan, Ray, Stevens, Mark J., Tranchida, Julien, Trott, Christian, Plimpton, Steven J.
Publikováno v:
In Computer Physics Communications February 2022 271
Akademický článek
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Publikováno v:
AIP Advances 7, 056012 (2017
When nano-magnets are coupled to random external sources, their magnetization becomes a random variable, whose properties are defined by an induced probability density, that can be reconstructed from its moments, using the Langevin equation, for mapp
Externí odkaz:
http://arxiv.org/abs/1610.01622