Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Manuel Athènes"'
Autor:
Anruo Zhong, Clovis Lapointe, Alexandra M. Goryaeva, Jacopo Baima, Manuel Athènes, Mihai-Cosmin Marinica
Publikováno v:
Physical Review Materials. 7
Publikováno v:
Physical Review Materials
Physical Review Materials, 2022, 6, pp.013805. ⟨10.1103/PhysRevMaterials.6.013805⟩
Physical Review Materials, 2022, 6, pp.013805. ⟨10.1103/PhysRevMaterials.6.013805⟩
International audience; Directly computing linear mass transport coefficients in stochastic models entails integrating over time the equilibrium correlations between atomic displacements. Here, we show how to improve the accuracy of kinetic Monte Car
Publikováno v:
Journal of Computational Physics
Journal of Computational Physics, 2022, 454, pp.110987. ⟨10.1016/j.jcp.2022.110987⟩
Journal of Computational Physics, 2022, 454, pp.110987. ⟨10.1016/j.jcp.2022.110987⟩
International audience; Modeling the microstructural evolution of metal and alloys, specifically under irradiation, is essential to predict the aging properties of materials. Many models are based on a transition rate matrix describing the jump frequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7a60ba37caad761a85c3a1f0bff6c38
Publikováno v:
Journal of Nuclear Materials
Journal of Nuclear Materials, 2020, https://doi.org/10.1016/j.jnucmat.2020.152068. ⟨10.1016/j.jnucmat.2020.152068⟩
Journal of Nuclear Materials, Elsevier, 2020, https://doi.org/10.1016/j.jnucmat.2020.152068. ⟨10.1016/j.jnucmat.2020.152068⟩
Journal of Nuclear Materials, 2020, https://doi.org/10.1016/j.jnucmat.2020.152068. ⟨10.1016/j.jnucmat.2020.152068⟩
Journal of Nuclear Materials, Elsevier, 2020, https://doi.org/10.1016/j.jnucmat.2020.152068. ⟨10.1016/j.jnucmat.2020.152068⟩
International audience The microstructure evolution in irradiated materials can be conveniently modelled, at large scale, by cluster dynamics (CD). In this approach, the effect of the local environment of defect clusters is neglected. In this article
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cb655f3f572b71bcbfbd75db13252fb
https://cea.hal.science/cea-02495660/document
https://cea.hal.science/cea-02495660/document
Publikováno v:
Journal of Computational Physics
Journal of Computational Physics, 2017, 350, pp.280-295. ⟨10.1016/j.jcp.2017.08.015⟩
Journal of Computational Physics, Elsevier, 2017, 350, pp.280-295. ⟨10.1016/j.jcp.2017.08.015⟩
Journal of Computational Physics, 2017, 350, pp.280-295. ⟨10.1016/j.jcp.2017.08.015⟩
Journal of Computational Physics, Elsevier, 2017, 350, pp.280-295. ⟨10.1016/j.jcp.2017.08.015⟩
International audience; Deterministic simulations of the rate equations governing cluster dynamics in materials are limited by the number of equations to integrate. Stochastic simulations are limited by the high frequency of certain events. We propos
Publikováno v:
Physical Review Materials
Physical Review Materials, American Physical Society, 2019, 3 (10), pp.103802. ⟨10.1103/PhysRevMaterials.3.103802⟩
Physical Review Materials, 2019, 3 (10), pp.103802. ⟨10.1103/PhysRevMaterials.3.103802⟩
Physical Review Materials, American Physical Society, 2019, 3 (10), pp.103802. ⟨10.1103/PhysRevMaterials.3.103802⟩
Physical Review Materials, 2019, 3 (10), pp.103802. ⟨10.1103/PhysRevMaterials.3.103802⟩
International audience; The microstructural evolution of metals and alloys is governed by the diffusion of defects over complex energy landscapes. Whenever metastability occurs in atomistic simulations, well-separated time scales emerge making it nec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebc141bc1ccfe1679f2e36a1628188f3
https://hal-cea.archives-ouvertes.fr/cea-02443620/document
https://hal-cea.archives-ouvertes.fr/cea-02443620/document
Autor:
Manuel Athènes, Pierre Terrier
Publikováno v:
Journal of Chemical Physics
Journal of Chemical Physics, American Institute of Physics, 2017, 146, ⟨10.1063/1.4983164⟩
Journal of Chemical Physics, 2017, 146, ⟨10.1063/1.4983164⟩
Journal of Chemical Physics, American Institute of Physics, 2017, 146, ⟨10.1063/1.4983164⟩
Journal of Chemical Physics, 2017, 146, ⟨10.1063/1.4983164⟩
International audience; Markov chain Monte Carlo methods are primarily used for sampling from a given probability distribution and estimating multi-dimensional integrals based on the information contained in the generated samples. Whenever it is poss
Publikováno v:
Journal of Chemical Theory and Computation. 7:3208-3222
In the waste recycling Monte Carlo (WRMC) algorithm,(1)multiple trial states may be simultaneously generated and utilized during Monte Carlo moves to improve the statistical accuracy of the simulations, suggesting that such an algorithm may be well p
Publikováno v:
Journal of Chemical Physics
Journal of Chemical Physics, American Institute of Physics, 2015, 143 (13), pp.134121. ⟨10.1063/1.4932389⟩
Journal of Chemical Physics, 2015, 143 (13), pp.134121. ⟨10.1063/1.4932389⟩
Journal of Chemical Physics, American Institute of Physics, 2015, 143 (13), pp.134121. ⟨10.1063/1.4932389⟩
Journal of Chemical Physics, 2015, 143 (13), pp.134121. ⟨10.1063/1.4932389⟩
Transition path sampling is a method for estimating the rates of rare events in molecular systems based on the gradual transformation of a path distribution containing a small fraction of reactive trajectories into a biased distribution in which thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3852b03bbf78bf1c545b4a609a201534
https://hal-cea.archives-ouvertes.fr/cea-02382868
https://hal-cea.archives-ouvertes.fr/cea-02382868
Autor:
Vasily V. Bulatov, Manuel Athènes
Publikováno v:
Physical Review Letters
Physical Review Letters, American Physical Society, 2014, 113 (23), pp.230601. ⟨10.1103/PhysRevLett.113.230601⟩
Physical Review Letters, 2014, 113 (23), pp.230601. ⟨10.1103/PhysRevLett.113.230601⟩
Physical Review Letters, American Physical Society, 2014, 113 (23), pp.230601. ⟨10.1103/PhysRevLett.113.230601⟩
Physical Review Letters, 2014, 113 (23), pp.230601. ⟨10.1103/PhysRevLett.113.230601⟩
The computational efficiency of stochastic simulation algorithms is notoriously limited by the kinetic trapping of the simulated trajectories within low energy basins. Here we present a new method that overcomes kinetic trapping while still preservin