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handayang

银虫 (正式写手)

[交流] 法国博士招聘

帮法国老板转发一个博士招聘广告,法国出钱,做第一性或者蒙特卡罗计算。想做博后也可以联系问问他们,这两个老板很有科学素质,物理和人都非常好。

Applications should be sent to laurent.chaput@univ-lorraine.fr before June 15, 2024

Dear colleagues,
We are seeking for a PhD candidate for a position available by beginning of October 2024. lf you know about motivated student who want to work on material science modeling and simulation,please forward our PhD proposal.
Thanks a lot,
Kind regards,
David



PhD: High throughput multi-scale modelling of the thermal conductivity

Laurent Chaput1,2, Fabien Pascale1, David Lacroix1

1Université de Lorraine, LEMTA, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 7563, BP 70239, 54506 Vandoeuvre Cedex, France
2Institut Universitaire de France
1 rue Descartes 75231 Paris Cedex 05

Since the last few years, it is possible to perform multi-scale ab initio computations of the lattice thermal conductivity of semiconductors and insulators. In this research project, the basic idea is to perform quantum mechanical computations of the physical properties [1] at the atomic scale, and then transfer those properties at the meso and macro scale to study heat transport in an real device [2].
At the device scale, the transport equations are solved using a Monte Carlo method to include the effects of boundary conditions and to study the dependence of thermal conductivity with device size and shape. To perform such calculations, materials properties are needed, and those are obtained through quantum mechanical calculations, within the framework of density functional theory (DFT).
The goal of the present project is to make the above-mentioned procedure fully automatic, and to use it to perform high-throughput computations and AI-based optimization of thermal transport in devices.
To achieve this goal, in the first part of the project the Monte Carlo solver [3] will be improved, a step which include its parallelization. The second part of the project will focus on DFT calculations of materials properties. A database of inputs for the Monte Carlo solver will be filled and this database will then be used to optimize heat transfer in selected simple devices.

Considering the above challenges, the recruited PhD candidate should have strong background in solid state physics and numerical computing.


Applications should be sent to laurent.chaput@univ-lorraine.fr before June 15, 2024


[1] Distributions of phonon lifetimes in Brillouin zones
A. Togo, L. Chaput, and I. Tanaka
Phys. Rev. B 91, 094306 (2015)

[2] Ab initio based calculations of the thermal conductivity at the micron scale
L. Chaput, J. Larroque, P. Dollfus, J. Saint-Martin, D. Lacroix
Appl. Phys. Lett. 112, 033104 (2018)

[3] Monte Carlo simulation of phonon transport from ab-initio data with Nano-κ
B.H. Silva and D. Lacroix and M. Isaiev and L. Chaput
Comp. Phys. Comm. 294, 108954 (2024)
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