Luca Messina
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Exact ab initio transport coefficients in bcc Fe− X (X= Cr, Cu, Mn, Ni, P, Si) dilute alloys
L Messina, M Nastar, T Garnier, C Domain, P Olsson
Physical Review B 90 (10), 104203, 2014
Systematic electronic-structure investigation of substitutional impurity diffusion and flux coupling in bcc iron
L Messina, M Nastar, N Sandberg, P Olsson
Physical Review B 93 (18), 184302, 2016
Solute diffusion by self-interstitial defects and radiation-induced segregation in ferritic Fe–X (X= Cr, Cu, Mn, Ni, P, Si) dilute alloys
L Messina, T Schuler, M Nastar, MC Marinica, P Olsson
Acta Materialia 191, 166-185, 2020
KineCluE: a Kinetic Cluster Expansion code to compute transport coefficients beyond the dilute limit
T Schuler, L Messina, M Nastar
Computational Materials Science 170, 109191, 2019
Modeling of the magnetic free energy of self-diusion in bcc Fe
N Sandberg, L Chang, Zhongwen, Messina, P Olsson, P Korzhavyi
Physical Review B 92, 184102, 2015
The dominant mechanisms for the formation of solute-rich clusters in low-Cu steels under irradiation
N Castin, G Bonny, A Bakaev, F Bergner, C Domain, JM Hyde, L Messina, ...
Materials Today Energy 17, 100472, 2020
Advanced atomistic models for radiation damage in Fe-based alloys: Contributions and future perspectives from artificial neural networks
N Castin, MI Pascuet, L Messina, C Domain, P Olsson, RC Pasianot, ...
Computational Materials Science 148, 116-130, 2018
Introducing ab initio based neural networks for transition-rate prediction in kinetic Monte Carlo simulations
L Messina, N Castin, C Domain, P Olsson
Physical Review B 95 (6), 064112, 2017
Stability and mobility of small vacancy–solute complexes in Fe–MnNi and dilute Fe–X alloys: A kinetic Monte Carlo study
L Messina, L Malerba, P Olsson
Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2015
Ab initio modelling of vacancy–solute dragging in dilute irradiated iron-based alloys
L Messina, Z Chang, P Olsson
Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2013
Improved atomistic Monte Carlo models based on ab-initio-trained neural networks: Application to FeCu and FeCr alloys
N Castin, L Messina, C Domain, RC Pasianot, P Olsson
Physical Review B 95 (21), 214117, 2017
Elastic dipole tensors and relaxation volumes of point defects in concentrated random magnetic Fe-Cr alloys
JS Wróbel, MR Zemła, D Nguyen-Manh, P Olsson, L Messina, C Domain, ...
Computational Materials Science 194, 110435, 2021
An object kinetic Monte Carlo model for the microstructure evolution of neutron-irradiated reactor pressure vessel steels
L Messina, M Chiapetto, P Olsson, CS Becquart, L Malerba
Physica Status Solidi (A) Applications and Materials 213, 2974–2980, 2016
Multiscale modeling of atomic transport phenomena in ferritic steels
L Messina
KTH Royal Institute of Technology, 2015
Nanostructure evolution of neutron-irradiated reactor pressure vessel steels: Revised Object kinetic Monte Carlo model
M Chiapetto, L Messina, CS Becquart, P Olsson, L Malerba
Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2017
Solute-point defect interactions, coupled diffusion, and radiation-induced segregation in fcc nickel
E Toijer, L Messina, C Domain, J Vidal, CS Becquart, P Olsson
Physical Review Materials 5 (1), 013602, 2021
Mass-transport properties of ternary Fe (C, O) alloys revealed by multicomponent cluster synergies
T Schuler, M Nastar, L Messina
Physical Review Materials 4 (2), 020401, 2020
The effect of rhenium on the diffusion of small interstitial clusters in tungsten
N Castin, P Dwivedi, L Messina, A Bakaev, D Terentyev, G Bonny
Computational Materials Science 177, 109580, 2020
Solubility and vacancy-mediated inter-diffusion in the Zr-Nb-Cr system
V Tuli, A Claisse, L Messina, PA Burr
Journal of Nuclear Materials 548, 152867, 2021
Monte Carlo simulation for the prediction of gamma-induced damage in metals
L Messina
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