E-LIB Suche - Ergebnisse für: Troncoso, Javier F.

1

Breaking Down the Barriers between the Digital and the Real..:

Denisart, Lucie ; Troncoso, Javier F. ; Loup‐Escande, Emilie.
Batteries & Supercaps. 7 (2024) 7 - p. , 2024

Link: https://doi.org/10.1002/..

2

Experimental and ab initio derivation of interface stress i..:

Lorenzin, Giacomo ; Troncoso, Javier F. ; Liyanage, Manura...
Applied Surface Science. 661 (2024) - p. 159994 , 2024

Link: https://doi.org/10.1016/..

3

Cover Feature: Breaking Down the Barriers between the Digit..:

Denisart, Lucie ; Troncoso, Javier F. ; Loup‐Escande, Emilie.
Batteries & Supercaps. 7 (2024) 7 - p. , 2024

Link: https://doi.org/10.1002/..

4

Explaining the effect of in-plane strain on thermal degrada..:

Troncoso, Javier F. ; Lorenzin, Giacomo ; Cancellieri, Claudia.
Scripta Materialia. 242 (2024) - p. 115902 , 2024

Link: https://doi.org/10.1016/..

5

MultiSOM: Multi-layer Self Organizing Maps for local struct..:

Aquistapace, Franco ; Amigo, Nicolás ; Troncoso, Javier F...
Computational Materials Science. 227 (2023) - p. 112263 , 2023

Link: https://doi.org/10.1016/..

6

Machine learning of twin/matrix interfaces from local stres..:

Troncoso, Javier F. ; Hu, Yang ; della Ventura, Nicolò M....
Computational Materials Science. 228 (2023) - p. 112322 , 2023

Link: https://doi.org/10.1016/..

7

Thermal conductivity of porous polycrystalline PbTe:

Troncoso, Javier F. ; Chudzinski, Piotr ; Todorov, Tchavdar N....
Physical Review Materials. 5 (2021) 1 - p. , 2021

Link: https://doi.org/10.1103/..

8

Effect of intrinsic defects on the thermal conductivity of ..:

Troncoso, Javier F ; Aguado-Puente, Pablo ; Kohanoff, Jorge
Journal of Physics: Condensed Matter. 32 (2019) 4 - p. 045701 , 2019

Link: https://doi.org/10.1088/..

9

Evaluating the applicability of classical and neural networ..:

F Troncoso, Javier ; Turlo, Vladyslav
Modelling and Simulation in Materials Science and Engineering. 30 (2022) 4 - p. 045009 , 2022

Link: https://doi.org/10.1088/..

10

ClasSOMfier: A neural network for cluster analysis and dete..:

F. Troncoso, Javier
Computational Materials Science. 188 (2021) - p. 110167 , 2021

Link: https://doi.org/10.1016/..

11

Machine learning of twin/matrix interfaces from local stres..:

Troncoso, Javier F ; Hu, Yang ; della Ventura, Nicolò Maria...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.commatsci.2023.112322. , 2023

Link: https://hdl.handle.net/2..

12

Machine learning of twin/matrix interfaces from local stres..:

Troncoso, Javier F ; Hu, Yang ; della Ventura, Nicolo M...
http://arxiv.org/abs/2303.02247. , 2023

Link: http://arxiv.org/abs/230..

13

Thermal conductivity of porous polycrystalline PbTe:

Troncoso, Javier F ; Chudzinski, Piotr ; Todorov, Tchavdar N...
http://arxiv.org/abs/2004.07076. , 2020

Link: http://arxiv.org/abs/200..

14

ClasSOMfier: A neural network for cluster analysis and dete..:

Troncoso, Javier F
http://arxiv.org/abs/2010.04268. , 2020

Link: http://arxiv.org/abs/201..

15

Effect of intrinsic defects on the thermal conductivity of ..:

Troncoso, Javier F ; Aguado-Puente, Pablo ; Kohanoff, Jorge
Troncoso , J F , Aguado-Puente , P & Kohanoff , J 2019 , ' Effect of intrinsic defects on the thermal conductivity of PbTe from classical molecular dynamics simulations ' , Journal of physics. Condensed matter : an Institute of Physics journal , vol. 32 , no. 4 , 045701 , pp. 1 . https://doi.org/10.1088/1361-648X/ab4aa8. , 2019

Link: https://pure.qub.ac.uk/e..