“We are all very ignorant. What happens is that not all ignore the same things.”

Albert Einstein



Each individual possesses unique strengths and areas for growth. Through the exchange of knowledge and expertise, we can support others in overcoming their limitations and enhancing their skills. Likewise, by remaining receptive to learning from others, we broaden our own understanding and capabilities. By acknowledging and harnessing each other's strengths, we amplify our collective potential to achieve remarkable feats beyond individual capacity. Collaboration empowers us to blend diverse perspectives and expertise, fostering innovation and problem-solving. Let us celebrate our distinct abilities and embrace the opportunity to learn from one another to reach new heights and accomplish new goals!

 

Relevant Job Positions:


  • Research Engineer & Lead Software Engineer (+3 year)
    • AIMEN (Spain)
    • LRCS (France)

  • Postdoctoral Researcher (2 years)
    • EMPA (Switzerland)
    • Queen's University Belfast (UK)


  • Teacher Assistant (2 years)
    • Queen's University Belfast (UK)


  • Software Developer & DevOps Engineer (1 year)
    • GFT Iberia (Spain)

Education



September 2016 - August 2020Ph.D. in Physics Queen's University Belfast (QUB), Belfast, United Kingdom (UK)
  • Use of Molecular Dynamics simulations with empirical and neural network potentials to study thermal properties in PbTe.
  • Use of first-principle calculations to study phonon properties.
  • Use of Phase-field models to study the stability of porous polycrystalline PbTe.


June 2015 - July 2015 (160 h)Java TrainingLUZ Tecnologías de la Información; Madrid, Spain
  • Area of work: Java, SQL.



September 2014 - June 2015Master’s degree - Materials ScienceUniversity of Santiago de Compostela, USC, Santiago de Compostela, Spain
  • Science and technology of materials.


September 2010 - June 2014Degree - PhysicsUniversity of Santiago de Compostela, USC, Santiago de Compostela, Spain
  • Area of work: Physics; Mathematics and Statistics; Programming (Python, Matlab); Data analysis.

Publications



Journal Articles:
  • Javier F. Troncoso, Franco M. Zanotto, Diego E. Galvez-Aranda, Diana Zapata Dominguez, Lucie Denisart, Alejandro A. Franco; The ARTISTIC Battery Manufacturing Digitalization Initiative: From Fundamental Research to Industrialization, Batteries & Supercaps e202400385 (2024).
  • Lucie Denisart, Javier F. Troncoso, Emilie Loup-Escande, Alejandro A. Franco; Breaking down the Barriers between the Digital and the Real: Mixed Reality applied to Battery Manufacturing R&D and Training, Batteries & Supercaps e202400042 (2024).
  • Giacomo Lorenzin, Javier F. Troncoso, Manura Liyanage, Aleksandr V. Druzhinin, Lars P.H. Jeurgens, Claudia Cancellieri, Vladyslav Turlo; Experimental and ab initio derivation of interface stress in nanomultilayered coatings: Application to immiscible Cu/W system with variable in-plane stress, Applied Surface Science 661, 159994 (2024).
  • Javier F. Troncoso, Giacomo Lorenzin, Claudia Cancellieri, Vladyslav Turlo; Explaining the effect of in-plane strain on thermal degradation kinetics of Cu/W nano-multilayers, Scripta Materialia 242, 115902 (2024).
  • Javier F. Troncoso, Yang Hu, Nicolò M. della Ventura, Amit Sharma, Xavier Maeder, Vladyslav Turlo; Machine learning of twin/matrix interfaces from local stress field, Comput. Mater. Sci. 228, 112322 (2023).
  • Franco Aquistapace, Nicolás Amigo, Javier F. Troncoso, Orlando Deluigi, Eduardo M. Bringa; MultiSOM: Multi-layer Self Organizing Maps for local structure identification in crystalline structures; Comput. Mater. Sci. 227, 112263 (2023).
  • Hassna El-Bousiydy, Javier F. Troncoso, Patrik Johansson, and Alejandro A. Franco; LIBAC: An Annotated Corpus for Automated “Reading” of the Lithium-Ion Battery Research Literature; Chem. Mater. 35, 5, 1849–1857 (2023).
  • Javier F.  Troncoso and Vladyslav Turlo;  Evaluating the applicability of classical and neural network interatomic potentials for modeling body-centered-cubic polymorph of magnesium; Modelling Simul. Mater. Sci. Eng. 30, 045009 (2022)
  • Javier F.  Troncoso; ClasSOMfier: A neural network for cluster analysis and detection of lattice defects; Comput. Mater. Sci. 188, 15 (2021).
  • Javier F.  Troncoso, Piotr Chudzinski, Tchavdar N. Todorov, Pablo Aguado-Puente, Myrta Grüning, and Jorge J. Kohanoff; Thermal conductivity of porous polycrystalline PbTe; Phys. Rev. Materials 5, 014604 (2021).
  • Javier F. Troncoso, Pablo Aguado-Puente and Jorge Kohanoff; Effect of intrinsic defects on the thermal conductivity of PbTe from classical molecular dynamics simulations; J. Phys.: Condens. Matter 32, 045701 (2020).



Conference Proceedings:
  • Lorenzo Stella, Conrad Johnston, Javier F. Troncoso, Piotr Chudzinski, Esther Orisakwe, Jorge Kohanof, R. Jani, N. Holmes,  B. Norton, X. Liu, M. Qu, H. Yin, K. Yazawa; Modelling the thermoelectric properties of cement-based materials using finite element method and effective medium theory;  CERI conference paper 165 (2022).



Article reviewer:
  • CNL Nuclear Review; 
  • Journal of Chemical Information and Modeling; 
  • Acta Materialia; 
  • Physical Review Materials.



Patents / Registered Software
  • A. Ngandjong, M. Duquesnoy, Javier F. Troncoso, L. Denisart, A.A. Franco, FR.001.480020.000.S.P.2023.000.31235, Agence pour la Protection des Programmes (2023).

Relevant Conferences:





Participation in Proposals:



Training: 15-hours course on Horizon Europe proposal writing, by Euradia (October 2024).




 

 

 

LANGUAGES:

Galician

(Native)

Spanish

(Native)

English

( Professional Knowledge)

Portuguese

( Limited Professional Knowledge)

French

( Basic Understanding)

 

 

 

 

 

 

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