Relevant Job Positions:

• Research Engineer (+1 year)
  • AIMEN (Spain):
    • Application of AI and computer simulations to Materials Science.

• Lead Software Engineer (+2 year) working on the creation of a start-up:

• • LRCS (France)
    • Development of a computational tool for the optimization of the battery manufacturing process via simulation techniques and Machine Learning algorithms. Responsable for the development of a software tool to be commercialized.
    • Preparation of scientific proposals (TRL5-7) for French (iLAB, CNRS Rise) and European calls (EIC Transition).
    • Registration of trademarks.
    • Intelectual Property negotiations.
    • Negociation with cloud providers (Google Cloud, Microsoft Azure and AWS, among others)
    • LINK 1 & LINK 2

• Postdoctoral Researcher (2 years)
  • EMPA (Switzerland):
    • Study of thermal and mechanical properties in Mg-based alloys and multilayers using computer simulations:
      • Molecular dynamics simulations
      • Use of finite differences and finite elements to solve partial differential equations
      • Machine learning algorithms
  • Queen's University Belfast (UK):
    • Study of thermal properties in cement-based thermoelectric materials using computer simulations:
      • FENICS: the Heat Transport Equation is solved using the finite element method to calculate the thermal conductivity.
      • Neural Networks are used to study the dependence of the thermal conductivity on different variables.

• Teacher Assistant (2 years)
  • Queen's University Belfast (UK).
    • Assessing performance and marking reports.
    • Helping students understand the contents through problems and exercises. 
    • Providing detailed and regular feedback to teachers on pupils' progress. 
    • Marking assignments. 
    • Subject: 
      • Mathematical Physics (PHY2006, September 2019 – December 2019): Advanced linear algebra, Fourier series and Fourier transform, Partial differential equations, Hamiltonian Mechanics.
      • Methods of Operational Research (SOR2003, January 2019 – April 2019): study of inventories; use of Lagrange multipliers; stochastic inventory models including service levels; simple and adaptive forecasting; network planning including PERT; Gantt charts and resource smoothing; decision analysis including utility curves, decision trees and Bayesian statistics.
      • Linear and Dynamic Programming (SOR3001, September 2018 – December 2018): equipment replacement problem, allocation, simplex method, final tableau, post-optimal analysis, transportation and assignment problems, network flows...
      • Scientific Skills (PHY1004, September 2017 – February 2018)

• Software Developer & DevOps Engineer (1 year)
  • GFT Iberia (Spain)
    • The aim of this project WAS to study and analyse the investment activities performed by Deutsche Bank (DB-UK/US), the client. In the USA, most of the investment activities are subject to the Volcker Rule, and periodic reports have to be submitted. This project analyses the data generated by the bank and creates these reports according to the Volcker Rule, so this project was named after the rule: The Volcker project. 
    • This project brings together people from GFT (70-90 people in Madrid, Barcelona, Valencia and Sorocaba), Wipro (35 testers) and Deutsche Bank (30 people), divided into small groups of 10-15 people. I was part of the DevOps team and the SL3 team. 
    • As a DevOps team member, I had different responsibilities:
      • release management: management and release of the product from development through production and coordination of the different groups involved in the process: developers, testers and client. 
      • automation architect: analysis design, and implementation of strategies for continuous deployments. I also wrote code (python, Unix) to speed up processes.
      • user onboarding: creation and management of accounts and permissions
    • As a production support developer, I had to 
      • handle high important issues from production. 
      • investigate and analyse production bugs. 
      • fix bugs in production with hadoop, java or Unix. 
    • Technology:
      • Big Data: Hadoop, Map Reduce, Oozie, Sqoop, Hive.
      • Software Development Lifecycle Tools: Maven, Nexus, JIRA, Confluence, Crucible, Sonar, Team City, IBM UrbanCode Deploy
      • Otras: Java, Python, PL/SQL, Shell Script, MRUnit (unit testing)

Education

• 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.

• Science and technology of materials.

• Area of work: Physics; Mathematics and Statistics; Programming (Python, Matlab); Data analysis.

Relevant non-university level courses or training programs:

• Area of work: Functions and Procedures of Judicial Expert Appraisals. Spanish Legal Framework. Concepts of Intellectual and Industrial Property. Legal and Juridical Aspects. Software Asset Management. Fraud, Counterfeiting, and Intellectual & Industrial Property Litigation.

• Area of work: Patents, PCT, Filling, Searching.

• Area of work: Patents, PCT, Filling, Searching.

• Area of work: Research and development, Horizon Program, Excellence, Partners.

• Area of work: Java, SQL.

• SQL and Relational Databases 101, by Cognitive Class and Powered by IBM (2025). 
• Docker Essentials: A Developer Introduction, by Cognitive Class and Powered by IBM (2025). 
• Data Analysis Using Python, by IBM (2020)
• Deep Learning using TensorFlow, by IBM (2020)
• Data Visualization Using Python, by IBM (2020)
• Deep Learning, by IBM (2017)
• DEV 301 - Developing Hadoop ApplicationsDEV 301 - Developing Hadoop Applications, by MapR Technologies, acquired by Hewlett Packard Enterprise company in 2019 (2016)
• Introduction to Linux (LinuxFoundationX LFS101x.2), by edX (2016)
• Big Data Programming, by IBM (2015)
• Big Data Foundations, by IBM (2015)
• Big Data Hadoop Foundations, by IBM (2015)

Publications

• Francisco Fernandez, Soorya Saravanan, Rashen Lou Omongos, Javier F. Troncoso, Diego E. Galvez-Aranda, Alejandro A. Franco; Transfer learning assessment of small datasets relating manufacturing parameters with electrochemical energy cell component properties, npj Advanced Manufacturing 2, 14 (2025). 
•  Aoife K. Lucid, Javier F. Troncoso, Jorge Kohanoff, Stephen Fahy, Ivana Savić; Structure and thermal boundary resistance of basal plane twin boundaries in Bi2Te3, Phys. Chem. Chem. Phys. 2025.
• 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).

• Maria-Magdalena Titirici, Patrik Johansson, Maria Crespo Ribadeneyra, Heather Au, Alessandro Innocenti, Stefano Passerini, Evi Petavratzi, Paul Lusty, Annika Ahlberg Tidblad, Andrew J Naylor, Reza Younesi, Yvonne A Chart, Jack Aspinall, Mauro Pasta, Joseba Orive, Lakshmipriya Musuvadhi Babual, Marine Reynaud, Kenneth G Latham, Tomooki Hosaka, Shinichi Komaba, Jan Bitenc, Alexandre Ponrouch, Heng Zhang, Michel Armand, Robert Kerr, Patrick C Howlett, Maria Forsyth, John Brown, Alexis Grimaud, Marja Vilkman, Kamil Burak Dermenci, Seyedabolfazl Mousavihashemi, Maitane Berecibar, Jean E Marshall, Con Robert McElroy, Emma Kendrick, Tayeba Safdar, Chun Huang, Franco M Zanotto, Javier Fernandez Troncoso, Diana Zapata Dominguez, Mohammed Alabdali, Utkarsh Vijay, Alejandro A Franco, Sivaraj Pazhaniswamy, Patrick S Grant, Stiven Lopez Guzman, Marcus Fehse, Montserrat Galceran Mestres and Néstor Antuñano; 2024 roadmap for sustainable batteries, Journal of Physics: Energy 6,  041502 (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).

• 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).

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

• 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:

• 2nd European Symposium on Artificial Intelligence in Manufacturing (ESAIM). Stavros Niarchos Foundation Cultural Center, Athens (Greece). 15-16 October, 2024.

• SiMET spring meeting. Hotel Mercure Offenburg Am Messeplatz, Offenburg (Germany). 20-22 March, 2024.

• Upcell Alliance Barcelona 2023. Barcelona East school of Engineering, Barcelona (Spain). 5-6 October, 2023.

• The 4th International Symposium on Phase-Field Modelling in Materials Science. Ruhr-Univerität Bochum, Bochum (Germany). 22-25 July, 2019 (poster).

• APS March Meeting Boston 2019. Boston Convention and Exhibition Center, Boston (USA). 4-8 March, 2019.

• Thermoelectric Materials: From Theoretical Design to Industrial Application. Tyndall National Institute, Cork (Ireland). 3-6 July, 2017 (poster).

Participation in Proposals:

• ERC Transition (funding programme under Horizon Europe targeting innovation activities that goes beyond the experimental proof of principle, to support the maturation, development and validation of a novel technology) ;

• CRNS Rise (French program that aims to support researcher centers in the creation of startups) ;

• i-Lab Innovation Competition (French program conducted by Bpifrance that aims to identify projects for the creation of innovative technologies and support the best of them through financial support) ;

• Call for Master thesis in Switzerland.

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