Pedro Carrrero Santos

Experience

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  A3V Consulting S.L

  Sept 2019 - Jul 2020

  Consultant Trainee

  At A3V consulting my effort was focused specifically in the dynamic stain aging of steel, which is a consequence that happens when deforming the steel and other metals at high speed. Here I trained in an industry related scheme where there were specific problems to solve and posed questions with limited time and resources available to resolve them.I used the packages Matlab, Phyton, Abaqus and Arduino.

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  CSIC

  Sept 2020 - Jul 2021

  Trainee and Bachelors Thesis

  I carried out work as a trainee and also developed my degree thesis at CENIM wich is the National Center of Metallurgic Research, part of the CSIC (Spanish National Research Council). My work has been integrated in the MATERALIA group, a research group centered in the solid phase transformation of steel and the study of its properties. In this framework I have been developing my final degree project, focusing in strain effect in bainitic and nano bainitic steels.In my project I have worked with SEM, TEM, XRD and other techniques. Show less

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  University of Antwerp

  Nov 2021 - Mar 2022

  Visiting Student

  As a part of a Blended Intensive Program for Sustainable and Resilient Infrastructure I worked in non-destructive test methods in order to estimate actual service of life of concrete constructions both experimentally and using statistic techniques such as Monte Carlo Simulations.

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  Massachusetts Institute of Technology

  Sept 2022 - May 2023

  Visiting Researcher

  At the Laboratory of Electrochemical Interfaces we focus our efforts on laying the scientific groundwork and proof-of-principle material systems for the next generation of high-efficiency devices for energy conversion and information processing, based on solid state ionic-electronic materials.I am currently working in two projects:- Development of Polymer/Ceramic composite as solid electrolyte- Study of the cathode-electroltyte interface

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  MITxUPM Mentorship Program

  Feb 2023 - now

  Founder MITxUPM Mentorship Program

  Our mission at MITxUPM Mentorship Program is to assist students from UPM that have received a Santander Fellowship in overcoming the primary challenges that former fellows have encountered. The main goals of the program include mitigating cultural shock, aiding in their adaptation to their new job, and sharing experiences on topics like visa-related issues and housing problems. The program believes that this support is crucial for both the students and the groups they will be working with in order to facilitate world-class research at MIT. Show less

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  National Institute for Materials Science

  Jun 2023 - Aug 2023

  Visiting Researcher

  Study of hydrogen as an energy vector and materials for its conduction.- Niquel chromium alloy study by means of SEM, DCT and Back-scattered electrons.- Development of computer vision models to analyze the experimental result. Dragonfly software segmaentation and computation of different parameters. - Machine Learning methods for segmentation of the grains and analysis of the images obtained.

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  Massachusetts Institute of Technology and Universidad Complutense de Madrid

  Sept 2023 - now

  Machine Learning for BESS (solid Electolyte) Master Thesis

  - Developed computational models for solid-state battery electrolytes using Machine Learning (ML) techniques to replace resource-intensive Density Functional Theory (DFT) simulations.- Evaluated and compared the performance of three neural network-based algorithms—CHGNet, Allegro, and M3GNet—to predict material properties and create accurate models for solid-state electrolytes.- Conducted a comparative analysis between ML-driven models and traditional DFT simulation results, demonstrating that ML models can effectively approximate DFT calculations, providing a more efficient and cost-effective solution.- Contributed to accelerating the development of new materials for solid-state batteries, optimizing both computational resources and development time. Show less

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  IMDEA Energía

  Apr 2024 - Aug 2024

  Concentrated Solar Power (CSP)

  Artificial Intelligence in Modular, High-Efficiency, Manageable, and Integrable Concentrated Solar Power (CSP) Technologies- Conducted technological surveillance on the use of artificial intelligence in renewable energy generation technologies, primarily focused on concentrated solar power (CSP) systems.- Generated numerical data using ray tracing techniques for efficiency analysis and optimization working with the digital twin. - Supported the development of machine learning algorithms to enhance prediction and classification in modular, high-efficiency CSP technologies, applicable in both urban environments and industrial processes. Show less