???global.info.a_carregar???
Identification

Personal identification

Full name
Pedro José Monteiro Alves Carriço

Citation names

  • Carriço, Pedro
  • Carriço, Pedro J.M.A

Author identifiers

Ciência ID
3219-B3AC-82C3
ORCID iD
0000-0003-0364-2917
Google Scholar ID
Gt1Z8ooAAAAJ

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
French Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2)
Education
Degree Classification
2023/05/03 - 2023/09
Concluded
 Training Course - Scientific Research Methodologies (Curso de Especialização Tecnológica)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
 n/a
2020/10/17 - 2022/09/29
Concluded
 Master's in Physics (Mestrado)
Major in Simulation and Computational Modelling
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Computational materials screening using machine learning methods" (THESIS/DISSERTATION)
 18
2016/09 - 2020/08
Concluded
 Bachelor's in Physics (Licenciatura)
Universidade de Coimbra Departamento de Física, Portugal
 13
Projects

Grant

Designation Funders
2023/11/15 - Current Engineered Conductive Proteins for Bioelectronics
964593
Research Fellow
Universidade de Aveiro CICECO, Portugal
 European Commission
Ongoing
2023/06/01 - 2023/08/31 Ab initio search for practical superconducting materials
2022.09975.PTDC
Research Fellow
Universidade de Coimbra, Portugal
 Associação para o Desenvolvimento do Departamento de Física
Outputs

Publications

Conference poster
  1. Carriço, Pedro J.M.A; Ferreira, Márcio; Cerqueira, Tiago F.T.. Corresponding author: Carriço, Pedro J.M.A. "Network-predicted uncertainty for materials properties". Paper presented in Ciência 2023 - Encontro com a Ciência e Tecnologia em Portugal, 2023.
  2. Carriço, Pedro J.M.A; Ferreira, Márcio; Cerqueira, Tiago F.T.. Corresponding author: Carriço, Pedro J.M.A. "Network-predicted uncertainty for materials properties". Paper presented in DFT@PT, 2023.
  3. Carriço, Pedro J.M.A; Borlido, Pedro; Ferreira, Márcio; Cerqueira, Tiago F.T.. Corresponding author: Carriço, Pedro J.M.A. "Large scale screening of high refractive index materials". Paper presented in FÍSICA 2022 - 23ª Conferência Nacional de Física e 32º Encontro Ibérico para o Ensino da Física - Faculdade de Ciências da Universidade do Porto, 2022.
Journal article
  1. Carriço, Pedro J. M. A.; Ferreira, Márcio; Cerqueira, Tiago F. T.; Nogueira, Fernando; Borlido, Pedro. "High-refractive-index materials screening from machine learning and ab initio methods". Physical Review Materials 8 1 (2024): http://dx.doi.org/10.1103/physrevmaterials.8.015201.
    10.1103/physrevmaterials.8.015201
  2. Jonathan Schmidt; Noah Hoffmann; Hai-Chen Wang; Pedro Borlido; Pedro J. M. A. Carriço; Tiago F. T. Cerqueira; Silvana Botti; Miguel A. L. Marques. "Machine-learning-assisted determination of the global zero-temperature phase diagram of materials". Advanced Materials (2023): 2210788-2210788. http://dx.doi.org/10.1002/adma.202210788.
    10.1002/adma.202210788
Thesis / Dissertation
  1. "Computational materials screening using machine learning methods". Master, Universidade de Coimbra Departamento de Física, 2022. http://hdl.handle.net/10316/103031.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2022/07 Machine Learning Interatomic Potentials Seminar II - Master's in Physics
2021/11 Crystal Graph Convolutional Neural Networks in Materials' Science Seminar I - Master's in Physics

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2022/12/05 - 2022/12/05 Workshop on how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery.
Workshop
 NVIDIA Deep Learning Institute - Disaster Risk Monitoring Using Satellite Imagery
2022/04/27 - 2022/04/27 Presented the poster 'Ab initio Multifunctional Materials' Group', with the results of the Master’s degree project obtained at that stage.
Exhibition
 Dia da Investigação do Departamento de Física
Universidade de Coimbra Departamento de Física, Portugal
2022/04/19 - 2022/04/19 Workshop on the fundamentals of deep learning and its applications.
Workshop
 NVIDIA Deep Learning Institute - Fundamentals of Deep Learning
2021/12/14 - 2021/12/15 ETSF Internal Workshop, Coimbra, Portugal
Conference
 ETSF Internal Workshop
2021/12/09 - 2021/12/10 Discussion meeting on Machine Learning, particularly focusing on condensed matter physics and quantum chemistry.
Conference
 GDR REST - Machine Learning Discussion Meeting

Association member

Society Organization name Role
2007/07 - 2019/01 Associação Musical da Pocariça Musician
2016 - 2016 Associação de Estudantes da Escola Secundária de Cantanhede Treasurer