About me

Juan Iván Gómez Peralta, Ph. D.

gomezperalta.ai@gmail.com (Preferred) Institutional email: ivan.gomez@cinvestav.mx

Professional summary

I am a dedicated and experienced researcher specializing in the development of deep neural networks to solve diverse machine learning problems, including supervised, unsupervised, and generative tasks.

Some of my academic interest in the application of ML and DL techniques are:

  1. Prediction of new crystalline materials for optoelectronic devices.
  2. Extending the capabilities of the characterization techniques for materials.
  3. Natural language processing applied to scientific literature.

Publications in refereed journals

  1. J. I. Gómez-Peralta, X. Bokhimi, P. Quintana “Insights from the reciprocal space revealed by a convolutional neural network and transfer learning” Scripta Materialia 116697(2025).
  2. N. G. García-Peña, R. Redón, J. I. Gómez-Peralta, D. Díaz, X. Bokhimi, L.-C. Daza-Gómez “Catalytic evaluation of microwave-assisted copper cobaltite oxide (CuCo2O4) for propane oxidation” Dalton Trans. (2025).
  3. J. I. Gómez-Peralta, X. Bokhimi, P. Quintana «Convolutional Neural Networks to assist the assessment of lattice parameters from X-ray powder diffraction» J. Phys. Chem. A, Vol. 127, 36, 7655-7664 (2023).
  4. J. I. Gómez-Peralta, X. Bokhimi, N. G. García-Peña, P. Quintana-Owen, G. Rodríguez-Gattorno «Band-gap assessment from X-ray powder diffraction using artificial intelligence» J. Appl. Cryst. Vol. 55, 1538-1548 (2022).
  5. J. I. Gómez-Peralta, N. G. García-Peña, X. Bokhimi «Crystal-site-based Artificial Neural Networks for Material Classification» Crystals Vol. 11 (9), 1039 (2021).
  6. J. I. Gómez-Peralta, X. Bokhimi «Ternary halide perovskites for possible optoelectronic applications revealed by Artificial Intelligence and DFT calculations» Materials Chemistry and Physics Vol. 267, 124710 (2021).
  7. Juan I. Gómez-Peralta, X. Bokhimi “Discovering new perovskites with artificial intelligence” J. Solid State Chemistry, Vol. 285, 121253 (2020).
  8. América R. Vázquez-Olmos, Juan I. Gómez-Peralta, Roberto Y. Sato-Berrú, Ana L. Fernández-Osorio “Diluted magnetic semiconductors base don Mn-doped In2O3 nanoparticles” J. of Alloys and Compounds, Vol. 615, Supplement 1, S522-S525 (2014).
  9. A. Pérez-González, Juan I. Gómez-Peralta, Ariadna Garza, Norah Barba-Bahrens, “Importancia del molibdeno en los sistemas biológicos y su papel en enzimas mononucleares como parte del cofactor Moco” Educación Química, Vol. 23, No. 1 (2012).

Congress Participations

  1. XI National Congress of Crystallography. Presented work “Extending the characterization capabilities of X-ray powder diffraction using Artificial Intelligence”. Pachuca, Hidalgo, 2022.
  2. XXX International Materials Research Congress. Cancún, Q. Roo. 2022. Talk: «Band-gap assessment using X-ray powder diffraction and Artificial Intelligence«.
  3. IX National Congress on Crystallography. Oaxaca, Oaxaca. 2018. Invited Conference “Discovering New Perovskites with Artificial Intelligence”.

Offered courses

  1. «Introduction to Machine Learning and Deep Learning”. A series of self-organized courses aimed at introducing these topics to the Mexican population. The courses are offered under the social retribution policy of the Ministry of Science and Technology. The courses have been offered virtually on the following dates: July 15-18th 2024; August 10th – September 28th, 2024 (weekly); and October 17th – December 5th, 2024 (weekly); May 17th – July 5th 2025 (weekly).
  2. “Convolutional Neural Networks for X-ray powder diffraction (unstructured data)”. Tutorial given during the 23th Mexican International Congress on Artificial Intelligence, organized by the Mexican Society of Artificial Intelligence (SMIA). November, 2023.
  3. «Introducción a la búsqueda de materiales cristalinos mediante Inteligencia Artificial» Virtual Workshop offered during CONCEI-1 (1st Congress for Exact Sciences and Engineering), organized by Autonomous University of Yucatan (UADY), November, 2022.
  4. «Fundamentos de Espectroscopía» Mandatory course for chemistry students of School of Chemistry, UNAM. February, 2016 – January, 2017.