SAIFR:3547

Some developments and future Challenges in Machine Learning in Condensed Matter Physics.

(2023). Some developments and future Challenges in Machine Learning in Condensed Matter Physics.. ICTP South American Institute for Fundamental Research. https://scivideos.org/index.php/ictp-saifr/3547

Some developments and future Challenges in Machine Learning in Condensed Matter Physics.. ICTP South American Institute for Fundamental Research, Apr. 19, 2023, https://scivideos.org/index.php/ictp-saifr/3547 

          @misc{ scivideos_SAIFR:3547,
            doi = {},
            url = {https://scivideos.org/index.php/ictp-saifr/3547},
            author = {},
            keywords = {ICTP-SAIFR, IFT, UNESP},
            language = {en},
            title = {Some developments and future Challenges in Machine Learning in Condensed Matter Physics.},
            publisher = { ICTP South American Institute for Fundamental Research},
            year = {2023},
            month = {apr},
            note = {SAIFR:3547 see, \url{https://scivideos.org/index.php/ictp-saifr/3547}}
          }
Alexandre Reily Rocha
Talk numberSAIFR:3547
Source RepositoryICTP – SAIFR
Collection
Talk Type Conference
Subject

Abstract

ChatGPT has spread like wildfire, and is now the face of the Artificial Intelligence revolution. However, this revolution, albeit in a quiter way, has been ongoing for some time. In the case of materials science and condensed matter physics, it has led to a paradigm change in the way we design and study novel materials. In this talk I will discuss some of the important advances in the field, and some of the issues that are yet to be tackled.