You are cordially invited to the IPB COLLOQUIUM which will be held on Wednesday, 17 April 2019 at 12:00 in the “Zvonko Marić” lecture hall of the Institute of Physics Belgrade. The talk entitled

Machine Learning and Condensed Matter: What can we learn?

will be given by Prof. Dr. Nicolas Regnault (Laboratoire de Physique, Ecole Normale Superieure -  CNRS, Paris, France). The abstract of the talk:

Relying on the advance of computing power, algorithms and large databases, machine learning (ML) has become a paradigmatic change in many areas. The versatility of the techniques and the success of ML have triggered a large interest in this approach applied to condensed matter. Obviously, it can be used as an advanced data analysis method for experimental results. In this talk, we will focus on ML in more theoretical contexts. Through a few examples, we will unveil its potential applications. We will discuss how it can discriminate between different phases in numerical simulations and how it can be used to encode many-body quantum states in an efficient manner.

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