Date: 18-20 April 2023

Venue: Institute of Physics, Lodz University of Technology, Poland

Workshop on Quantum-Chemical Methods for Strongly Correlated Systems

Gain Insight into Strongly Correlated Materials with Our Upcoming Scientific Workshop!   

Strongly correlated systems remain a challenge, as they require a multireference description and, at the same time, an account of dynamic correlation energy. Over the years we have witnessed a rapid progress in the development of theoretical and computational methods applicable to systems with strong correlation.

Understand the Potential of Strongly Correlated Materials with Theory and Practice

The aim of this workshop is to provide an in-depth exploration of the latest developments in electronic structure methods for strongly correlated systems. Our team of expert speakers and tutors will provide you with a comprehensive understanding of the subject through a combination of lectures and tutorials, paying special attention to high performance computing.

Discover the Power of Machine Learning

A separate session on machine learning will provide a unique opportunity to learn how to predict physical properties of the materials with the latest algorithms. With a focus on ultra-fast interpretable machine-learning potentials, this session is a must-attend for all scientists interested in cutting-edge machine learning techniques.

Hands-On Experience

Get hands-on experience using open-source TREX flagship codes such as:

• NECI
• Quantum Package
• GammCor

 
By the end of the workshop, you will have a deeper understanding of the theories implemented in these programs and the practical skills to use them in your own research.

Participants

The workshop is open to all participants. Lectures will have a didactic character and we strongly encourage advanced PhD students and postdocs to participate.

Requirements

Basic knowledge of ab initio electronic structure methods is required.

Fee

There is no registration fee. Lunches and banquet are provided to all participants.