Resources | Online Lectures

Due to current travel restrictions, the organising committee has organised a online lectures series on 16-18 November 2020. Here you find the slides and video recordings from the online lectures.

Lecture Slides

Simulating Quantum Circuits Using Projected Entangled-Pair States by Guo Chu, Henan Key Laboratory of Quantum Information and Cryptography

Haldane chain with Dzyaloshinskii-Moriya interaction by Pinaki Sengupta, Nanyang Technological University, Singapore

Neural Network Quantum States and Transfer Learning by Dario Poletti, Singapore University of Technology and Design

Quantum Materials: A quantum Monte Carlo approach by Michele Casula, CNRS and Sorbonne Université

Introduction to Computational Materials Science in Sorbonne: from DFT to machine learning methods by Antonino Marco Saitta, Sorbonne Université

Spectral functions of Sr2IrO4 | From Cluster Dynamical Mean-Field Theory by Benjamin Lenz , Sorbonne Université

DFT and Surfaces: Materials Aspect by Ari Paavo Seitsonen, CNRS and ENS

“we can understand better what we see” by Martial Duchamp, Nanyang Technological University, Singapore

Data Driven Approach to Thermoelectric Materials Discovery – Machine Learning and High Throughput Computations by Kedar Hippalgaonkar, Nanyang Technological University, Singapore

A semi-classical Thomas-Fermi model to tune the metallicity of electrodes in classical simulations by Laura Scalfi, CNRS and Sorbonne Université

Solvation in reactive environments: from CO2 capture in molten carbonates to versatile charging of graphene in water by Rodolphe Vuilleumier, Sorbonne Université and ENS

Free-energy calculation of chemical reactions in solution by Fabio Pietrucci, Sorbonne Université

Efficient storage mechanisms for building better supercapacitors by Mathieu Salanne, Sorbonne Université

Video Recordings