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