Machine Learning for Quantum Matter
from
Monday, August 26, 2019 (9:00 AM)
to
Wednesday, August 28, 2019 (6:00 PM)
Monday, August 26, 2019
9:30 AM
Introduction
-
Alexander Balatsky
Introduction
Alexander Balatsky
9:30 AM - 9:45 AM
Room: 132:028
9:45 AM
Quantum Machine Learning for Quantum Simulation
-
Jacob Biamonte
Quantum Machine Learning for Quantum Simulation
Jacob Biamonte
9:45 AM - 10:45 AM
Room: 132:028
10:45 AM
Coffee break
Coffee break
10:45 AM - 11:00 AM
Room: 132:028
11:00 AM
Quantum error correction for the toric code using deep reinforcement learning
-
Mats Granath
Quantum error correction for the toric code using deep reinforcement learning
Mats Granath
11:00 AM - 12:00 PM
Room: 132:028
12:00 PM
Lunch
Lunch
12:00 PM - 2:00 PM
Room: Albanova Restaurant Entré
2:00 PM
Organic Quantum Matter and the Organic Materials Database
-
Matthias Geilhufe
Organic Quantum Matter and the Organic Materials Database
Matthias Geilhufe
2:00 PM - 3:00 PM
Room: 132:028
3:00 PM
Machine learning modeling of superconducting critical
-
Valentin Stanev
Machine learning modeling of superconducting critical
Valentin Stanev
3:00 PM - 4:00 PM
Room: 132:028
4:00 PM
Coffee break
Coffee break
4:00 PM - 4:30 PM
Room: 132:028
4:30 PM
Unsupervised detection of topological quantum state equivalences
-
Oleksandr Balabanov
Unsupervised detection of topological quantum state equivalences
Oleksandr Balabanov
4:30 PM - 5:00 PM
Room: 132:028
5:00 PM
Deriving descriptors from fundamental physical models for targeted material property prediction using machine learning
-
Ali Mazhar
Deriving descriptors from fundamental physical models for targeted material property prediction using machine learning
Ali Mazhar
5:00 PM - 5:30 PM
Room: 132:028
6:30 PM
Reception
Reception
6:30 PM - 9:00 PM
Room: Albanova Entrance
Tuesday, August 27, 2019
9:00 AM
Towards Universal Machine-Learning/Physics Model of Molecular Properties in Chemical Space
-
Alexandre Tkachenko
Towards Universal Machine-Learning/Physics Model of Molecular Properties in Chemical Space
Alexandre Tkachenko
9:00 AM - 10:00 AM
Room: 132:028
10:00 AM
Coffee break
Coffee break
10:00 AM - 10:15 AM
Room: 132:028
10:15 AM
Navigating chemical space with quantum machine learning
-
Anatole von Lilienfeld
Navigating chemical space with quantum machine learning
Anatole von Lilienfeld
10:15 AM - 11:15 AM
Room: 132:028
11:15 AM
Artificial intelligence methods for discovering novel materials and exotic compounds
-
Artem Oganov
Artificial intelligence methods for discovering novel materials and exotic compounds
Artem Oganov
11:15 AM - 12:15 PM
Room: 132:028
12:15 PM
Lunch
Lunch
12:15 PM - 2:00 PM
Room: Albanova Restaurant Entré
2:00 PM
Effective model estimation for magnetic materials by machine learning
-
Rio Tamura
Effective model estimation for magnetic materials by machine learning
Rio Tamura
2:00 PM - 3:00 PM
Room: 132:028
3:00 PM
Spin wave excitations of magnetic metal organic materials
-
Johan Hellsvik
Spin wave excitations of magnetic metal organic materials
Johan Hellsvik
3:00 PM - 4:00 PM
Room: 132:028
4:00 PM
Coffee break
Coffee break
4:00 PM - 4:30 PM
Room: 132:028
4:30 PM
New horizons for the fastest, densest and least dissipative brain-inspired computing
-
Johan Mentink
New horizons for the fastest, densest and least dissipative brain-inspired computing
Johan Mentink
4:30 PM - 5:30 PM
Room: 132:028
Wednesday, August 28, 2019
9:00 AM
SchNet - An interpretable atomistic neural network
-
Kristof Schütt
SchNet - An interpretable atomistic neural network
Kristof Schütt
9:00 AM - 10:00 AM
Room: 132:028
10:00 AM
Coffee break
Coffee break
10:00 AM - 10:15 AM
Room: 132:028
10:15 AM
Euclidean Neural Networks for Emulating Ab Initio Calculations and Generating Atomic Geometries
-
Tess Smidt
Euclidean Neural Networks for Emulating Ab Initio Calculations and Generating Atomic Geometries
Tess Smidt
10:15 AM - 11:15 AM
Room: 132:028
11:15 AM
Phylogenetic operads in machine learning
-
Caroline Brembilla
Phylogenetic operads in machine learning
Caroline Brembilla
11:15 AM - 11:45 AM
Room: 132:028
11:45 AM
Microsoft’s Azure ML and AI modeling portfolio
-
Joana Olivia
Microsoft’s Azure ML and AI modeling portfolio
Joana Olivia
11:45 AM - 12:15 PM
Room: 132:028
12:15 PM
Lunch
Lunch
12:15 PM - 2:00 PM
Room: Albanova Restaurant Entré
2:00 PM
Dirac Materials and Informatics
-
Alexander Balatsky
Dirac Materials and Informatics
Alexander Balatsky
2:00 PM - 3:00 PM
Room: 132:028
3:00 PM
Determining spectrum-structure relation with machine learning techniques
-
Yi Luo
Determining spectrum-structure relation with machine learning techniques
Yi Luo
3:00 PM - 3:30 PM
Room: 132:028
3:30 PM
Coffee and round table discussion
Coffee and round table discussion
3:30 PM - 4:30 PM
Room: 132:028