Machine Learning for Quantum Matter
from
Monday, 26 August 2019 (09:00)
to
Wednesday, 28 August 2019 (18:00)
Monday, 26 August 2019
09:30
Introduction
-
Alexander Balatsky
Introduction
Alexander Balatsky
09:30 - 09:45
Room: 132:028
09:45
Quantum Machine Learning for Quantum Simulation
-
Jacob Biamonte
Quantum Machine Learning for Quantum Simulation
Jacob Biamonte
09:45 - 10:45
Room: 132:028
10:45
Coffee break
Coffee break
10:45 - 11:00
Room: 132:028
11:00
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 - 12:00
Room: 132:028
12:00
Lunch
Lunch
12:00 - 14:00
Room: Albanova Restaurant Entré
14:00
Organic Quantum Matter and the Organic Materials Database
-
Matthias Geilhufe
Organic Quantum Matter and the Organic Materials Database
Matthias Geilhufe
14:00 - 15:00
Room: 132:028
15:00
Machine learning modeling of superconducting critical
-
Valentin Stanev
Machine learning modeling of superconducting critical
Valentin Stanev
15:00 - 16:00
Room: 132:028
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: 132:028
16:30
Unsupervised detection of topological quantum state equivalences
-
Oleksandr Balabanov
Unsupervised detection of topological quantum state equivalences
Oleksandr Balabanov
16:30 - 17:00
Room: 132:028
17:00
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
17:00 - 17:30
Room: 132:028
18:30
Reception
Reception
18:30 - 21:00
Room: Albanova Entrance
Tuesday, 27 August 2019
09:00
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
09:00 - 10:00
Room: 132:028
10:00
Coffee break
Coffee break
10:00 - 10:15
Room: 132:028
10:15
Navigating chemical space with quantum machine learning
-
Anatole von Lilienfeld
Navigating chemical space with quantum machine learning
Anatole von Lilienfeld
10:15 - 11:15
Room: 132:028
11:15
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 - 12:15
Room: 132:028
12:15
Lunch
Lunch
12:15 - 14:00
Room: Albanova Restaurant Entré
14:00
Effective model estimation for magnetic materials by machine learning
-
Rio Tamura
Effective model estimation for magnetic materials by machine learning
Rio Tamura
14:00 - 15:00
Room: 132:028
15:00
Spin wave excitations of magnetic metal organic materials
-
Johan Hellsvik
Spin wave excitations of magnetic metal organic materials
Johan Hellsvik
15:00 - 16:00
Room: 132:028
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: 132:028
16:30
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
16:30 - 17:30
Room: 132:028
Wednesday, 28 August 2019
09:00
SchNet - An interpretable atomistic neural network
-
Kristof Schütt
SchNet - An interpretable atomistic neural network
Kristof Schütt
09:00 - 10:00
Room: 132:028
10:00
Coffee break
Coffee break
10:00 - 10:15
Room: 132:028
10:15
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 - 11:15
Room: 132:028
11:15
Phylogenetic operads in machine learning
-
Caroline Brembilla
Phylogenetic operads in machine learning
Caroline Brembilla
11:15 - 11:45
Room: 132:028
11:45
Microsoft’s Azure ML and AI modeling portfolio
-
Joana Olivia
Microsoft’s Azure ML and AI modeling portfolio
Joana Olivia
11:45 - 12:15
Room: 132:028
12:15
Lunch
Lunch
12:15 - 14:00
Room: Albanova Restaurant Entré
14:00
Dirac Materials and Informatics
-
Alexander Balatsky
Dirac Materials and Informatics
Alexander Balatsky
14:00 - 15:00
Room: 132:028
15:00
Determining spectrum-structure relation with machine learning techniques
-
Yi Luo
Determining spectrum-structure relation with machine learning techniques
Yi Luo
15:00 - 15:30
Room: 132:028
15:30
Coffee and round table discussion
Coffee and round table discussion
15:30 - 16:30
Room: 132:028