AI-Accelerated Materials Discovery I
30 May 2023
P - Computations for materials – discovery, design and the role of data
•
P05
•
10:00
>
12:00
•
AI-Accelerated Materials Discovery I
•
Londres 2 (Ground floor)
P - Computations for materials – discovery, design and the role of data
10:00
•
1053
•
Active materials exploration and characterization with Bayesian optimization
>
P.
Patrick
RINKE (Espoo)
10:30
•
24
•
Overlooked design parameters for efficient thermoelectric devices
>
D.
Denis
MUSIC (Malmö)
10:45
•
2517
•
Concepts for Predicting Phase Transition
>
M.
Mario
GRAML (Linz)
11:00
•
1098
•
How quantum crystallography can aid materials design
>
S.
Simon
GRABOWSKY (Bern)
11:15
•
1317
•
Lessons learned from an international Materials Acceleration Platform
>
M.
Monika
VOGLER (Ulm)
11:30
•
2527
•
Accurate estimation of diffusion coefficients and their uncertainties from computer simulation
>
B.
Benjamin
MORGAN (Bath)
11:45
•
92
•
Machine Learning small datasets: The good, the bad and the average
>
D.
Danny
VANPOUCKE (Diepenbeek)
|