O 109: Poster Session VIII: Poster to Mini-Symposium: Machine learning applications in surface science III
Donnerstag, 4. März 2021, 13:30–15:30, P
 |
13:30 |
O 109.1 |
Development of a Neural Network Potential for Metal-Organic Frameworks — •Marius Herbold and Jörg Behler
|
|
|
|
13:30 |
O 109.2 |
Predicting hydration layers on surfaces using deep learning — •Yashasvi S Ranawat, Ygor M Jaques, and Adam S Foster
|
|
|
| |
13:30 |
O 109.3 |
The contribution has been withdrawn.
|
|
|
|
13:30 |
O 109.4 |
Excitonic Wave Function Reconstruction from Near-Field Spectra Using Machine Learning Techniques — •Fulu Zheng, Sidhartha Nayak, and Alexander Eisfeld
|
|
|
|
13:30 |
O 109.5 |
Prediction of energetics in nucleation and non-equilibrium growth using machine learning — •Thomas Martynec, Sabine H. L. Klapp, and Stefan Kowarik
|
|
|
|
13:30 |
O 109.6 |
Predicting the activity and selectivity of bimetallic metal catalysts for ethanol reforming using machine learning — •Nongnuch Artrith
|
|
|
|
13:30 |
O 109.7 |
Using Neural Evolution algorithm to generate disordered High Entropy Alloys structures — •Conrard Giresse TETSASSI FEUGMO, Kevin Ryczko, Abu Anand, Chandra Singh, and Isaac Tamblyn
|
|
|
|
13:30 |
O 109.8 |
Automatic image evaluation of aberration-corrected HRTEM images of 2D materials. — •Christopher Leist, Haoyuan Qi, and Ute Kaiser
|
|
|
