Forschungsbericht 2023

Machine Learning in Virtual Materials Design M-EXK5

Leitung: Aydin, Roland C.
Gründungsdatum: 1.7.2023

Institut auf TORE

Publikationen

• Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features - Journal Article
  Schiessler, Elisabeth J.; Würger, Tim; Vaghefinazari, Bahram; Lamaka, Sviatlana V.; Meißner, Robert; Cyron, Christian J.; Zheludkevich, Mikhail L.; Feiler, Christian; Aydin, Roland
  npj Materials Degradation 7 (1): 74 (2023-12-01)
  Open Access | Publisher DOI
  
  
• Towards an accurate 3D reconstruction of nano-porous structures using FIB tomography and monte carlo simulations with machine learning - Journal Article
  Sardhara, Trushal; Shkurmanov, Alexander; Aydin, Roland; Cyron, Christian J.; Ritter, Martin
  Microscopy and microanalysis 29 (1): 545-546 (2023-07-22)
  Publisher DOI
  
  

Forschungsdaten

• Enhancing 3D reconstruction accuracy of multi-voltage FIB tomography images using multimodal machine learning - Dataset
  Sardhara, Trushal; Shkurmanov, Alexander; Li, Yong; Riedel, Lukas; Shi, Shan; Cyron, Christian J.; Aydin, Roland; Ritter, Martin
  Open Access
  
  
• Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials - Dataset
  Sardhara, Trushal; Shkurmanov, Alexander; Li, Yong; Shi, Shan; Cyron, Christian J.; Aydin, Roland; Ritter, Martin
  Open Access