Rechnerische Unsicherheitsquantifizierung in Nanotechnologie

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Primary Data

Project Acronym Projekt Kurzbezeichnung
UncertQuant
 
Project Title (de) Projekttitel (de)
Rechnerische Unsicherheitsquantifizierung in Nanotechnologie
 
Project Title (en) Projekttitel (en)
Computational Uncertainty Quantifications in Nanotechnology
 
Consortium Coordinator Koordinator des Konsortiums
 
Principal Investigator Projektleiter_in
 

Grants

Funder/Funding Agency Fördergeber
FWF - Österr. Wissenschaftsfonds
Grant number Förderkennnummer
V 1000-N
 

Publications

Results 1-9 of 9 (Search time: 0.003 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Taghizadeh, Leila PDE-based Bayesian Inverse Problems in NanotechnologyPresentation Vortrag7-Nov-2025
2Taghizadeh, Leila PDE-based Bayesian Inversion in NanoelectronicsInproceedings Konferenzbeitrag4-Sep-2025
3Taghizadeh, Leila ; Jüngel, Ansgar Infinite Dimensional Bayesian Inversion for Semiconductor DevicesInproceedings KonferenzbeitragApr-2025
4Mousavi, Aida ; Taghizadeh, Leila Bayesian parameter identification for the Brusselator reaction-diffusion modelInproceedings Konferenzbeitrag28-Feb-2025
5Taghizadeh, Leila Uncertainty Quantification in Semiconductor ModelsPresentation Vortrag20-Feb-2025
6Taghizadeh, Leila ; Jüngel, Ansgar Bayesian Inversion for the Identification of the Doping Profile in Unipolar Semiconductor DevicesArticle Artikel 2025
7Taghizadeh, Leila Bayesian Inversion for Semiconductor Inverse ProblemsPresentation Vortrag13-Aug-2024
8Taghizadeh, Leila Nanotechnology PDE Models under UncertaintyPresentation Vortrag4-Jun-2024
9Taghizadeh, Leila A pCN-MCMC Method for a Bayesian Inverse Problem in Nanoscale DevicesInproceedings Konferenzbeitrag21-Feb-2024