Full name Familienname, Vorname
Buchner, Florian
 
Main Affiliation Organisations­zuordnung
 

Results 1-10 of 10 (Search time: 0.014 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Wanzenboeck-2024-Computer Physics Communications-vor.pdf.jpgWanzenböck, Ralf ; Buchner, Florian ; Kovács, Péter ; Madsen, Georg Kent Hellerup ; Carrete, Jesús Clinamen2: Functional-style evolutionary optimization in Python for atomistic structure searchesArticle Artikel Apr-2024
2Wanzenböck, Ralf ; Buchner, Florian ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup Accelerated Search for Surface ReconstructionsPresentation VortragSep-2023
3Bichelmaier, Sebastian ; Carrete, Jesús ; Wanzenböck, Ralf ; Buchner, Florian ; Madsen, Georg K. H. Neural-network-backed effective harmonic potential study of the ambient pressure phases of hafniaArticle Artikel 17-May-2023
4Buchner, Florian ; Wanzenböck, Ralf ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup Predicting platinum adatom geometries on hematite for single-atom catalysisPresentation Vortrag30-Mar-2023
5Buchner, Florian The Elusive Fe₂O₃(1-102) 2×1 Reconstruction: New Prediction StrategiesPresentation VortragFeb-2023
6Wanzenböck, Ralf ; Arrigoni, Marco ; Bichelmaier, Sebastian ; Buchner, Florian ; Carrete, Jesús ; Madsen, Georg K H Neural-network-backed evolutionary search for SrTiO₃(110) surface reconstructionsArticle Artikel 1-Oct-2022
7Buchner, Florian ; Wanzenböck, Ralf ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup Adatom geometries for single atom catalysis on hematite predicted by an evolutionary strategyInproceedings Konferenzbeitrag23-Aug-2022
8Buchner, Florian Studies on the Fe₂O₃(1-102) Surface Using Evolutionary SearchPresentation Vortrag3-Apr-2022
9Buchner Florian - 2020 - Load dependence of the ab-initio real contact area.pdf.jpgBuchner, Florian Load dependence of the ab-initio real contact areaThesis Hochschulschrift 2020
10Buchner, Florian ; Jochum, Clemens ; Kahl, Gerhard ; Singraber, Andreas ; Dellago, Christoph Free energy landscapes for dendrimer-like DNAs via neural networksKonferenzbeitrag Inproceedings2019