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Osman Mamun

Showing results (1-10 of 5) with videos related to

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Scientific Reports|March 22, 2021
A machine learning aided interpretable model for rupture strength prediction in Fe-based martensitic and austenitic alloysOsman Mamun, Madison Wenzlick, Jeffrey Hawk, et al.
The Journal of Physical Chemistry. A|February 26, 2019
Graph Theory Approach to High-Throughput Surface Adsorption Structure GenerationJacob R Boes, Osman Mamun, Kirsten Winther, et al.
Scientific Data|May 30, 2019
High-throughput calculations of catalytic properties of bimetallic alloy surfacesOsman Mamun, Kirsten T Winther, Jacob R Boes, et al.
Scientific Reports|February 9, 2022
Uncertainty quantification for Bayesian active learning in rupture life prediction of ferritic steelsOsman Mamun, M F N Taufique, Madison Wenzlick, et al.
Scientific Data|May 30, 2019
Catalysis-Hub.org, an open electronic structure database for surface reactionsKirsten T Winther, Max J Hoffmann, Jacob R Boes, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|March 22, 2021
A machine learning aided interpretable model for rupture strength prediction in Fe-based martensitic and austenitic alloysOsman Mamun, Madison Wenzlick, Jeffrey Hawk, et al.
The Journal of Physical Chemistry. A|February 26, 2019
Graph Theory Approach to High-Throughput Surface Adsorption Structure GenerationJacob R Boes, Osman Mamun, Kirsten Winther, et al.
Scientific Data|May 30, 2019
High-throughput calculations of catalytic properties of bimetallic alloy surfacesOsman Mamun, Kirsten T Winther, Jacob R Boes, et al.
Scientific Reports|February 9, 2022
Uncertainty quantification for Bayesian active learning in rupture life prediction of ferritic steelsOsman Mamun, M F N Taufique, Madison Wenzlick, et al.
Scientific Data|May 30, 2019
Catalysis-Hub.org, an open electronic structure database for surface reactionsKirsten T Winther, Max J Hoffmann, Jacob R Boes, et al.
Pageof 1