E-LIB Suche - Ergebnisse für: Wenzlick, Madison

1

Automated Grain Boundary (GB) Segmentation and Microstructu..:

Chowdhury, Shoieb Ahmed ; Taufique, M. F. N. ; Wang, Jing...
Integrating Materials and Manufacturing Innovation. 13 (2024) 1 - p. 244-256 , 2024

Link: https://doi.org/10.1007/..

2

Critical mineral source potential from oil & gas produced w..:

Smith, Kathryn H. ; Mackey, Justin E. ; Wenzlick, Madison..
Science of The Total Environment. 929 (2024) - p. 172573 , 2024

Link: https://doi.org/10.1016/..

3

Extensive pipeline location data resource: Integrating repo..:

Pfander, Isabelle ; Romeo, Lucy ; Duran, Rodrigo...
Data in Brief. 55 (2024) - p. 110728 , 2024

Link: https://doi.org/10.1016/..

4

Uncertainty quantification for Bayesian active learning in ..:

Mamun, Osman ; Taufique, M. F. N. ; Wenzlick, Madison..
Scientific Reports. 12 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

5

Assessment of Outliers in Alloy Datasets Using Unsupervised..:

Wenzlick, Madison ; Mamun, Osman ; Devanathan, Ram..
JOM. 74 (2022) 7 - p. 2846-2859 , 2022

Link: https://doi.org/10.1007/..

6

Applied machine learning model comparison: Predicting offsh..:

Dyer, Alec S. ; Zaengle, Dakota ; Nelson, Jake R....
Marine Structures. 83 (2022) - p. 103152 , 2022

Link: https://doi.org/10.1016/..

7

Incorporating Historical Data and Past Analyses for Improve..:

, In: The Minerals, Metals & Materials Series; TMS 2021 150th Annual Meeting & Exhibition Supplemental Proceedings,

Wenzlick, Madison ; Mamun, Osman ; Devanathan, Ram.. - p. 461-472 , 2021

Link: https://doi.org/10.1007/..

8

A machine learning aided interpretable model for rupture st..:

Mamun, Osman ; Wenzlick, Madison ; Hawk, Jeffrey.
Scientific Reports. 11 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

9

Machine learning augmented predictive and generative model ..:

Mamun, Osman ; Wenzlick, Madison ; Sathanur, Arun..
npj Materials Degradation. 5 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

10

Data Science Techniques, Assumptions, and Challenges in All..:

Wenzlick, Madison ; Mamun, Osman ; Devanathan, Ram..
Journal of Materials Engineering and Performance. 30 (2021) 2 - p. 823-838 , 2021

Link: https://doi.org/10.1007/..

11

Techno-economic analysis of converting oil & gas produced w..:

Wenzlick, Madison ; Siefert, Nicholas
Desalination. 481 (2020) - p. 114381 , 2020

Link: https://doi.org/10.1016/..

12

Data Assessment Method to Support the Development of Creep-..:

Wenzlick, Madison ; Bauer, Jennifer R. ; Rose, Kelly..
Integrating Materials and Manufacturing Innovation. 9 (2020) 1 - p. 89-102 , 2020

Link: https://doi.org/10.1007/..

13

Automated Grain Boundary (GB) Segmentation and Microstructu..:

Chowdhury, Shoieb Ahmed ; Taufique, M. F. N ; Wang, Jing...
http://arxiv.org/abs/2305.07790. , 2023

Link: http://arxiv.org/abs/230..

14

Uncertainty quantification for Bayesian active learning in ..:

Mamun, Osman ; Taufique, M. F. N ; Wenzlick, Madison..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826314/. , 2022

Link: http://www.ncbi.nlm.nih...

15

A machine learning aided interpretable model for rupture st..:

Mamun, Osman ; Wenzlick, Madison ; Hawk, Jeffrey.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943809/. , 2021

Link: http://www.ncbi.nlm.nih...