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pro vyhledávání: '"Omar Betancourt"'
Deep learning approach for chemistry and processing history prediction from materials microstructure
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Finding the chemical composition and processing history from a microstructure morphology for heterogeneous materials is desired in many applications. While the simulation methods based on physical concepts such as the phase-field method can
Externí odkaz:
https://doaj.org/article/5387b9043672476892a692fd5e370618
Publikováno v:
Computers and Electronics in Agriculture. 205:107591
Deep learning approach for chemistry and processing history prediction from materials microstructure
Publikováno v:
Scientific reports. 12(1)
Finding the chemical composition and processing history from a microstructure morphology for heterogeneous materials is desired in many applications. While the simulation methods based on physical concepts such as the phase-field method can predict t
Publikováno v:
SSRN Electronic Journal.
Finding the chemical composition and processing history from a microstructure morphology for heterogeneous materials is desired in many applications. While the simulation methods based on physical concepts such as the phase-field method can predict t
Autor:
Daylon Black, Jim Browning, Ryan Harper, Winston Chern, Tayo Akinwande, Omar Betancourt, Stephen Longmuir, Theo Moodley, Donald Plumlee, Andy Yue, Patrick Moore, Tiffany Berntsen, Marcus Pearlman, Steven Saldivar, Tanya Lu
Publikováno v:
2018 IEEE International Conference on Plasma Science (ICOPS).
Magnetrons can be phase-locked using external systems. PIC simulations1 have shown that phase-locking is possible using modulated electron in jection to control the spoke formation. An experimental setup using Gated Field Emission Arrays (GFEAs) for
Publikováno v:
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Universidad Nacional Autónoma de México
UNAM
Redalyc-UNAM
Avances en Recursos Hidráulicos (Colombia) Num.16
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Universidad Nacional Autónoma de México
UNAM
Redalyc-UNAM
Avances en Recursos Hidráulicos (Colombia) Num.16
"En este trabajo se exploran las capacidades y limitaciones que ofrecen las ecuaciones de aguas someras basadas en la analogía del flujo compresible para representar el flujo en canales por medio de la validación con datos analíticos. La teoría d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ae16ea707ead697d26b81f37e4686bd2
http://bdigital.unal.edu.co/14916/
http://bdigital.unal.edu.co/14916/
Autor:
Ann Wellens, Arturo Palacio Pe´rez, Alejandro Rodríguez Valdés, Fabian Omar Betancourt Quiroga
Publikováno v:
Volume 2: Safety and Reliability; Pipeline Technology.
Computer models have proved to be useful tools to assess complex processes in environmental sciences. One type of application are oil spills, where models are used to provide insight into the processes interfering with the dispersion of the spill and
Publikováno v:
21st International Conference on Offshore Mechanics and Arctic Engineering, Volume 2.
A revision of the models used to study the behavior of the mass loss processes associated with petroleum spills on water and to compare those models with experimental data (3,23). The processes of mass transfer studied in this work are evaporation, d
Publikováno v:
21st International Conference on Offshore Mechanics and Arctic Engineering, Volume 2.
A revision to mathematical and numerical to use in order to determine the trajectory and growth of a spill of petroleum in water was done. A numerical model was compared with some field data (11,12) and mathematical models. This comparison allowed us
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