نتائج البحث - "Dinh, Nam T."

1

تقرير

Interface Capturing Flow Boiling Simulations in a Compact Heat Exchanger

المؤلفون: Iskhakova, Anna, Kondo, Yoshiyuki, Tanimoto, Koichi, Dinh, Nam T., Bolotnov, Igor A.

مصطلحات موضوعية: Physics - Fluid Dynamics

الوصول الحر: http://arxiv.org/abs/2211.10429Test

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2

تقرير

Advanced Transient Diagnostic with Ensemble Digital Twin Modeling

المؤلفون: Chen, Edward, Lin, Linyu, Dinh, Nam T.

مصطلحات موضوعية: Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control, 93C57

الوصول الحر: http://arxiv.org/abs/2205.11469Test

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3

تقرير

Data-driven Hi2Lo for Coarse-grid System Thermal Hydraulic Modeling

المؤلفون: Iskhakov, Arsen S., Dinh, Nam T., Leite, Victor Coppo, Merzari, Elia

مصطلحات موضوعية: Physics - Fluid Dynamics

الوصول الحر: http://arxiv.org/abs/2203.03577Test

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4

تقرير

Review of Physics-based and Data-driven Multiscale Simulation Methods for Computational Fluid Dynamics and Nuclear Thermal Hydraulics

المؤلفون: Iskhakov, Arsen S., Dinh, Nam T.

مصطلحات موضوعية: Physics - Fluid Dynamics

الوصول الحر: http://arxiv.org/abs/2102.01159Test

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5

تقرير

Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations. Part II

المؤلفون: Iskhakov, Arsen S., Dinh, Nam T.

مصطلحات موضوعية: Physics - Fluid Dynamics, Physics - Computational Physics

الوصول الحر: http://arxiv.org/abs/2009.11213Test

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6

مؤتمر

Video: Bubble Dynamics in Flow Boiling Conditions

المؤلفون: Iskhakova, Anna, Dinh, Nam T., Bolotnov, Igor A.

المصدر: 76th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion

الإتاحة: https://doi.org/10.1103/aps.dfd.2023.gfm.v0022Test
https://gfm.aps.org/meetings/dfd-2023/64f9fceb199e4c4a15ffb07fTest

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7

تقرير

Reynolds-Averaged Turbulence Modeling Using Type I and Type II Machine Learning Frameworks with Deep Learning

المؤلفون: Chang, Chih-Wei, Dinh, Nam T.

المصدر: Nuclear Science and Engineering, 194:8-9, 650-664, 2020

مصطلحات موضوعية: Physics - Fluid Dynamics, Physics - Computational Physics

الوصول الحر: http://arxiv.org/abs/1804.01065Test

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8

تقرير

Classification of Machine Learning Frameworks for Data-Driven Thermal Fluid Models

المؤلفون: Chang, Chih-Wei, Dinh, Nam T.

المصدر: International Journal of Thermal Sciences, Volume 135, January 2019, Pages 559-579

مصطلحات موضوعية: Physics - Fluid Dynamics

الوصول الحر: http://arxiv.org/abs/1801.06621Test

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9

تقرير

Coarse-Grid Computational Fluid Dynamic (CG-CFD) Error Prediction using Machine Learning

المؤلفون: Hanna, Botros N, Dinh, Nam T., Youngblood, Robert W., Bolotnov, Igor A.

مصطلحات موضوعية: Physics - Fluid Dynamics

الوصول الحر: http://arxiv.org/abs/1710.09105Test

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10

دورية أكاديمية

Machine learning from RANS and LES to inform coarse grid simulations

المؤلفون: Iskhakov, Arsen S., Dinh, Nam T., Leite, Victor Coppo, Merzari, Elia

المساهمون: U.S. Department of Energy

المصدر: Progress in Nuclear Energy ; volume 163, page 104809 ; ISSN 0149-1970

مصطلحات موضوعية: Waste Management and Disposal, Energy Engineering and Power Technology, Safety, Risk, Reliability and Quality, Nuclear Energy and Engineering

الإتاحة: https://doi.org/10.1016/j.pnucene.2023.104809Test
https://api.elsevier.com/content/article/PII:S0149197023002445?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0149197023002445?httpAccept=text/plainTest

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