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Rafael Báez
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Proceedings Papers

Learning and Engaging Through Transformative Informal Setting Driven by COVID Induced Leading Edge Virtual Technology for Advanced Fluid Mechanics Modeling and Simulations Seminar Series

Demy Rodriguez, Leslie Trevizo, Arturo Rodriguez, Julio Aguilar, Clinton Chijioke, Brandon Paez, Rafael Baez, V. M. Krushnarao Kotteda, Vinod Kumar
Proc. ASME. FEDSM2022, Volume 1: Fluid Applications and Systems (FASTC); Fluid Measurement and Instrumentation (FMITC); Fluid Mechanics (FMTC), V001T03A016, August 3–5, 2022
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2022-87409
https://doi.org/10.1115/FEDSM2022-87409
View Paper titled, Learning and Engaging Through Transformative Informal Setting Driven by COVID Induced Leading Edge Virtual Technology for Advanced Fluid Mechanics Modeling and Simulations Seminar Series
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Topics: Engineering simulation, Fluid mechanics, Modeling, Pandemics, Simulation
Proceedings Papers

Atmospheric Turbulence Intermittency Effects on Remote Sensing Laser Propagation

Arturo Rodriguez, V. S. Rao Gudimetla, Richard Adansi, Jose Terrazas, Vicente Corral, Christopher Harris, Vinod Kumar, Rafael Baez, Brandon Paez
Proc. ASME. FEDSM2022, Volume 1: Fluid Applications and Systems (FASTC); Fluid Measurement and Instrumentation (FMITC); Fluid Mechanics (FMTC), V001T03A008, August 3–5, 2022
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2022-86958
https://doi.org/10.1115/FEDSM2022-86958
View Paper titled, Atmospheric Turbulence Intermittency Effects on Remote Sensing Laser Propagation
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Topics: Lasers, Turbulence, Fluid dynamics, Refractive index, Approximation, Computer simulation, Statistical distributions, Tradeoffs
Proceedings Papers

Physics-Informed Long-Short Term Memory Neural Network Performance on Holloman High-Speed Test Track Sled Study

José Pérez, Rafael Baez, Jose Terrazas, Arturo Rodríguez, Daniel Villanueva, Olac Fuentes, Vinod Kumar, Brandon Paez, Abdiel Cruz
Proc. ASME. FEDSM2022, Volume 2: Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC), V002T05A014, August 3–5, 2022
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2022-86953
https://doi.org/10.1115/FEDSM2022-86953
View Paper titled, Physics-Informed Long-Short Term Memory Neural Network Performance on Holloman High-Speed Test Track Sled Study
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Topics: Artificial neural networks, Physics, Simulation, Braking, Fluid dynamics, Architecture, Computational fluid dynamics, Errors, Fluids, Geometry
Proceedings Papers

Field Predictions of Hypersonic Cones Using Physics-Informed Neural Networks

Daniel Villanueva, Brandon Paez, Arturo Rodriguez, Ashesh Chattopadhyay, V. M. Krushnarao Kotteda, Rafael Baez, Jose Perez, Jose Terrazas, Vinod Kumar
Proc. ASME. FEDSM2022, Volume 2: Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC), V002T05A015, August 3–5, 2022
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2022-86957
https://doi.org/10.1115/FEDSM2022-86957
View Paper titled, Field Predictions of Hypersonic Cones Using Physics-Informed Neural Networks
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Topics: Artificial neural networks, Physics, Compressible flow, Computational fluid dynamics, Differential equations, Dimensions, Flow (Dynamics), Fluid dynamics, Inverse problems, Mach number
Proceedings Papers

Mesh Adaptability Technique for Canonical Turbulent Jet Flows via Reinforcement Learning

Brandon Paez, Arturo Rodriguez, V. M. Krushnarao Kotteda, Ashesh Chattopadhyay, Jose Terrazas, Rafael Baez, Vinod Kumar
Proc. ASME. FEDSM2022, Volume 2: Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC), V002T05A021, August 3–5, 2022
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2022-87413
https://doi.org/10.1115/FEDSM2022-87413
View Paper titled, Mesh Adaptability Technique for Canonical Turbulent Jet Flows via Reinforcement Learning
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Topics: Flow (Dynamics), Reinforcement learning, Turbulence
Proceedings Papers

Is it Turbulent or Laminar? Convolutional Neural Network Predictions

Nicholas Dudu, Arturo Rodriguez, V. M. Krushnarao Kotteda, Jose Terrazas, Daniel Villanueva, Clinton Chijioke, Rafael Baez, Brandon Paez, Vinod Kumar
Proc. ASME. FEDSM2022, Volume 2: Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC), V002T05A020, August 3–5, 2022
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2022-87412
https://doi.org/10.1115/FEDSM2022-87412
View Paper titled, Is it Turbulent or Laminar? Convolutional Neural Network Predictions
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Topics: Artificial neural networks, Turbulence, Flow (Dynamics), Machine learning, Boundary layers, Cylinders, Laminar flow, Simulation, Trains
Journal Articles

Metallic Phase Change Material's Microstructural Stability Under Repetitive Melting/Solidification Cycles

Rafael Báez, Luis E. González, Manny X. de Jesús-López, Pedro O. Quintero, Lauren M. Boteler
Journal: Journal of Electronic Packaging
Publisher: ASME
Article Type: Research-Article
J. Electron. Packag. September 2020, 142(3): 031110.
Paper No: EP-20-1013
https://doi.org/10.1115/1.4047063
Published Online: May 13, 2020
View Article titled, Metallic Phase Change Material's Microstructural Stability Under Repetitive Melting/Solidification Cycles
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Topics: Cycles, Melting, Metals, Solidification, Temperature, Alloys, Stability
Proceedings Papers

Metallic PCM’s Microstructural Stability Under Repetitive Melting/Solidification Cycles

Rafael Báez, Luis E. González, Pedro O. Quintero, Lauren M. Boteler
Proc. ASME. InterPACK2019, ASME 2019 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems, V001T06A005, October 7–9, 2019
Publisher: American Society of Mechanical Engineers
Paper No: IPACK2019-6385
https://doi.org/10.1115/IPACK2019-6385
View Paper titled, Metallic PCM’s Microstructural Stability Under Repetitive Melting/Solidification Cycles
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Topics: Cooling, Cycles, Melting, Solidification, Stability, Thermal stability, Alloys, Metals, Temperature, Thermal management