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Kyle Pietrzyk
Kyle Pietrzyk
Energy Resources Engineering PhD Student, Stanford University
Bestätigte E-Mail-Adresse bei stanford.edu
Titel
Zitiert von
Zitiert von
Jahr
Power generation modeling for a wearable thermoelectric energy harvester with practical limitations
K Pietrzyk, J Soares, B Ohara, H Lee
Applied energy 183, 218-228, 2016
612016
Thermoelectric module design strategy for solid-state refrigeration
K Pietrzyk, B Ohara, T Watson, M Gee, D Avalos, H Lee
Energy 114, 823-832, 2016
262016
Flow around a squirmer in a shear-thinning fluid
K Pietrzyk, H Nganguia, C Datt, L Zhu, GJ Elfring, OS Pak
Journal of Non-Newtonian Fluid Mechanics 268, 101-110, 2019
252019
Swimming efficiency in a shear-thinning fluid
H Nganguia, K Pietrzyk, OS Pak
Physical Review E 96 (6), 062606, 2017
202017
Propulsion via flexible flapping in granular media
Z Peng, Y Ding, K Pietrzyk, GJ Elfring, OS Pak
Physical Review E 96 (1), 012907, 2017
92017
Upscaling and Automation: Pushing the Boundaries of Multiscale Modeling through Symbolic Computing: An Introduction to Symbolica
K Pietrzyk, S Korneev, M Behandish, I Battiato
Transport in Porous Media 140 (1), 313-349, 2021
82021
On analysis and stochastic modeling of the particle kinetic energy equation in particle-laden isotropic turbulent flows
K Pietrzyk, JAK Horwitz, FM Najjar, RW Minich
Physics of Fluids 34 (1), 2022
32022
Automated symbolic upscaling: 1. Model generation for extended applicability regimes
K Pietrzyk, I Battiato
Water Resources Research 59 (7), e2022WR033600, 2023
22023
Quantification of a latex agglutination assay for bacterial pathogen detection in a low-cost capillary-driven fluidic platform
OS Pak, K Pietrzyk, A Ly, A Maldonado-Liu, S Fukuoka, U Kim
2016 IEEE Global Humanitarian Technology Conference (GHTC), 765-769, 2016
22016
Automated upscaling via symbolic computing for thermal runaway analysis in Li-ion battery modules
K Pietrzyk, G Bucci, M Behandish, I Battiato
Journal of Computational Science 74, 102134, 2023
12023
Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning
S Taverniers, S Korneev, KM Pietrzyk, M Behandish
arXiv preprint arXiv:2202.03665, 2022
12022
Thermal Runaway in Battery Cells: Guiding Principles for Continuum Scale Modeling
Z Ping, K Pietrzyk, I Battiato
245th ECS Meeting (May 26-30, 2024), 2024
2024
Upscaling and Automation: New Opportunities for Multiscale Systems Modeling
I Battiato, K Pietrzyk
AGU23, 2023
2023
Automated Upscaling from Stokes Equation to Darcy’s Law: New Capabilities in Symbolica
B van Gogh, K Pietrzyk, I Battiato
AGU23, 2023
2023
The Method of Finite Averages: A Rigorous Upscaling Technique for Heterogeneous Porous Media
K Pietrzyk
AGU23, 2023
2023
A Symbolic-Numerical Multiscale Framework for Reactive Transport in Subsurface Systems
K Qin, K Pietrzyk, I Battiato
AGU23, 2023
2023
Upscaling of Multiphysical Transport in Porous Media: Advancements in Analytical, Numerical, Data-Driven, and Symbolic Computational Methods for Scale Translation I Oral
I Battiato, Z Wang, K Pietrzyk, S Yu
AGU23, 2023
2023
Upscaling and Automation: Symbolic Computational Methods for Multiscale Model Discovery
KM Pietrzyk
Stanford University, 2023
2023
Automated Symbolic Upscaling of Hydrogen Sulfide Production in Subsurface Hydrogen Storage
B Kongtaveelert, K Pietrzyk, I Battiato
Fall Meeting 2022, 2022
2022
Investigation of Reaction Networks in Geological CO2 Sequestration through Automated Symbolic Upscaling
M Ard, K Pietrzyk, I Battiato
AGU Fall Meeting Abstracts 2022, H51H-04, 2022
2022
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