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61
Polymer-Nanoparticle Materials for Prophylaxis: From Passive Immunity To Wildfire Prevention.
Polymer-Nanoparticle Materials for Prophylaxis: From Passive Immunity To Wildfire Prevention.
Yu, Anthony C. . | Stanford University. | 2020
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62
Substrate Stress Relaxation Regulates Cell Migration.
Substrate Stress Relaxation Regulates Cell Migration.
Adebowale, Omokolade Olayiwola. | Stanford University. | 2021
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63
Shear and Extensional Rheology of Particle-Laden Viscoelastic Suspensions.
Shear and Extensional Rheology of Particle-Laden Viscoelastic Suspensions.
Jain, Anika. | Stanford University. | 2021
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64
Evaluating the Impact of Mammalian Coronary Collateral Flow During Fetal and Adult Stages.
Evaluating the Impact of Mammalian Coronary Collateral Flow During Fetal and Adult Stages.
Anbazhakan, Suhaas. | Stanford University. | 2022
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65
Controls and Limitations of Dynamic Frictional Weakening by Thermal Pressurization in Localized Faults.
Controls and Limitations of Dynamic Frictional Weakening by Thermal Pressurization in Localized Faults.
Badt, Nir Zeev.Department of Earth, Environmental, | Brown University. | 2022
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66
Application of Macroscopic Forcing Method (MFM) for Revealing Turbulence Closure Model Requirements.
Application of Macroscopic Forcing Method (MFM) for Revealing Turbulence Closure Model Requirements.
Shirian, Yasaman. | Stanford University. | 2022
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67
Composite Materials for Hybrid Aerospace Gears.
Composite Materials for Hybrid Aerospace Gears.
Waller, Matthew David. | The Pennsylvania State University. | 2022
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68
Separators and Electrolytes for Next Generation Li-Ion Batteries.
Separators and Electrolytes for Next Generation Li-Ion Batteries.
Luiso, Salvatore. | North Carolina State University. | 2021
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69
Fundamental Study of PP-PE Polymer Blend Compatibility and Their Effects On Melt-Spinning Process and Fiber Properties.
Fundamental Study of PP-PE Polymer Blend Compatibility and Their Effects On Melt-Spinning Process and Fiber Properties.
Khan, Imon. | North Carolina State University. | 2021
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70
Data-Driven and Physics-Constrained Uncertainty Quantification for Turbulence Models.
Data-Driven and Physics-Constrained Uncertainty Quantification for Turbulence Models.
Heyse, Jan Felix. | Stanford University. | 2022
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