[Faculty] Fwd: [CSRC.COLLOQUIUM] "Non-Local Models for Modeling Multiphase Fluids "

[Jose Castillo]

*[image: SDSU_CSRC Logo.jpg]*


***** Registration is required in order to get the link to join the seminar
online. Please register at the below web page.*


DATE:
*Friday, May 7, 2021*


TITLE:
*Non-Local Models for Modeling Multiphase Fluids*

TIME:
*3:30-5:00PM*



LOCATION:
*Registration is required in advance.  Please register at the following
site to receive information on how to join the seminar online.   *Meeting
Registration - Zoom
<https://zoom.us/meeting/register/tJMpceqtqjsiGtBUtiTAjfSDcAaIsJ924G4s>


SPEAKER/BIO:
*Dr. Amanda Howard, Mathematician, Advanced computing, mathematics, and
data, Pacific Northwest National Laboratory *


ABSTRACT:

This talk will introduce non-local mathematical models for two phase
(fluid/fluid and fluid/solid) systems. We will discuss the mathematical
basis of non-local models, and their role in modeling non Newtonian fluids
where local models cannot capture all effects. First, we propose a
non-local model for surface tension obtained in the form of an integral of
a molecular-force-like function added to the Navier Stokes momentum
conservation equation for multiphase fluid flows. We demonstrate that our
model recovers both microscale and macroscale features of multiphase flow,
eliminating the need for expensive hybrid MD-NS models, and provides strong
advantages for modeling multiphase flows at length scales not feasible with
MD simulations. Next, we extend the physics-informed neural network (PINN)
method to learn a non-local viscosity model for a suspension of spherical
particles using only velocity measurements. The PINN-inferred viscosity
models agree with the empirical models for shear rates with large absolute
values but deviate for shear rates near zero where the analytical models
have an unphysical singularity.

Bio: Amanda Howard is a mathematician at Pacific Northwest National
Laboratory. Her research interests include numerical methods for multiphase
flows, including surface tension models and models for fluid/solid flows,
and physics-informed machine learning. She received her PhD in 2018 from
Brown University in Applied Mathematics, where she was an NSF Graduate
Research Fellow and received the Graduate Student Contribution to Community
Life Award for her contributions towards increasing diversity within the
mathematics community at Brown.


Host:
*Marta Miletic, Civil, Construction, and Environmental Engineering, San
Diego State University*


Note: Videos of previous colloquium talks can be seen on the CSRC website
in the colloquium archive section or on the CSRC YouTube page here
<https://www.youtube.com/channel/UCN0ZEztlmyDqG2pm-Rle_Eg/feed>.




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