BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Victor Barranca (Swarthmore College)
DTSTART;VALUE=DATE-TIME:20221129T171500Z
DTEND;VALUE=DATE-TIME:20221129T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/1
DESCRIPTION:Title: Reconstruction of Neuronal Network Connectivity and Rival
rous Percepts Via Compressive Sensing of Network Dynamics\nby Victor B
arranca (Swarthmore College) as part of Northwestern Applied Mathematics S
eminar\n\nLecture held in M416 Tech Northwestern Evanston.\n\nAbstract\nNe
uronal network connectivity demonstrates sparsity on multiple spatial scal
es and natural stimuli also possess sparse representations in numerous dom
ains. In this talk\, we underline the role of sparsity in the efficient en
coding of network connectivity and inputs through nonlinear neuronal netwo
rk dynamics. Addressing the fundamental challenge of recovering the struct
ural connectivity of large-scale neuronal networks\, we leverage propertie
s of the balanced dynamical regime and compressive sensing theory to devel
op a theoretical framework for efficiently reconstructing sparse network c
onnections through measurements of the network response to a relatively sm
all ensemble of random stimuli. We further utilize sparse recovery ideas t
o probe the neural correlates of binocular rivalry through dynamic percept
reconstructions based on the activity of a two-layer network model with c
ompeting downstream pools driven by disparate image stimuli. The resultant
model dynamics agree with key experimental observations and give insights
into the excitation/inhibition hypothesis for autism.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/1/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Richard Braun (University of Delaware)
DTSTART;VALUE=DATE-TIME:20230131T171500Z
DTEND;VALUE=DATE-TIME:20230131T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/2
DESCRIPTION:Title: Semi-automated Tear Breakup Detection and Modeling on the
Ocular Surface\nby Richard Braun (University of Delaware) as part of
Northwestern Applied Mathematics Seminar\n\nLecture held in M416 Tech Nort
hwestern Evanston.\n\nAbstract\nThe tear film is a thin fluid multilayer l
eft on the eye surface after a blink. A good tear film is essential for h
ealth and proper function of the eye. Millions of people have a condition
called dry eye disease (DED) that is thought to be closely linked to the
tear film. DED inhibits vision and may lead to inflammation and ocular su
rface damage. However\, there is little quantitative data about tear film
failure\, often called tear break up (TBU). Currently\, it is not possibl
e to directly measure important variables such as tear osmolarity (saltine
ss) within areas of TBU. We present a mostly automatic method that we have
developed to extract data from video of the tear film dyed with fluoresce
in (for visualization). We have extracted data for 15 healthy subjects res
ulting in 467 instances of TBU. Using parameter identification from fits t
o appropriate math models\, we estimate which mechanisms are most importan
t in each instance and determine critical variables such as osmolarity wit
hin regions of TBU. Not only is new data obtained\, but far more data\, en
abling statistical methods to be applied. So far\, the methods provide bas
eline data for TBU in healthy subjects\; future work will produce data fro
m DED subjects.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/2/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Keaton Burns (Massachusettes Institute of Technology)
DTSTART;VALUE=DATE-TIME:20230207T171500Z
DTEND;VALUE=DATE-TIME:20230207T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/3
DESCRIPTION:Title: Solving Partial Differential Equations Exactly Over Polyn
omials\nby Keaton Burns (Massachusettes Institute of Technology) as pa
rt of Northwestern Applied Mathematics Seminar\n\nLecture held in M416 Tec
h Northwestern Evanston.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/3/
END:VEVENT
BEGIN:VEVENT
SUMMARY:David Bortz (University of Colorado Boulder)
DTSTART;VALUE=DATE-TIME:20230221T171500Z
DTEND;VALUE=DATE-TIME:20230221T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/5
DESCRIPTION:Title: The Surprising Robustness and Computational Efficiency of
Weak Form System Identification\nby David Bortz (University of Colora
do Boulder) as part of Northwestern Applied Mathematics Seminar\n\nLecture
held in M416 Tech Northwestern Evanston.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/5/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Daniel Wells (Santa Ana Bio\, Inc.)
DTSTART;VALUE=DATE-TIME:20230228T171500Z
DTEND;VALUE=DATE-TIME:20230228T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/7
DESCRIPTION:Title: Single Cell Spatial Transcriptomics to Accelerate Systems
Immunology\nby Daniel Wells (Santa Ana Bio\, Inc.) as part of Northwe
stern Applied Mathematics Seminar\n\nLecture held in M416 Tech Northwester
n Evanston.\n\nAbstract\nSingle cell transcriptomics has revolutionized im
munology and driven the emergence of systems-level approaches in immunolog
y. However\, existing technologies work only on dissociated cells and lose
valuable tissue context. Single cell spatial transcriptomics is an emergi
ng field which leverages large scale profiling of RNA and protein in situ
to measure the state of individual cells within intact tissues. Here we wi
ll provide an overview of single cell genomic approaches\, their uses\, an
d demonstrate ways single cell spatial transcriptomics can augment underst
anding of immunology. Particular focus will be paid to emerging analytic a
pproaches to extract differentiated signal from these data. FInally\, we w
ill provide an example of how these approaches can be applied in the setti
ng of autoimmunity.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/7/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Eva Kanso (University of Southern California)
DTSTART;VALUE=DATE-TIME:20230404T161500Z
DTEND;VALUE=DATE-TIME:20230404T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/8
DESCRIPTION:by Eva Kanso (University of Southern California) as part of No
rthwestern Applied Mathematics Seminar\n\nLecture held in M416 Tech Northw
estern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/8/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Simone Bianco (Altos Labs - Bay Area Institute of Science)
DTSTART;VALUE=DATE-TIME:20230411T161500Z
DTEND;VALUE=DATE-TIME:20230411T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/9
DESCRIPTION:by Simone Bianco (Altos Labs - Bay Area Institute of Science)
as part of Northwestern Applied Mathematics Seminar\n\nLecture held in M41
6 Tech Northwestern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/9/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Gwynn Elfring (University of British Columbia)
DTSTART;VALUE=DATE-TIME:20230418T161500Z
DTEND;VALUE=DATE-TIME:20230418T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/10
DESCRIPTION:Title: Active Matter in Inhomogeneous Environments\nby Gwyn
n Elfring (University of British Columbia) as part of Northwestern Applied
Mathematics Seminar\n\nLecture held in M416 Tech Northwestern Evanston IL
.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/10/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Osman Basaran (Purdue University)
DTSTART;VALUE=DATE-TIME:20230502T161500Z
DTEND;VALUE=DATE-TIME:20230502T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/11
DESCRIPTION:by Osman Basaran (Purdue University) as part of Northwestern A
pplied Mathematics Seminar\n\nLecture held in M416 Tech Northwestern Evans
ton IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/11/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Sung Ha Kang (Georgia Institute of Technology)
DTSTART;VALUE=DATE-TIME:20230509T161500Z
DTEND;VALUE=DATE-TIME:20230509T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/12
DESCRIPTION:Title: Identifying Differential Equations with Numerical Method
s: Time Evolution\, Subspace Pursuit and Weak Form\nby Sung Ha Kang (G
eorgia Institute of Technology) as part of Northwestern Applied Mathematic
s Seminar\n\nLecture held in M416 Tech Northwestern Evanston IL.\nAbstract
: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/12/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Tiffany Shaw (University of Chicago)
DTSTART;VALUE=DATE-TIME:20230516T161500Z
DTEND;VALUE=DATE-TIME:20230516T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/13
DESCRIPTION:Title: Fast jet stream winds get faster under climate change\nby Tiffany Shaw (University of Chicago) as part of Northwestern Applied
Mathematics Seminar\n\nLecture held in M416 Tech Northwestern Evanston IL
.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/13/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Linda Petzold (University of California\, Santa Barbara)
DTSTART;VALUE=DATE-TIME:20230522T210000Z
DTEND;VALUE=DATE-TIME:20230522T221500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/14
DESCRIPTION:Title: The Roles and Consequences of Randomness in Biological S
ystems\nby Linda Petzold (University of California\, Santa Barbara) as
part of Northwestern Applied Mathematics Seminar\n\nLecture held in M416
Tech Northwestern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/14/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Linda Petzold (University of California\, Santa Barbara)
DTSTART;VALUE=DATE-TIME:20230523T161500Z
DTEND;VALUE=DATE-TIME:20230523T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/15
DESCRIPTION:Title: Interpretable Polynomial Neural ODEs\nby Linda Petzo
ld (University of California\, Santa Barbara) as part of Northwestern Appl
ied Mathematics Seminar\n\nLecture held in M416 Tech Northwestern Evanston
IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/15/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Christine Heitsch (Georgia Institute of Technology)
DTSTART;VALUE=DATE-TIME:20231003T161500Z
DTEND;VALUE=DATE-TIME:20231003T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/17
DESCRIPTION:Title: How Can Discrete Mathematics Improve RNA Folding Predict
ions\nby Christine Heitsch (Georgia Institute of Technology) as part o
f Northwestern Applied Mathematics Seminar\n\nLecture held in M416 Tech No
rthwestern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/17/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Aleksandra Walczak (ENS\, Paris)
DTSTART;VALUE=DATE-TIME:20231010T161500Z
DTEND;VALUE=DATE-TIME:20231010T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/18
DESCRIPTION:Title: Mathematics of Life Series: Formation of Immune Repertoi
re\nby Aleksandra Walczak (ENS\, Paris) as part of Northwestern Applie
d Mathematics Seminar\n\nLecture held in M416 Tech Northwestern Evanston I
L.\n\nAbstract\nLink: https://northwestern.zoom.us/j/94392051105\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/18/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Sam Kriegman (Northwestern University)
DTSTART;VALUE=DATE-TIME:20231017T161500Z
DTEND;VALUE=DATE-TIME:20231017T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/19
DESCRIPTION:Title: Teaching Evolution Calculus: Efficient Automatic Design
of Robots\nby Sam Kriegman (Northwestern University) as part of Northw
estern Applied Mathematics Seminar\n\nLecture held in M416 Tech Northweste
rn Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/19/
END:VEVENT
BEGIN:VEVENT
SUMMARY:M. Graham (UW Madison)
DTSTART;VALUE=DATE-TIME:20231023T210000Z
DTEND;VALUE=DATE-TIME:20231023T220000Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/20
DESCRIPTION:Title: Data\, Dynamics\, and Manifolds: Machine Learning Approa
ches for Modeling and Controlling Complex Flows\nby M. Graham (UW Madi
son) as part of Northwestern Applied Mathematics Seminar\n\nLecture held i
n M416 Tech Northwestern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/20/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Sky Nicholson (Northwestern University)
DTSTART;VALUE=DATE-TIME:20231031T161500Z
DTEND;VALUE=DATE-TIME:20231031T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/21
DESCRIPTION:Title: How to Quantify Rare-Events From Microscopic Kinetics Us
ing Tensor Networks\nby Sky Nicholson (Northwestern University) as par
t of Northwestern Applied Mathematics Seminar\n\nLecture held in M416 Tech
Northwestern Evanston IL.\n\nAbstract\nMolecules can undergo reactions an
d diffusion through space\, creating the cornucopia of patterns we observe
in nature. Understanding how these patterns emerge is challenging to stud
y due to the immense separation of scales between the fast microscopic dyn
amics and the macroscopic pattern. A classic example of such a pattern is
bistability\, where a system will spontaneously switch between two macrosc
opic states of the system. Quantifying the rate of switching historically
has relied on waiting for exponentially rare events in the system to be ob
served. Ensembles of such events lead to estimates of kinetic rates. In th
is work we show how to calculate rare macroscopic rates from high-dimensio
nal reaction diffusion systems without resorting to sampling techniques. I
nstead\, we exploit and extract observables such as macroscopic rates by e
volving the ensemble of all possible trajectories. The foundation of this
work is based on using the Doi-Peliti formalism to encode the chemical mas
ter equation into a second-quantized form. This form allows chemical netwo
rks to be readily evolved using efficient tensor network methods. Our resu
lts are illustrated using an adapted version of the bistable Sch¨ogl mode
l with diffusion. We calculate rates over five-orders of magnitude for lar
ge systems (∼ 3 × 1015 microstates) and show strong agreement to kineti
c-Monto Carlo simulations and the more advanced forward flux sampling meth
od. Our Doi-Peliti tensor network procedure demonstrates sub-exponential s
caling in computational expense\, while bypassing complications due to sam
pling errors or needing intimate knowledge of the reaction network as is t
he case with more advanced sampling methods.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/21/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Thierry Mora (ENS\, Paris)
DTSTART;VALUE=DATE-TIME:20231107T171500Z
DTEND;VALUE=DATE-TIME:20231107T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/22
DESCRIPTION:Title: Mathematics of Life Series: Statistical Mechanics of Col
lective Behavior\nby Thierry Mora (ENS\, Paris) as part of Northwester
n Applied Mathematics Seminar\n\nLecture held in M416 Tech Northwestern Ev
anston IL.\n\nAbstract\nSome animal groups behave in a highly coordinated
way\, reminiscent of ordered phases in physics. However\, animals are also
heterogeneous\, have memory\, and operate out of equilibrium. I will pres
ent recent attempts at modeling the complex dynamics of social groups of m
ice interacting freely in a controlled environment. I will then assess how
far from equilibrium collective behaviour might be\, both in recordings o
f real bird flocks and in flocking models.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/22/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Milo Lin (UT Southwestern)
DTSTART;VALUE=DATE-TIME:20231128T171500Z
DTEND;VALUE=DATE-TIME:20231128T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/23
DESCRIPTION:Title: Mathematics of Life Seminar Series: Thermodynamic Limits
of Molecular Computation\nby Milo Lin (UT Southwestern) as part of No
rthwestern Applied Mathematics Seminar\n\nLecture held in M416 Tech Northw
estern Evanston IL.\n\nAbstract\nLiving systems update their status by alt
ering the probability distribution of stochastically rearranging molecules
in response to a change in the system parameters. These updates constitut
e molecular computational steps. Due to the presence of thermodynamic driv
ing forces\, typically in the form of chemical gradients\, these computati
ons convert a molecular system from one non-equilibrium steady state to an
other. Because such steady states are energetically costly to maintain\, t
he question arises as to why nature has evolved this computational scheme.
I will discuss a thermodynamic limit on computation. Namely\, for any mol
ecular system performing any computational step\, the maximum information
gained in the computation is shown to be a simple function of the thermody
namic force. Therefore\, the presence of thermodynamic forces\, and the ex
penditure of energy\, allows biomolecular systems to convert modest change
s in input into striking changes in output that would be surprising or imp
ossible at equilibrium.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/23/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Niall Mangan and Katelyn Leisman (Northwestern University)
DTSTART;VALUE=DATE-TIME:20231114T171500Z
DTEND;VALUE=DATE-TIME:20231114T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/24
DESCRIPTION:Title: Flushed with Insights: The Promising Potential of Poop-B
ased Testing for Public Health\nby Niall Mangan and Katelyn Leisman (N
orthwestern University) as part of Northwestern Applied Mathematics Semina
r\n\nLecture held in M416 Tech Northwestern Evanston IL.\n\nAbstract\nEsti
mating the prevalence of infectious disease in a community is useful for p
ublic health resource allocation\, policy making\, and messaging. When dis
eases such as COVID-19 become endemic in the community it is essential to
have passive indicators that do not depend on voluntary testing data. Our
team is working with public health departments to use wastewater to inform
our understanding of COVID-19 prevalence in communities throughout Illino
is. We have developed a generalized methodology to improve the predictive
power of wastewater from treatment plants in the Chicago area. Connecting
measured SARS-CoV-2 RNA to community prevalence is challenging\, due to ch
anges in the contributing population\, the variable rate of wastewater flo
w\, and the complexity of wastewater media\, which impacts RNA decay rates
and lab measurement accuracy. To quantify the impact of these factors we
also track other viruses including pepper mild mottle virus (PMMoV)\, a bi
omarker for the number of people contributing to the wastewater\, and bovi
ne coronavirus (BCoV)\, a lab process recovery control. We build and compa
re a set of multi-linear regression models\, which incorporate PMMoV\, BCo
V\, and flow rate into a corrected estimate for SARS-CoV-2 RNA concentrati
on. Laboratory methods evolved rapidly during the COVID-19 pandemic\, and
we show that correction terms differ depending on the laboratory procedure
s used in analyzing the samples. Nonetheless\, in all cases a statistical
correction model provides a significant improvement in terms of correlatio
n with hospitalizations and trend analysis over doing no correction.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/24/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Albane Thery (University of Pennsylvania)
DTSTART;VALUE=DATE-TIME:20240123T171500Z
DTEND;VALUE=DATE-TIME:20240123T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/26
DESCRIPTION:Title: Building Models For Swimmers in Complex and Confined Env
ironments\nby Albane Thery (University of Pennsylvania) as part of Nor
thwestern Applied Mathematics Seminar\n\nLecture held in M416 Tech Northwe
stern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/26/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Yue Yu (Lehigh University)
DTSTART;VALUE=DATE-TIME:20240206T171500Z
DTEND;VALUE=DATE-TIME:20240206T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/27
DESCRIPTION:Title: Nonlocal Operator is All You Need\nby Yue Yu (Lehigh
University) as part of Northwestern Applied Mathematics Seminar\n\nLectur
e held in M416 Tech Northwestern Evanston IL.\n\nAbstract\nDuring the last
20 years there has been a lot of progress in applying neural networks (NN
s) to many machine learning tasks. However\, their employment in scientifi
c machine learning with the purpose of learning physics of complex system
is less explored. Differs from the other machine learning tasks such as th
e computer vision and natural language processing problems where a large a
mount of unstructured data are available\, physics-based machine learning
tasks often feature scarce and structured measurements. \nIn this talk
\, we will take the learning of heterogeneous material responses as an exe
mplar problem\, to investigate the design of neural networks for physics-b
ased machine learning. In particular\, we propose to parameterize the mapp
ing between loading conditions and the corresponding system responses in t
he form of nonlocal neural operators\, and infer the neural network parame
ters from high-fidelity simulation or experimental measurements. As such\,
the model is built as mappings between infinite-dimensional function spac
es\, and the learnt network parameters are resolution-agnostic: no further
modification or tuning will be required for different resolutions in orde
r to achieve the same level of prediction accuracy. Moreover\, the nonloca
l operator architecture also allows the incorporation of intrinsic mathema
tical and physics knowledge\, which improves the learning efficacy and rob
ustness from scarce measurements. \nTo demonstrate the applicability o
f our nonlocal operator learning framework\, three typical scenarios in ph
ysics-based machine learning will be discussed: the learning of a material
-specific constitutive law\, the learning of an efficient PDE solution ope
rator\, and the development of a foundational constitutive law across mult
iple materials. As an application\, we learn material models directly from
digital image correlation (DIC) displacement tracking measurements on a p
orcine tricuspid valve leaflet tissue\, and show that the learnt model sub
stantially outperforms conventional constitutive models.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/27/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Geoff Vallis (Exeter)
DTSTART;VALUE=DATE-TIME:20240213T171500Z
DTEND;VALUE=DATE-TIME:20240213T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/28
DESCRIPTION:Title: Rainy-Bénard Convection: An Idealization of a Moist Atm
osphere\nby Geoff Vallis (Exeter) as part of Northwestern Applied Math
ematics Seminar\n\nLecture held in M416 Tech Northwestern Evanston IL.\n\n
Abstract\nRayleigh-Benard convection is commonly regarded as the benchmark
system for convection in a wide variety of settings\, and its simplicity
has led to a great many theoretical\, experimental and computational studi
es. However\, it is often regarded as irrelevant as a model for convection
in Earth’s atmosphere because of the significant\, almost dominating\,
influence of moisture in the latter system\, in addition to many other com
plications. In an attempt to partially bridge the evident gap between thes
e systems we add a condensate to the Rayleigh-Benard system but keep other
aspects the same. The resulting ‘Rainy-Benard’ system has very rich b
ehavior and in this talk I’ll describe some that behavior and other prop
erties of the system.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/28/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Sid Goyal (University of Toronto)
DTSTART;VALUE=DATE-TIME:20240220T171500Z
DTEND;VALUE=DATE-TIME:20240220T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/29
DESCRIPTION:Title: POSTPONED Mathematics of Life Seminar Series: Competitio
n Across Scales in Biology\nby Sid Goyal (University of Toronto) as pa
rt of Northwestern Applied Mathematics Seminar\n\nLecture held in M416 Tec
h Northwestern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/29/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Snezhana Abarzhi (U Western Adelaide (Australia))
DTSTART;VALUE=DATE-TIME:20240227T171500Z
DTEND;VALUE=DATE-TIME:20240227T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/30
DESCRIPTION:Title: Interface Dynamics in Ideal and Realistic Fluids\nby
Snezhana Abarzhi (U Western Adelaide (Australia)) as part of Northwestern
Applied Mathematics Seminar\n\nLecture held in M416 Tech Northwestern Eva
nston IL.\n\nAbstract\nInterface and mixing and their non-equilibrium kine
tics and dynamics couple micro to macro scales\, and are ubiquitous to occ
ur in fluids\, plasmas and materials. Stellar evolution\, plasma fusion\,
reactive fluids\, microfluidics\, purification of water\, and nanofabricat
ion are a few examples of many processes to which dynamics of interfaces i
s directly relevant. This talk presents the rigorous theory of the stabili
ty of the interface – a phase boundary broadly defined. We directly link
the structure of macroscopic flow fields to microscopic interfacial trans
port\, quantify the contributions of macro and micro stabilization mechani
sms to interface stability\, and discover the fluid instabilities never pr
eviously discussed. In ideal and realistic fluids\, the interface stabilit
y is set primarily by the interplay of the macroscopic inertial mechanism
balancing the destabilizing acceleration\, whereas microscopic thermodynam
ics create vortical fields in the bulk. By linking micro to macro scales\,
the interface is the place where balances are achieved.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/30/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Peko Hosoi (Massachusetts Institute of Technology (MIT))
DTSTART;VALUE=DATE-TIME:20240326T161500Z
DTEND;VALUE=DATE-TIME:20240326T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/31
DESCRIPTION:Title: Filtration and Fluid Mechanics Inspired by the Manta Ray
- Reiss Lecture\nby Peko Hosoi (Massachusetts Institute of Technology
(MIT)) as part of Northwestern Applied Mathematics Seminar\n\nLecture hel
d in M416 Tech Northwestern Evanston IL.\n\nAbstract\nHVAC systems account
for about 20% of U.S. energy consumption of which at least 7% is consumed
by fans. Their energy efficiency strongly depends on their filters: reduc
ing resistance can result in significant energy savings. We explore novel
strategies for filtration inspired by the manta ray\, which has evolved a
system for filtering zooplankton that appears to be unlike any industrial
filtration mechanism. Instead of a sieve strategy\, the manta deploys micr
ostructures\, which are hypothesized to instigate eddies that push particl
es away from the filtration pores\, resisting clogging\, and enabling the
filtration of particles much smaller than the pore size. Using perturbatio
n theory and asymptotics we examine two toy problems that mimic various fe
atures of the filtration strategies employed by manta rays and find that e
xperimental data from wavy channels are consistent with our asymptotic pre
dictions.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/31/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Efi Efrati (Weizmann Institute of Science)
DTSTART;VALUE=DATE-TIME:20240416T161500Z
DTEND;VALUE=DATE-TIME:20240416T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/32
DESCRIPTION:Title: Mathematics of Life Seminar Series\nby Efi Efrati (W
eizmann Institute of Science) as part of Northwestern Applied Mathematics
Seminar\n\nLecture held in M416 Tech Northwestern Evanston IL.\nAbstract:
TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/32/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Ehud Yariv (Technion - Israel Institute of Technology)
DTSTART;VALUE=DATE-TIME:20240430T161500Z
DTEND;VALUE=DATE-TIME:20240430T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/33
DESCRIPTION:by Ehud Yariv (Technion - Israel Institute of Technology) as p
art of Northwestern Applied Mathematics Seminar\n\nLecture held in M416 Te
ch Northwestern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/33/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Pankaj Mehta (Boston University)
DTSTART;VALUE=DATE-TIME:20240507T161500Z
DTEND;VALUE=DATE-TIME:20240507T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/34
DESCRIPTION:Title: Mathematics of Life Seminar Series\nby Pankaj Mehta
(Boston University) as part of Northwestern Applied Mathematics Seminar\n\
nLecture held in M416 Tech Northwestern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/34/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Andrew Stuart (California Institute of Technology)
DTSTART;VALUE=DATE-TIME:20240521T161500Z
DTEND;VALUE=DATE-TIME:20240521T171500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/35
DESCRIPTION:by Andrew Stuart (California Institute of Technology) as part
of Northwestern Applied Mathematics Seminar\n\nLecture held in M416 Tech N
orthwestern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/35/
END:VEVENT
BEGIN:VEVENT
SUMMARY:James Fitzgerald (Northwestern University)
DTSTART;VALUE=DATE-TIME:20240305T171500Z
DTEND;VALUE=DATE-TIME:20240305T181500Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/36
DESCRIPTION:by James Fitzgerald (Northwestern University) as part of North
western Applied Mathematics Seminar\n\nLecture held in M416 Tech Northwest
ern Evanston IL.\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/36/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Peko Hosoi (Massachusetts Institute of Technology (MIT))
DTSTART;VALUE=DATE-TIME:20240327T210000Z
DTEND;VALUE=DATE-TIME:20240327T220000Z
DTSTAMP;VALUE=DATE-TIME:20240222T222408Z
UID:Modeling_and_Computation/37
DESCRIPTION:Title: A Few Short Stories about Probability and Sports - Reiss
Lecture\nby Peko Hosoi (Massachusetts Institute of Technology (MIT))
as part of Northwestern Applied Mathematics Seminar\n\nLecture held in M41
6 Tech Northwestern Evanston IL.\n\nAbstract\nIn most professional sports\
, every physical attribute of an athlete that can be measured is tracked a
nd recorded. There exists an abundance of (relatively) high quality data
— in football\, basketball\, baseball\, cricket\, etc. — which makes s
ports an ideal testing ground for new analyses and algorithms. In this tal
k I will describe a few studies that lie at the intersection of sports and
data. Topics may include: the origin of the increase in home runs in Majo
r League Baseball\; the public health impact of allowing fans in American
football stadiums during the pandemic\; the role of skill and chance in sp
orts and other activities\; measuring “court sense” i.e. an athlete’
s decision-making ability in basketball\; and the design of optimal runnin
g shoes.\n
LOCATION:https://researchseminars.org/talk/Modeling_and_Computation/37/
END:VEVENT
END:VCALENDAR