2022 Fellows' Poster Session & Abstracts

First-, second- and third-year students present their research during the annual Fellows' Poster Session.

Tuesday, July 19 — 5:00-6:00 p.m.

Wednesday, July 20 — 4:00-6:00 p.m.

Salons FGHJK

The annual Fellows’ Poster Session afforded attendees a unique opportunity to gain exposure to the breadth of research supported by the DOE CSGF program. Each fellow was provided space to present their latest findings. This year's poster session will be split between two days, with groupings as follows:

2019 Class (current third-year fellows) – Tuesday, July 19 at 5 p.m.
2020 Class (current second-year fellows) – Wednesday, July 20 at 4 p.m.
2021 Class (current first-year fellows) – Wednesday, July 20 at 5 p.m.

First-, second- and third-year fellows: Please review and familiarize yourself with the Guidelines for Poster Presentation document which outlines session logistics, poster size limitations and helpful tips for presenting your work.

Poster Presentation Schedule

2019 Fellows — Presenting Tuesday, July 19 from 5:00-6:00 p.m.
Group I - Presenting 5:00-5:30 p.m.
1	Christopher Balzer	Explicit Polarization in Coarse-Grained Simulations of Ionomer Melts
3	Kyle Bushick	Gaining an Atomistic Understanding of Auger-Meitner Recombination in Silicon
5	Madelyn Cain	Quantum Optimization of Maximum Independent Set Using Rydberg Atom Arrays
7	Scott Emmons	Sparse Graphical Memory for Robust Planning
9	Koby Hayashi	Clustering Hypergraphs With Edge-Dependent Vertex Weights
11	Christopher Kane	Overcoming Exponential Volume Scaling in Trotter-Suzuki Implementations of 2+1 U(1) Lattice Gauge Theories
13	Peter Lalor	Capabilities and Limitations of Dual Energy X-ray Scanners for Cargo Content Atomic Number Discrimination
15	Jack Lindsey	Action-Modulated Midbrain Dopamine Activity Enables Off-Policy Reinforcement Learning
17	Jamin Rader	Intelligently Identifying Patterns of Predictability in the Oceans and Atmosphere Using Interpretable Neural Networks
19	Michael Toriyama	Band Inversion-Driven High Valley Degeneracy
21	Boyan Xu	Tandem Repeat Evolution of the Leucine-Rich Repeat Domain in Plant Innate Immune Receptors
23	Lauren Zundel	Excitation of Periodic Arrays of Nanoparticles by Localized Dipole Sources
Group II - Presenting 5:30-6:00 p.m.
2	Thomas Blommel	Time Integration Methods for Quantum Systems Out of Equilibrium
4	Lindsey Byrne	What Regulates the Growth of Supermassive Black Holes?
6	Gabriel Casabona	Turbulently-Driven Detonation Initiation in Electron-Degenerate Matter With Helium
8	Nicholas Ezzell	The Quantum Low-Rank Approximation Problem
10	Louis Jenkins	Interactivity in High Performance Computing
12	Arianna Krinos	Revising Estimates of Protistan Diversity in the Environment Using an Unsupervised Topic Modeling Approach
14	Kyle Lennon	Learning Physically-Informed Differential Viscoelastic Constitutive Equations From Data
16	Guy Moore	High Performance Computational Multi-Scale Framework for the Discovery of Promising Magnetocaloric Materials
18	Jason Torchinsky	Multi-Model Communication and Data Assimilation for Improving Model Dynamics
20	Amalee Wilson	When Making the Problem Smaller Can Also Make it Harder: Partitioning for Parallel Satisfiability Modulo Theories
22	Claire Zarakas	Disentangling the Relative Impacts of Temperature and Vapor Pressure Deficit on Tropical Forest Photosynthesis
2020 Fellows — Presenting Wednesday, July 20 from 4:00-5:00 p.m.
Group I - Presenting 4:00-4:30 p.m.
1	Alexandra Baumgart	Simulating Detonations With a Physics-Based Shock Treatment, Tabulated Chemistry
3	Emily de Jong	Diverse, Dynamic Droplets: A Novel Numerical Method for Cloud Droplet Distributions
5	Ian DesJardin	Nonlinear Spectral Analysis of Ion-Acoustic Solitons Arising From a Streaming Charged Object Using the Numerical Inverse Scattering Transform
7	Ethan Epperly	Jackknife Variability Estimation for Randomized Matrix Computations
9	Grant Johnson	Particle Acceleration in Magnetic Reconnection With Ad Hoc Pitch-Angle Scattering
11	Nikita Kozak	Building a-priori confidence strategies for data-driven RANS uncertainty quantification
13	Nishad Maskara	Enhancing Topological Order Parameters via Error Correction and Renormalization
15	Albert Musaelian	Allegro: Scaling Equivariant Machine-Learning Interatomic Potentials
17	Danilo Perez Jr	Machine Learning-Driven Multiscale Modelling of Genomic Evolution of SARS-CoV-2
19	Luis Rangel DaCosta	Robust Data Generation for Machine Learning in High-Resolution Transmission Electron Microscopy of Nanoscale Materials
21	David Rogers	Using Particle Tracking to Link Floodplain Hydrological Processes to Biogeochemical Function
23	Ellis Torrance	Utilizing HPC to Estimate How Often Bacterial Species Participate in Genetic Exchange
25	Santiago Vargas	An Artificial Intelligence Framework for Optimal Drug Design
Group II - Presenting 4:30-5:00 p.m.
2	Marc Davis	Quantum Gate-Set Exploration Using High Quality Numerical Synthesis
4	Anthony Degleris	Dynamic Locational Marginal Emissions via Implicit Differentiation
6	Kiran Eiden	Induced Compton Scattering of Radio Pulses From Ultra-Magnetic Neutron Stars
8	Margot Fitz Axen	The Progenitors of Superluminous Type 1a Supernovae
10	Ariel Kellison	A Verification Toolchain for the Round-Off Error Analysis of Multiprecision Floating-Point Programs
12	Mary LaPorte	Predicting Carotenoid Breeding Values and Kernel Color in Maize
14	Kaishu Mason	Niche Differential Gene Expression Analysis in Spatial Transcriptomics Data Identifies Context-Dependent Cell-Cell Interactions
16	Graham Pash	Predictive Digital Twins for Optimizing Patient-Specific Therapies
18	Justin Porter	Physics-Based Friction Modeling for Bolted Structures
20	Rachel Robey	Virtual Profiling Lidar Error in Idealized WRF-LES
22	Benjamin Sepanski	Exploiting Data Structure Transformations for Performance and Scalability in High-Dimensional Structured Grid Computations
24	Margaret Trautner	Learning Markovian Homogenized Models in Viscoelasticity
2021 Fellows — Presenting Wednesday, July 20 from 5:00-6:00 p.m.
Group I - Presenting 5:00-5:30 p.m.
1	Jezrielle Annis	Inverse Infrared Spectroscopy With Bayesian Optimization
3	Lucas Attia	Core-Shell Hydrogel Particles for the Formulation of Hydrophobic Small-Molecule APIs
5	Zoe Barbeau	Assessment of Localized Artificial Diffusivity and Interface Sharpening for Modelling a Two-Phase Mixing Layer
7	Paul Beckman	Fast Algorithms for Elliptic PDEs With Gaussian Boundary Noise
9	Marianne Cowherd	Snow Controls on Post-Fire Stream and Vegetation
11	Krystian Ganko	Fast and Accurate Numerical Solution of a Cell Population Balance Model Using a Spectral Coefficient Method
13	Juan Gomez	Deep Learning With Differential Privacy and the Saddle Point Accountant
15	Bowen Jing	Molecular Conformer Generation With Torsional Diffusion Generative Models
17	Caleb Ju	Complexity of Dual Dynamic Programming for Solving Infinite Horizon Optimization Problems Under Uncertainty
19	Madeleine Kerr	Initiation, Interaction, and Suppression of Mantle Plumes on Venus-Analog Planet Using StagYY Numerical Model
21	Nicole Pagane	Intercellular Communication in the Adaptive Immune System: A Systems Approach
23	Abigail Poteshman	Automatic Characterization of Random Nuclear Spin Baths
25	Paulina Rodriguez	Comparing Open-Source and Commercial Software Solvers for Hagen-Poiseuille Flow
27	Courtney Shafer	Comparing the Shallow-Shelf and L1L2 Approximations Using BISICLES in the Context of MISMIP+ with Buttressing Effects
29	Samuel Varner	GPU Accelerated Ising Monte Carlo With C++ and Julia
31	Steven Wilson	Overcoming Challenges in Off-Stoichiometric Thermodynamics Modeling Through Complementary Use of Experimental and First Principles Data: A Case Study of Ba1-xSrxFeO3-δ
Group II - Presenting 5:30-6:00 p.m.
2	Olivia Asher	Understanding Arbuscular Mycorrhizal Fungi-Plant Interactions Using Dynamic Modeling and Genomics
4	Alexandra Ballow	Is Mode Connectivity Explainable by LOCC Equivalence
6	Bryn Barker	LES Modeling With IBAMR
8	Vivek Bharadwaj	Distributed-Memory Sparse Kernels for Machine Learning
10	Ishani Ganguly	Efficient Connectome Analyses for Identifying Influential Neurons in Behaviorally Relevant Pathways
12	Souradip Ghosh	RipTide: A Programmable, Energy-Minimal Dataflow Compiler and Architecture
14	Jalen Harris	Large-Scale Hybrid Density Functional Theory Based Ab Initio Molecular DynamicsSimulations of Ice Ih, II, and III Polymorphs Near the Triple Point
16	Gabrielle Jones	The Impact of Interfacial Curvature on the Packing of Shape Anisotropic Particles
18	Olorundamilola Kazeem	Conversational Emotion Recognition: Joint Speaker and Emotion Diarization in Conversations
20	Joy Kitson	Loimos: A Large-Scale Epidemic Simulation Framework for Realistic SocialContact Networks
22	Shehan Parmar	Multi-Physics and Data-Driven Modeling for Electrospray Propulsion
24	Sonia Reilly	Ensemble MCMC Samplers for Infinite-Dimensional Bayesian Inverse Problems
26	Rahul Sahay	Non-Equilibrium Quantum Liquids
28	Timothy Taylor	Modelling the East Troublesome Wildfire With WRF-Fire
30	Julia Wei	Parallel Matrix-Free Methods for Simulating Spin-1/2 Hamiltonians
32	Victor Zendejas Lopez	Direct Numerical Simulations of Periodic Turbulent Planar Mixing Layers