12 citations · 16 across the 12 of their papers we have counts for
14 papers
The coupled spread of information and potential-driven motion in evacuating agent populations
Benjamin A. Jasperson, Logan Dehay, Rahul Gulati +2
Whether a population evacuates safely depends on two coupled processes: how a warning spreads through it, and how that information moves people. We model this coupling with an agen…
Beyond Compression: Training Latent Representations for Stable Long-Horizon Rollout in Neural Surrogate Solvers
Andreas E. Robertson, Ashley T. Lenau, John D. Shimanek +5
Latent neural surrogate solvers, or latent dynamics models, accelerate simulations of time-dependent physical systems by evolving a compressed latent space rather than resolving fu…
Resource Analysis for Quantum Simulation of Spatially Varying Transport-Reaction Equations
Benjamin Jasperson, Krishna Garikipati, Siddhartha Srivastava
Spatially varying coefficients are the primary source of circuit complexity in quantum simulation of linear advection-diffusion-reaction equations. This work presents a resource an…
Learning Population-Level Dynamics through a Latent Fokker--Planck Model and Discrepancy Transport Maps
Chengyang Huang, Krishna Garikipati
Many scientific and engineering systems are observed as time-indexed probability distributions whose governing dynamics are unknown and whose individual trajectories are unavailabl…
Bayesian Variational System Identification with Weak-Form Residual Likelihoods
Chengyang Huang, Siddhartha Srivastava, Krishna Garikipati +1
We consider system identification for discovering parameterized operators in governing partial differential equations (PDEs) from noisy spatiotemporal data. Building on variational…
CMAG: Concept-Scaffolded Retrieval for Marketplace Avatar Generation
Rajeev Goel, Jason Ding, Phani Harish Wajjala +3
Metaverse platforms rely on creator-driven marketplaces where avatars are assembled from discrete, taxonomy-labeled 3D assets (e.g., tops, bottoms, shoes, accessories) under strict…
Constitutive parameter inference using physics-based data-driven modeling in full volume datasets of intact and torn rotator cuff tendons
Carla Nathaly Villacís Núñez, Siddhartha Srivastava, Ulrich Scheven +3
In this work, we characterized the material properties of an animal model of the rotator cuff tendon using full volume datasets of both its intact and injured states by capturing i…
Inference of phase field fracture models
Elizabeth Livingston, Siddhartha Srivastava, Jamie Holber +2
The phase field approach to modeling fracture uses a diffuse damage field to represent a crack. This addresses the singularities that arise at the crack tip in computations with sh…
SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges
Ce Ju, Reinmar Kobler, Antoine Collas +3
Neuroimaging provides essential tools for characterizing brain activity, structure, and connectivity through modalities that capture complementary aspects of brain organization. Ac…
A continuum, computational study of morphogenesis in lithium intermetallic interfaces
Mostafa Faghih Shojaei, Rahul Gulati, Krishna Garikipati
The design of solid state batteries with lithium anodes is attracting attention for the prospect of high capacity and improved safety over liquid electrolyte systems. The nature of…
Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment
Haizhou Yang, C. Alberto Figueroa, Krishna Garikipati
Coronary Artery Disease (CAD) is one of the most common forms of heart disease, which is caused by a buildup of atherosclerotic plaque (known as stenosis) in the coronary arteries,…
Pattern formation in dense populations studied by inference of nonlinear diffusion-reaction mechanisms
Siddhartha Srivastava, Krishna Garikipati
Reaction-diffusion systems have been proposed as a model for pattern formation and morphogenesis. The Fickian diffusion typically employed in these constructions model the Brownian…
Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2
G. H. Teichert, S. Das, M. Faghih Shojaei +5
LixTMO2 (TM=Ni, Co, Mn) forms an important family of cathode materials for Li-ion batteries, whose performance is strongly governed by Li composition-dependent crystal structure an…
Numerical analysis of non-local calculus on finite weighted graphs, with application to reduced-order modelling of dynamical systems
Matthew Duschenes, Siddhartha Srivastava, Krishna Garikipati
We present an approach to reduced-order modelling that builds off recent graph-theoretic work for representation, exploration, and analysis of computed states of physical systems (…