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Robert Kirby

University of Utah

United States

Research Interests

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Articles (19)

Collaborators (4)

Jacob Hochhalter

University of Utah

UNITED STATES

Martin Berzins

University of Utah

UNITED STATES

Edmond Kwan

Senior Research Fellow

MONASH UNIVERSITY

Harry Millwater

University of Texas at San Antonio

UNITED STATES

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Robert Kirby

Research Interests

Make your next move.

Explore related searches

Articles (19)

Collaborators (4)

Jacob Hochhalter

Martin Berzins

Edmond Kwan

Harry Millwater

Make your next move.

Robert Kirby

Research Interests

Make your next move.

Explore related searches

Articles (19)

A Discontinuous Galerkin method enhanced via compact Smoothness-Increasing-Accuracy-Conserving (SIAC) reconstruction

A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications

Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation

Using residual analysis to characterize and control the impact of noisy data on stress intensity factor models from machine learning

Efficiently training SciML models with derivative-informed training data using order truncated imaginary numbers

Developing robust stress intensity factor models using Fourier-based data analysis to guide machine learning method selection and training

Stress intensity factor models using mechanics-guided decomposition and symbolic regression

Inherently interpretable machine learning solutions to differential equations

Algorithm 1041: HiPPIS—A High-order Positivity-preserving Mapping Software for Structured Meshes

Kolmogorov n-widths for multitask physics-informed machine learning (PIML) methods: Towards robust metrics

Non-uniform knot (NUK) SIAC post-processing of flow fields produced through unstructured grid adaptation and optimization

Deep neural operators as accurate surrogates for shape optimization

ENO-based high-order data-bounded and constrained positivity-preserving interpolation

A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions

Convex optimization-based structure-preserving filter for multidimensional finite element simulations

Risk-Free Interest Rates in Decentralized Finance

Multi-Omic Integration of Blood-Based Tumor-Associated Genomic and Lipidomic Profiles Using Machine Learning Models in Metastatic Prostate Cancer

A metalearning approach for Physics-Informed Neural Networks (PINNs): Application to parameterized PDEs

Computer Science Abstractions to Help Reason About Decentralized Stablecoin Design

Collaborators (4)

Jacob Hochhalter

Martin Berzins

Edmond Kwan

Harry Millwater

Make your next move.