J. Tinsley Oden | DeepAI

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∙ 06/21/2023

Corrector Operator to Enhance Accuracy and Reliability of Neural Operator Surrogates of Nonlinear Variational Boundary-Value Problems

This work focuses on developing methods for approximating the solution o...

0 Prashant K. Jha, et al. ∙

∙ 06/08/2023

Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data and machine learning surrogate

Identifying parameters of computational models from experimental data, o...

0 Lianghao Cao, et al. ∙

∙ 03/16/2023

A phase-field model for non-small cell lung cancer under the effects of immunotherapy

Formulating tumor models that predict growth under therapy is vital for ...

0 Andreas Wagner, et al. ∙

∙ 10/06/2022

Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems

We explore using neural operators, or neural network representations of ...

11 Lianghao Cao, et al. ∙

∙ 08/02/2022

Optimal design of chemoepitaxial guideposts for directed self-assembly of block copolymer systems using an inexact-Newton algorithm

Directed self-assembly (DSA) of block-copolymers (BCPs) is one of the mo...

0 Dingcheng Luo, et al. ∙

∙ 06/24/2022

Mutual-Information Based Optimal Experimental Design for Hyperpolarized ^13C-Pyruvate MRI

A key parameter of interest recovered from hyperpolarized (HP) MRI measu...

0 Prashant K. Jha, et al. ∙

∙ 06/22/2022

Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport

We consider the Bayesian calibration of models describing the phenomenon...

6 Ricardo Baptista, et al. ∙

∙ 05/30/2022

Goal-Oriented A-Posteriori Estimation of Model Error as an Aid to Parameter Estimation

In this work, a Bayesian model calibration framework is presented that u...

0 Prashant K. Jha, et al. ∙

∙ 01/14/2022

A 1D-0D-3D coupled model for simulating blood flow and transport processes in breast tissue

In this work, we present mixed dimensional models for simulating blood f...

0 Marvin Fritz, et al. ∙

∙ 02/24/2021

Quantitative in vivo imaging to enable tumor forecasting and treatment optimization

Current clinical decision-making in oncology relies on averages of large...

0 Guillermo Lorenzo, et al. ∙

∙ 10/28/2020

A globally convergent modified Newton method for the direct minimization of the Ohta-Kawasaki energy with application to the directed self-assembly of diblock copolymers

We propose a fast and robust scheme for the direct minimization of the O...

0 Lianghao Cao, et al. ∙

∙ 07/04/2019

A statistical framework for generating microstructures of two-phase random materials: application to fatigue analysis

Random microstructures of heterogeneous materials play a crucial role in...

0 Ustim Khristenko, et al. ∙

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