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09/20/2023
Latent Diffusion Models for Structural Component Design
Recent advances in generative modeling, namely Diffusion models, have re...
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09/04/2023
Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension
3D printing or additive manufacturing is a revolutionary technology that...
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07/04/2023
Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes
The accurate and efficient simulation of Partial Differential Equations ...
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07/03/2023
Space-time finite element analysis of the advection-diffusion equation using Galerkin/least-square stabilization
We present a full space-time numerical solution of the advection-diffusi...
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06/04/2023
Deep learning powered real-time identification of insects using citizen science data
Insect-pests significantly impact global agricultural productivity and q...
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05/30/2023
Generating Finite Element Codes combining Adaptive Octrees with Complex Geometries
We present a high-level domain-specific language (DSL) interface to driv...
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05/10/2023
Geometric Modeling and Physics Simulation Framework for Building a Digital Twin of Extrusion-based Additive Manufacturing
Accurate simulation of the printing process is essential for improving p...
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05/02/2023
Out-of-distribution detection algorithms for robust insect classification
Deep learning-based approaches have produced models with good insect cla...
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01/14/2023
Direct numerical simulation of electrokinetic transport phenomena: variational multi-scale stabilization and octree-based mesh refinement
Finite element modeling of charged species transport has enabled the ana...
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11/07/2022
Neural PDE Solvers for Irregular Domains
Neural network-based approaches for solving partial differential equatio...
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09/27/2022
CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS)
Polarized Resonant Soft X-ray scattering (P-RSoXS) has emerged as a powe...
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09/25/2022
Scalable adaptive algorithms for next-generation multiphase simulations
The accuracy of multiphysics simulations is strongly contingent up on th...
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03/29/2022
Stochastic Conservative Contextual Linear Bandits
Many physical systems have underlying safety considerations that require...
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11/17/2021
Case study of SARS-CoV-2 transmission risk assessment in indoor environments using cloud computing resources
Complex flow simulations are conventionally performed on HPC clusters. H...
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10/04/2021
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs
We consider a mesh-based approach for training a neural network to produ...
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10/04/2021
Differentiable Spline Approximations
The paradigm of differentiable programming has significantly enhanced th...
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08/08/2021
Scalable adaptive PDE solvers in arbitrary domains
Efficiently and accurately simulating partial differential equations (PD...
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07/11/2021
A projection-based, semi-implicit time-stepping approach for the Cahn-Hilliard Navier-Stokes equations on adaptive octree meshes
We present a projection-based framework for solving a thermodynamically-...
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04/29/2021
Distributed Multigrid Neural Solvers on Megavoxel Domains
We consider the distributed training of large-scale neural networks that...
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11/13/2020
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications
Reliable seed yield estimation is an indispensable step in plant breedin...
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10/17/2020
Modeling electrochemical systems with weakly imposed Dirichlet boundary conditions
Finite element modeling of charged species transport has enabled analysi...
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09/13/2020
A fully-coupled framework for solving Cahn-Hilliard Navier-Stokes equations: Second-order, energy-stable numerical methods on adaptive octree based meshes
We present a fully-coupled, implicit-in-time framework for solving a the...
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08/28/2020
Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis
We present a variant of the immersed boundary method integrated with oct...
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07/24/2020
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models
Recent progress in scientific machine learning (SciML) has opened up the...
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06/24/2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Accurate prediction of crop yield supported by scientific and domain-rel...
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06/07/2020
How useful is Active Learning for Image-based Plant Phenotyping?
Deep learning models have been successfully deployed for a diverse array...
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12/28/2019
Simulating two-phase flows with thermodynamically consistent energy stable Cahn-Hilliard Navier-Stokes equations on parallel adaptive octree based meshes
We report on simulations of two-phase flows with deforming interfaces at...
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06/04/2019
Encoding Invariances in Deep Generative Models
Reliable training of generative adversarial networks (GANs) typically re...
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11/29/2018
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning
Microfluidic devices are utilized to control and direct flow behavior in...
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11/21/2018
Physics-aware Deep Generative Models for Creating Synthetic Microstructures
A key problem in computational material science deals with understanding...
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09/12/2018
PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization
PARyOpt is a python based implementation of the Bayesian optimization ro...
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05/30/2018
Predicting County Level Corn Yields Using Deep Long Short Term Memory Models
Corn yield prediction is beneficial as it provides valuable information ...
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04/24/2018
Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps
Our overarching goal is to develop an accurate and explainable model for...
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10/24/2017
Interpretable Deep Learning applied to Plant Stress Phenotyping
Availability of an explainable deep learning model that can be applied t...
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10/12/2017
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean
Charcoal rot is a fungal disease that thrives in warm dry conditions and...
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08/17/2016
A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge
Crop yield forecasting is the methodology of predicting crop yields prio...
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05/17/2016