Adarsh Krishnamurthy

Orcid: 0000-0002-5900-1863

According to our database1, Adarsh Krishnamurthy authored at least 55 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
A computational framework for transmission risk assessment of aerosolized particles in classrooms.
Eng. Comput., February, 2024

Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions.
CoRR, 2024

2023
3D reconstruction of plants using probabilistic voxel carving.
Comput. Electron. Agric., October, 2023

Latent Diffusion Models for Structural Component Design.
CoRR, 2023

Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension.
CoRR, 2023

Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes.
CoRR, 2023

ZeroForge: Feedforward Text-to-Shape Without 3D Supervision.
CoRR, 2023

Geometric Modeling and Physics Simulation Framework for Building a Digital Twin of Extrusion-based Additive Manufacturing.
CoRR, 2023

SpecXAI - Spectral interpretability of Deep Learning Models.
CoRR, 2023

2022
HyBoDT: Hybrid Bounded Distance Transforms of Trimmed NURBS Models.
J. Comput. Inf. Sci. Eng., 2022

3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images.
CoRR, 2022

Neural PDE Solvers for Irregular Domains.
CoRR, 2022

CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS).
CoRR, 2022

GPU-Accelerated Collision Analysis of Vehicles in a Point Cloud Environment.
IEEE Computer Graphics and Applications, 2022

NURBS-Diff: A Differentiable Programming Module for NURBS.
Comput. Aided Des., 2022

Concept Activation Vectors for Generating User-Defined 3D Shapes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Algorithmically-consistent deep learning frameworks for structural topology optimization.
Eng. Appl. Artif. Intell., 2021

NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs.
CoRR, 2021

NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications.
CoRR, 2021

Industrial scale Large Eddy Simulations with adaptive octree meshes using immersogeometric analysis.
Comput. Math. Appl., 2021

Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models.
Comput. Aided Geom. Des., 2021

Fiber Layup Generation on Curved Composite Structures.
Comput. Aided Des., 2021

Scalable adaptive PDE solvers in arbitrary domains.
Proceedings of the International Conference for High Performance Computing, 2021

Case study of SARS-CoV-2 transmission risk assessment in indoor environments using cloud computing resources.
Proceedings of the 2021 SC Workshops Supplementary Proceedings, 2021

Distributed multigrid neural solvers on megavoxel domains.
Proceedings of the International Conference for High Performance Computing, 2021

Differentiable Spline Approximations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Physics-consistent deep learning for structural topology optimization.
CoRR, 2020

Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis.
CoRR, 2020

NURBS-based microstructure design for organic photovoltaics.
Comput. Aided Des., 2020

2019
NURBS-Python: An open-source object-oriented NURBS modeling framework in Python.
SoftwareX, 2019

Edge topology construction of Voronoi diagrams of spheres in non-general position.
Comput. Graph., 2019

An integrated framework for solid modeling and structural analysis of layered composites with defects.
Comput. Aided Des., 2019

Multi-Level 3D CNN for Learning Multi-Scale Spatial Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Multi-Resolution 3D Convolutional Neural Networks for Object Recognition.
CoRR, 2018

GPU-accelerated generation and rendering of multi-level voxel representations of solid models.
Comput. Graph., 2018

Learning localized features in 3D CAD models for manufacturability analysis of drilled holes.
Comput. Aided Geom. Des., 2018

2017
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes.
CoRR, 2017

Rapid B-rep model preprocessing for immersogeometric analysis using analytic surfaces.
Comput. Aided Geom. Des., 2017

2016
A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework.
CoRR, 2016

Biomechanics simulations using cubic Hermite meshes with extraordinary nodes for isogeometric cardiac modeling.
Comput. Aided Geom. Des., 2016

Direct immersogeometric fluid flow analysis using B-rep CAD models.
Comput. Aided Geom. Des., 2016

2014
Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014

2013
A three-dimensional finite element model of human atrial anatomy: New methods for cubic Hermite meshes with extraordinary vertices.
Medical Image Anal., 2013

Patient-specific models of cardiac biomechanics.
J. Comput. Phys., 2013

2012
An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation.
Medical Image Anal., 2012

Computing the Hausdorff distance between NURBS surfaces using numerical iteration on the GPU.
Graph. Model., 2012

2011
GPU-Accelerated Minimum Distance and Clearance Queries.
IEEE Trans. Vis. Comput. Graph., 2011

GPU-accelerated Hausdorff distance computation between dynamic deformable NURBS surfaces.
Comput. Aided Des., 2011

Accurate GPU-accelerated surface integrals for moment computation.
Comput. Aided Des., 2011

2010
Parallel GPU Algorithms for Mechanical CAD.
PhD thesis, 2010

Accurate moment computation using the GPU.
Proceedings of the ACM Symposium on Solid and Physical Modeling, 2010

2009
Performing Efficient NURBS Modeling Operations on the GPU.
IEEE Trans. Vis. Comput. Graph., 2009

Optimized GPU evaluation of arbitrary degree NURBS curves and surfaces.
Comput. Aided Des., 2009

Accelerating geometric queries using the GPU.
Proceedings of the 2009 ACM Symposium on Solid and Physical Modeling, 2009

2007
Direct evaluation of NURBS curves and surfaces on the GPU.
Proceedings of the 2007 ACM Symposium on Solid and Physical Modeling, 2007


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