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A Case Study of Deep Reinforcement Learning for Engineering Design: Application to Microfluidic Devices for Flow Sculpting

Journal of mechanical design (1990), 2019-11, Vol.141 (11)

2019

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Mechanical properties of Austenitic Stainless Steel 304L and 316L at elevated temperatures

Journal of materials research and technology, 2016-01, Vol.5 (1), p.13-20

2016

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On Consensus-Optimality Trade-offs in Collaborative Deep Learning

Frontiers in artificial intelligence, 2021-09, Vol.4, p.573731-573731

2021

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Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions

Plant phenomics, 2024-01, Vol.6, p.0235

2024

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Out-of-Distribution Detection Algorithms for Robust Insect Classification

Plant phenomics, 2024-01, Vol.6, p.0170-0170

2024

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Learning localized features in 3D CAD models for manufacturability analysis of drilled holes

Computer aided geometric design, 2018-05, Vol.62, p.263-275

2018

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An exponential strain dependent Rusinek–Klepaczko model for flow stress prediction in austenitic stainless steel 304 at elevated temperatures

Journal of materials research and technology, 2014-10, Vol.3 (4), p.370-377

2014

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Algorithmically-consistent deep learning frameworks for structural topology optimization

Engineering applications of artificial intelligence, 2021-11, Vol.106, p.104483, Article 104483

2021

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Dominating Set Model Aggregation for communication-efficient decentralized deep learning

Neural networks, 2024-03, Vol.171, p.25-39

2024

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Latent Diffusion Models for Structural Component Design

Computer aided design, 2024-06, Vol.171, p.103707, Article 103707

2024

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A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves

Scientific reports, 2019-12, Vol.9 (1), p.18560-12, Article 18560

2019

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THB-Diff: a GPU-accelerated differentiable programming framework for THB-splines

Engineering with computers, 2023-12

2023

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Deep learning-based 3D multigrid topology optimization of manufacturable designs

Engineering applications of artificial intelligence, 2023-11, Vol.126, p.107033, Article 107033

2023

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Direct immersogeometric fluid flow and heat transfer analysis of objects represented by point clouds

Computer methods in applied mechanics and engineering, 2023-02, Vol.404, p.115742, Article 115742

2023

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Comparative analysis of different machine vision algorithms for tool wear measurement during machining

Journal of intelligent manufacturing, 2024-07

2024

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NURBS-Diff: A Differentiable Programming Module for NURBS

Computer aided design, 2022-05, Vol.146, p.103199, Article 103199

2022

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A fast saddle-point dynamical system approach to robust deep learning

Neural networks, 2021-07, Vol.139, p.33-44

2021

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Photogrammetry-based computational fluid dynamics

Computer methods in applied mechanics and engineering, 2023-12, Vol.417, p.116311, Article 116311

2023

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NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs

Engineering with computers, 2024-04

2024

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Physics-aware machine learning surrogates for real-time manufacturing digital twin

Manufacturing letters, 2022-10, Vol.34, p.71-74

2022

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Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models

Computer aided geometric design, 2021-11, Vol.91, p.102038, Article 102038

2021

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Neural PDE Solvers for Irregular Domains

Computer aided design, 2024-07, Vol.172, p.103709, Article 103709

2024

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Optimisation of turning parameters by integrating genetic algorithm with support vector regression and artificial neural networks

International journal of advanced manufacturing technology, 2015-03, Vol.77 (1-4), p.331-339

2015

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3D reconstruction of plants using probabilistic voxel carving

Computers and electronics in agriculture, 2023-10, Vol.213, p.108248, Article 108248

2023

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Class‐specific data augmentation for plant stress classification

Plant phenome journal, 2024-12, Vol.7 (1)

2024

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A Case Study of Deep Reinforcement Learning for Engineering Design: Application to Microfluidic Devices for Flow Sculpting

Mechanical properties of Austenitic Stainless Steel 304L and 316L at elevated temperatures

On Consensus-Optimality Trade-offs in Collaborative Deep Learning

Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions

Out-of-Distribution Detection Algorithms for Robust Insect Classification

Learning localized features in 3D CAD models for manufacturability analysis of drilled holes

An exponential strain dependent Rusinek–Klepaczko model for flow stress prediction in austenitic stainless steel 304 at elevated temperatures

Algorithmically-consistent deep learning frameworks for structural topology optimization

Dominating Set Model Aggregation for communication-efficient decentralized deep learning

Latent Diffusion Models for Structural Component Design

A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves

THB-Diff: a GPU-accelerated differentiable programming framework for THB-splines

Deep learning-based 3D multigrid topology optimization of manufacturable designs

Direct immersogeometric fluid flow and heat transfer analysis of objects represented by point clouds

Comparative analysis of different machine vision algorithms for tool wear measurement during machining

NURBS-Diff: A Differentiable Programming Module for NURBS

A fast saddle-point dynamical system approach to robust deep learning

Photogrammetry-based computational fluid dynamics

NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs

Physics-aware machine learning surrogates for real-time manufacturing digital twin

Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models

Neural PDE Solvers for Irregular Domains

Optimisation of turning parameters by integrating genetic algorithm with support vector regression and artificial neural networks

3D reconstruction of plants using probabilistic voxel carving

Class‐specific data augmentation for plant stress classification

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