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NTopo: Mesh-free Topology Optimization using Implicit Neural
  Representations

NTopo: Mesh-free Topology Optimization using Implicit Neural Representations

22 February 2021
Jonas Zehnder
Yue Li
Stelian Coros
B. Thomaszewski
    AI4CE
ArXivPDFHTML

Papers citing "NTopo: Mesh-free Topology Optimization using Implicit Neural Representations"

12 / 12 papers shown
Title
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration
Yi-Tang Chen
Haoyu Li
Neng Shi
Xihaier Luo
Wei-ping Xu
Han-Wei Shen
39
0
0
01 Apr 2025
Multi-scale Topology Optimization using Neural Networks
Multi-scale Topology Optimization using Neural Networks
Hongrui Chen
Xingchen Liu
L. Kara
AI4CE
63
1
0
21 Feb 2025
Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains
Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains
Gilles Daviet
Tianchang Shen
Nicholas Sharp
David I. W. Levin
112
0
0
12 Oct 2024
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
A. Nobari
Giorgio Giannone
Lyle Regenwetter
Faez Ahmed
AI4CE
25
3
0
07 Feb 2024
Differentiable Visual Computing for Inverse Problems and Machine
  Learning
Differentiable Visual Computing for Inverse Problems and Machine Learning
Andrew Spielberg
Fangcheng Zhong
Konstantinos Rematas
Krishna Murthy Jatavallabhula
Cengiz Öztireli
Tzu-Mao Li
Derek Nowrouzezahrai
38
7
0
21 Nov 2023
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural
  Fields
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields
Yue Chang
Peter Yichen Chen
Zhecheng Wang
Maurizio M. Chiaramonte
Kevin Carlberg
E. Grinspun
AI4CE
18
7
0
24 Oct 2023
Topology Optimization using Neural Networks with Conditioning Field
  Initialization for Improved Efficiency
Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency
Hongrui Chen
Aditya Joglekar
L. Kara
AI4CE
19
7
0
17 May 2023
SELTO: Sample-Efficient Learned Topology Optimization
SELTO: Sample-Efficient Learned Topology Optimization
Sören Dittmer
David Erzmann
Henrik Harms
Peter Maass
22
2
0
12 Sep 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen-li Ma
Zixuan Liu
Xue Liu
81
35
0
24 Jul 2022
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
O. Hennigh
S. Narasimhan
M. A. Nabian
Akshay Subramaniam
Kaustubh Tangsali
M. Rietmann
J. Ferrandis
Wonmin Byeon
Z. Fang
S. Choudhry
PINN
AI4CE
91
126
0
14 Dec 2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks
  Based on Physical Fields Over the Initial Domain
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
Zhenguo Nie
Tong Lin
Haoliang Jiang
L. Kara
AI4CE
95
168
0
05 Mar 2020
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
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