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Learning to simulate and design for structural engineering

Learning to simulate and design for structural engineering

20 March 2020
Kai-Hung Chang
Chin-Yi Cheng
    AI4CE
ArXivPDFHTML

Papers citing "Learning to simulate and design for structural engineering"

4 / 4 papers shown
Title
Graph Neural Networks-based Hybrid Framework For Predicting Particle
  Crushing Strength
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength
Tongya Zheng
Tianli Zhang
Qingzheng Guan
Wenjie Huang
Zunlei Feng
Min-Gyoo Song
Chun-Yen Chen
AI4CE
15
1
0
26 Jul 2023
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed
  Boundary Conditions
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie
Naoto Mitsume
PINN
AI4CE
19
23
0
24 May 2022
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
186
884
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
219
1,332
0
12 Feb 2018
1