ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.02837
  4. Cited By
Lossless Multi-Scale Constitutive Elastic Relations with Artificial
  Intelligence

Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence

5 August 2021
J. Mianroodi
Shahed Rezaei
N. Siboni
Bai-Xiang Xu
Dierk Raabe
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence"

7 / 7 papers shown
Title
On Theory-training Neural Networks to Infer the Solution of Highly
  Coupled Differential Equations
On Theory-training Neural Networks to Infer the Solution of Highly Coupled Differential Equations
M. T. Rad
A. Viardin
M. Apel
AI4CE
18
3
0
09 Feb 2021
Data-Driven Topology Optimization with Multiclass Microstructures using
  Latent Variable Gaussian Process
Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process
Liwei Wang
Siyu Tao
Ping Zhu
Wei Chen
AI4CE
38
60
0
27 Jun 2020
Learning to Simulate Complex Physics with Graph Networks
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
PINNAI4CE
143
1,101
0
21 Feb 2020
An Energy Approach to the Solution of Partial Differential Equations in
  Computational Mechanics via Machine Learning: Concepts, Implementation and
  Applications
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
E. Samaniego
C. Anitescu
S. Goswami
Vien Minh Nguyen-Thanh
Hongwei Guo
Khader M. Hamdia
Timon Rabczuk
X. Zhuang
PINNAI4CE
213
1,381
0
27 Aug 2019
Exploring the 3D architectures of deep material network in data-driven
  multiscale mechanics
Exploring the 3D architectures of deep material network in data-driven multiscale mechanics
Zeliang Liu
C. T. Wu
3DVAI4CE
28
146
0
02 Jan 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,341
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
1