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Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic
  Chiral Metamaterials

Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials

19 April 2024
Lingxiao Yuan
Emma Lejeune
Harold S. Park
ArXivPDFHTML

Papers citing "Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials"

5 / 5 papers shown
Title
Investigating Deep Learning Model Calibration for Classification
  Problems in Mechanics
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
S. Mohammadzadeh
Peerasait Prachaseree
Emma Lejeune
AI4CE
39
2
0
01 Dec 2022
Bayesian Optimization in Materials Science: A Survey
Bayesian Optimization in Materials Science: A Survey
Lars Kotthoff
H. Wahab
Patrick Johnson
AI4CE
13
10
0
29 Jul 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
162
1,893
0
12 Nov 2020
Bayesian Optimization for Materials Design with Mixed Quantitative and
  Qualitative Variables
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
Yichi Zhang
D. Apley
Wei Chen
AI4CE
25
214
0
03 Oct 2019
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with
  Application to Active User Modeling and Hierarchical Reinforcement Learning
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
E. Brochu
Vlad M. Cora
Nando de Freitas
GP
102
2,437
0
12 Dec 2010
1