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Spiderweb nanomechanical resonators via Bayesian optimization: inspired
  by nature and guided by machine learning

Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning

10 August 2021
Dongil Shin
Andrea Cupertino
M. H. J. D. Jong
P. Steeneken
Miguel A. Bessa
R. Norte
ArXivPDFHTML

Papers citing "Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning"

3 / 3 papers shown
Title
Phononic materials with effectively scale-separated hierarchical
  features using interpretable machine learning
Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning
Mary V. Bastawrous
Zhi Chen
Alexander C. Ogren
Chiara Daraio
Cynthia Rudin
L. C. Brinson
23
1
0
15 Aug 2024
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
34
2
0
01 Dec 2022
Learning Mechanically Driven Emergent Behavior with Message Passing
  Neural Networks
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks
Peerasait Prachaseree
Emma Lejeune
PINN
AI4CE
33
11
0
03 Feb 2022
1