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Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design

Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design

11 July 2022
Hengrui Zhang
WeiWayneChen
Akshay Iyer
D. Apley
Wei-Neng Chen
    AI4CE
ArXivPDFHTML

Papers citing "Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design"

6 / 6 papers shown
Title
Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme
  Energy Dissipation
Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation
Maxine Perroni-Scharf
Zachary Ferguson
Thomas Butrille
Carlos Portela
Mina Konaković Luković
14
0
0
29 May 2024
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
Doksoo Lee
Wei-Neng Chen
Liwei Wang
Yu-Chin Chan
Wei Chen
AI4CE
11
78
0
01 Jul 2023
Towards Reliable Uncertainty Quantification via Deep Ensembles in
  Multi-output Regression Task
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task
Sunwoong Yang
K. Yee
UQCV
32
5
0
28 Mar 2023
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative
  Representations of Building Blocks
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks
Yigitcan Comlek
T. D. Pham
R. Snurr
Wei-Neng Chen
AI4CE
20
18
0
17 Feb 2023
Gryffin: An algorithm for Bayesian optimization of categorical variables
  informed by expert knowledge
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge
Florian Hase
Matteo Aldeghi
Riley J. Hickman
L. Roch
Alán Aspuru-Guzik
43
103
0
26 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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