Accelerated Design of Architected Materials with Multifidelity Bayesian Optimization-Reference-Cited by-同舟云学术

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Accelerated Design of Architected Materials with Multifidelity Bayesian Optimization

Published:2023-06 Issue:6 Volume:149 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Mo Chengyang¹^ORCID,Perdikaris Paris²,Raney Jordan R.³^ORCID

Affiliation:

1. Dept. of Mechanical Engineering and Applied Mechanics, Univ. of Pennsylvania, Philadelphia, PA 19104. ORCID: .

2. Professor, Dept. of Mechanical Engineering and Applied Mechanics, Univ. of Pennsylvania, Philadelphia, PA 19104.

3. Professor, Dept. of Mechanical Engineering and Applied Mechanics, Univ. of Pennsylvania, Philadelphia, PA 19104 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://ascelibrary.org/doi/pdf/10.1061/JENMDT.EMENG-7033

Reference47 articles.

1. Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning

2. Stiffness design of geometrically nonlinear structures using topology optimization

3. A mobile robotic chemist

4. Learning properties of ordered and disordered materials from multi-fidelity data

5. On the strength of brittle foams with uniform and gradient densities

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