Constrained adaptive sampling for domain reduction in surrogate model generation: Applications to hydrogen production-Reference-Cited by-同舟云学术

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Constrained adaptive sampling for domain reduction in surrogate model generation: Applications to hydrogen production

Published:2021-07-06 Issue:11 Volume:67 Page:
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J

Author:

Straus Julian¹^ORCID,Ouassou Jabir Ali¹^ORCID,Knudsen Brage Rugstad¹^ORCID,Anantharaman Rahul¹^ORCID

Affiliation:

1. SINTEF Energy Research Trondheim Norway

Funder

Equinor ASA

Total Marketing Services

BEIS

Bundesministerium für Wirtschaft und Technologie

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17357

Reference35 articles.

1. Learning surrogate models for simulation-based optimization

2. Hybrid simulation-equation based synthesis of chemical processes

3. Advances in surrogate based modeling, feasibility analysis, and optimization: A review

4. Overview of Surrogate Modeling in Chemical Process Engineering

5. ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-driven optimization algorithms;Artificial Intelligence in Manufacturing;2024

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