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Demand‐based optimization of a chlorobenzene process with high‐fidelity and surrogate reactor models under trust region strategies.

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Title: Demand‐based optimization of a chlorobenzene process with high‐fidelity and surrogate reactor models under trust region strategies.
Authors: Yoshio, Noriyuki1, Biegler, Lorenz T.1, biegler@cmu.edu
Source: AIChE Journal; Jan2021, Vol. 67 Issue 1, p1-13, 13p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Demand‐based optimization of a chlorobenzene process with high‐fidelity and surrogate reactor models under trust region strategies.
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        Value: 10.1002/aic.17054
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        Text: English
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        PageCount: 13
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      – TitleFull: Demand‐based optimization of a chlorobenzene process with high‐fidelity and surrogate reactor models under trust region strategies.
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            NameFull: Yoshio, Noriyuki
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            NameFull: Biegler, Lorenz T.
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              Text: Jan2021
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              Y: 2021
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