Robust optimization in nanoparticle technology: A proof of principle by quantum dot growth in a residence time reactor-Reference-Cited by-同舟云学术

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Robust optimization in nanoparticle technology: A proof of principle by quantum dot growth in a residence time reactor

Published:2022-01 Issue: Volume:157 Page:107618
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Dienstbier Jana,Aigner Kevin-Martin,Rolfes Jan,Peukert Wolfgang,Segets Doris,Pflug Lukas,Liers Frauke

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference62 articles.

1. Aigner, K.-M., Clarner, J.-P., Liers, F., Martin, A., 2020. Robust approximation of chance constrained DC optimal power flow under decision-dependent uncertainty. https://www.opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/312.

2. Continuous synthesis of CuIns 2 quantum dots;Akdas;RSC Adv.,2017

3. Semiconductor clusters, nanocrystals, and quantum dots;Alivisatos;Science,1996

4. Decomposable robust two-stage optimization: an application to gas network operations under uncertainty;Aßmann;Networks,2019

5. Robust Optimization;Ben-Tal,2009

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