Batch-to-Batch Optimization with Model Adaptation Leveraging Gaussian Processes: The Case of Optogenetically Assisted Microbial Consortia-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Batch-to-Batch Optimization with Model Adaptation Leveraging Gaussian Processes: The Case of Optogenetically Assisted Microbial Consortia

Published:2023-10-17 Issue: Volume: Page:
ISSN:
Container-title:2023 23rd International Conference on Control, Automation and Systems (ICCAS)
language:
Short-container-title:

Author:

Espinel-Ríos Sebastián¹,Kok Rudolph²,Klamt Steffen¹,Avalos José L.³,Findeisen Rolf⁴

Affiliation:

1. Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems,Magdeburg,Germany

2. Institute for Automation Engineering, Otto von Guericke University Magdeburg,Magdeburg,Germany

3. Princeton University,Department of Chemical and Biological Engineering,Princeton,United States

4. Control and Cyber-Physical Systems Laboratory,TU Darmstadt,Germany

Funder

SER

U.S. Department of Energy Office of Science

Office of Biological and Environmental Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10316683/10316739/10316811.pdf?arnumber=10316811

Reference16 articles.

1. Tools and strategies of systems metabolic engineering for the development of microbial cell factories for chemical production

2. Division of labor for substrate utilization in natural and synthetic microbial communities

3. Advanced metabolic engineering strategies for the development of sustainable microbial processes

4. Synthetic microbial consortia for small molecule production

5. Optogenetic Control of Microbial Consortia Populations for Chemical Production

Cited by 2 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. Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models;Process Biochemistry;2024-08

2. Hybrid Physics-Informed Metabolic Cybergenetics: Process Rates Augmented with Machine-Learning Surrogates Informed by Flux Balance Analysis;Industrial & Engineering Chemistry Research;2024-04-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3