Optimization of Formulations Using Robotic Experiments Driven by Machine Learning DoE-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Optimization of Formulations Using Robotic Experiments Driven by Machine Learning DoE

Published:2021-01 Issue:1 Volume:2 Page:100295
ISSN:2666-3864
Container-title:Cell Reports Physical Science
language:en
Short-container-title:Cell Reports Physical Science

Author:

Cao Liwei,Russo Danilo,Felton Kobi,Salley Daniel,Sharma Abhishek,Keenan Graham,Mauer Werner,Gao Huanhuan,Cronin Leroy,Lapkin Alexei A.

Funder

BASF

UKRI

National Research Foundation

Campus for Research Excellence and Technological Enterprise

Cambridge Centre for Advanced Research and Education in Singapore

Publisher

Elsevier BV

Subject

General Physics and Astronomy,General Energy,General Engineering,General Materials Science,General Chemistry

Reference60 articles.

1. Chemical product engineering: an emerging paradigm within chemical engineering;Costa;AIChE J.,2006

2. Development of surfactants and builders in detergent formulations;Yu;Chin. J. Chem. Eng.,2008

3. A comprehensive review on emulsions and emulsion stability in chemical and energy industries;Goodarzi;Can. J. Chem. Eng.,2019

4. Design of formulated products: a systematic methodology;Conte;AIChE J.,2011

5. An overview of novel surfactants for formulation of cosmetics with certain emphasis on acidic active substances;Lukic;Tenside Surfactants Deterg.,2016

Cited by 40 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. Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward;Macromolecules;2024-09-07

2. Self-Driving Laboratories for Chemistry and Materials Science;Chemical Reviews;2024-08-13

3. Stable and Highly Emissive Infrared Yb‐Doped Perovskite Quantum Cutters Engineered by Machine Learning;Advanced Materials;2024-07-31

4. Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset;Scientific Data;2024-07-03

5. Integration of artificial intelligence and big data in materials science: New paradigms and scientific discoveries;Chinese Science Bulletin;2024-07-01

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