Computer-aided design of formulated products: A bridge design of experiments for ingredient selection-Reference-Cited by-同舟云学术

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Computer-aided design of formulated products: A bridge design of experiments for ingredient selection

Published:2023-01 Issue: Volume:169 Page:108083
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Cao Liwei,Russo Danilo,Matthews Emily,Lapkin Alexei,Woods David

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference32 articles.

1. Optimum Experimental Designs, with SAS;Atkinson,2007

2. Optimization of formulations using robotic experiments driven by machine learning DoE;Cao;Cell Reports Phys. Sci.,2021

3. Machine learning-aided process design for formulated products;Cao;Comp. Aided Chem. Engng.,2020

4. Bayesian Experimental Design: A Review;Chaloner,1995

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

Cited by 4 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. Additive patterns in near-infrared diffuse reflectance spectra: Implications for product formulation and analysis;Food Control;2024-11

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

3. Generation of Dissimilar Alternative Product Formulations Using Graphs;Processes;2023-11-04

4. Automated pipetting robot for proxy high-throughput viscometry of Newtonian fluids;Digital Discovery;2023

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