Particle Size Distribution Reconstruction Using a Finite Number of Its Moments through Artificial Neural Networks: A Practical Application-Reference-Cited by-同舟云学术

Particle Size Distribution Reconstruction Using a Finite Number of Its Moments through Artificial Neural Networks: A Practical Application

Published:2014-12-19 Issue:1 Volume:15 Page:239-246
ISSN:1528-7483
Container-title:Crystal Growth & Design
language:en
Short-container-title:Crystal Growth & Design

Author:

Cogoni G.¹,Frawley P. J.¹

Affiliation:

1. Solid State Pharmaceutical Cluster (SSPC), Materials & Surface Science Institute (MSSI), Lonsdale Building, Department of Mechanical, Aeronautical and Biomedical Engineering, University of Limerick, Castletroy, Co. Limerick, Ireland

Funder

Science Foundation Ireland

Publisher

American Chemical Society (ACS)

Subject

Condensed Matter Physics,General Materials Science,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/cg501288z

Reference17 articles.

1. Internal Fines Removal Using Population Balance Model Based Control of Crystal Size Distribution under Dissolution, Growth and Nucleation Mechanisms

2. Simultaneous Parameter Estimation and Optimization of a Seeded Antisolvent Crystallization

3. Quadrature method of moments for aggregation–breakage processes

4. Properties and evolution of aerosols with size distributions having identical moments

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