Particle-Size Distribution Prediction and Control via Mechanism-Enabled Population Balance Modeling
Richard Finke a
a Department of Chemistry, Colorado State University, 1872 Campus Delivery, Fort Collins, CO, 80523, United States
Materials for Sustainable Development Conference (MATSUS)
Proceedings of nanoGe Fall Meeting 2021 (NFM21)
#NCFun21. Fundamental Processes in Nanocrystals and 2D Materials
Online, Spain, 2021 October 18th - 22nd
Organizers: Brandi Cossairt and Jonathan De Roo
Invited Speaker, Richard Finke, presentation 042
DOI: https://doi.org/10.29363/nanoge.nfm.2021.042
Publication date: 23rd September 2021

A “Holy Grail” of particle science has been to be able to predict and control particle average size and particle size distribution (PSD) for the myriad of particles formed synthetically, or naturally, throughout nature. We have recently been able to make a significant advance on this problem following (i) 25 years of developing the minimum mechanisms for particle formation and agglomeration—now a total of ≥96 distinct mechanism when including A. Karim’s important ligand-based pseudoelementary steps; and most recently (ii) the combination of those experimentally based, Ockham’s razor obeying, hence deliberately minimum mechanisms with classic population balance modeling, what we have termed Mechanism-Enabled Population Balance Modeling (ME-PBM). The talk will strive to present the essential features of ME-PBM and its main implications. Time permitting, the highlights of two recent comprehensive reviews of the ~2000 papers in the literature citing LaMer’s model of particle formation, as well as a review of the use of synchrotron radiation for XAFS and SAXS studies of particle formation, will be briefly summarized.

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