Grant: Discovery Grants Program - Individual
University of Alberta
$110,000.00
A Monte Carlo Framework for the Design of Polymeric Materials
FY 2023-24
Summary
The main objective of this research program is to develop an integrated modelling framework to design polymers with controlled molecular architectures using Monte Carlo simulation techniques. This program will build on, and extent, the work pursued in my research group since 1995. It main aim is to integrate polymerization kinetics, mathematical modelling, and in-depth polymer architecture measurement into a coherent framework that can be used to make polymers with precisely designed microstructures under conditions that are relevant to the industry. In recent years, progress in computing processing time is making Monte Carlo simulation increasingly more attractive as an alternative mathematical modelling technique for polymerization reactors. My research group pioneered the use of Monte Carlo methods for the simulation of polymerization processes; we were, most likely, the first group to use this modelling approach in Canada to systematically investigate olefin polymerization. Now, time has come to extend our initial successful efforts, by developing a general methodology that uses steady-state and dynamic Monte Carlo methods to model all types of polymerization processes. These models will predict polymer architecture details under a variety of polymerization conditions. No other mathematical modelling technique can provide the same wealth of information on polymer microstructure details. When coupled with structure-property relationships, these Monte Carlo models will become invaluable tools to help design polymers with advanced properties for many different applications. Following an approach that I have established and continuously developed over the last 20 years, researchers in my group will perform extensive polymerization experiments and polymer characterization analyses to develop and validate these mathematical models. I plan to investigate 3 main classes of polymers, building on the experience my group has accumulated over more than two decades: 1) specialty polyethylenes and polypropylenes, 2) water-soluble polymers with novel microstructures for enhanced flocculation performance, and 3) polymers for thin-film filtration membranes. The emphasis of this research program, as usual in my group, will be to use polymerization reaction engineering principles to develop Monte Carlo models for polymerizations that can be conveniently scaled-up to industrial production and produce polymers that are useful to society. These polymers may find applications in household items, automotive and aeronautical applications, and environmental remediation. In addition to the 3 main application areas cited above, the Monte Carlo modelling framework envisioned in this program will be applicable to any polymer type, polymerization mechanism and reactor type. Consequently, this research program constitutes an open-ended contribution to polymer science and engineering that will extend beyond the two main focus areas currently pursued in my group.
Program
Discovery Grants Program - Individual
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2019-04602
Name nom
Soares, Joao
Department département
Chemical and Materials Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2019
Award amount
110000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1511
Committee name en
Materials and Chemical Engineering
Committee name fr
Génie chimique et des matériaux
Area of application code
508
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Polymers, rubber and plastics
Area of application fr
Polymères, caoutchouc et plastiques
Research subject code
1800
Research subject group en
Chemical engineering
Research subject group fr
Chemical engineering
Research subject en
Génie chimique
Research subject fr
Génie chimique
Application title
A Monte Carlo Framework for the Design of Polymeric Materials
Keyword
mathematical modelling; Monte Carlo simulation; Monte Carlo techniques; polyelectrolytes; polyethylene; polymer characterization; polymer flocculants; polymerization reaction engineering; polyolefins; polypropylene
Application summary
The main objective of this research program is to develop an integrated modelling framework to design polymers with controlled molecular architectures using Monte Carlo simulation techniques. This program will build on, and extent, the work pursued in my research group since 1995. It main aim is to integrate polymerization kinetics, mathematical modelling, and in-depth polymer architecture measurement into a coherent framework that can be used to make polymers with precisely designed microstructures under conditions that are relevant to the industry. In recent years, progress in computing processing time is making Monte Carlo simulation increasingly more attractive as an alternative mathematical modelling technique for polymerization reactors. My research group pioneered the use of Monte Carlo methods for the simulation of polymerization processes; we were, most likely, the first group to use this modelling approach in Canada to systematically investigate olefin polymerization. Now, time has come to extend our initial successful efforts, by developing a general methodology that uses steady-state and dynamic Monte Carlo methods to model all types of polymerization processes. These models will predict polymer architecture details under a variety of polymerization conditions. No other mathematical modelling technique can provide the same wealth of information on polymer microstructure details. When coupled with structure-property relationships, these Monte Carlo models will become invaluable tools to help design polymers with advanced properties for many different applications. Following an approach that I have established and continuously developed over the last 20 years, researchers in my group will perform extensive polymerization experiments and polymer characterization analyses to develop and validate these mathematical models. I plan to investigate 3 main classes of polymers, building on the experience my group has accumulated over more than two decades: 1) specialty polyethylenes and polypropylenes, 2) water-soluble polymers with novel microstructures for enhanced flocculation performance, and 3) polymers for thin-film filtration membranes. The emphasis of this research program, as usual in my group, will be to use polymerization reaction engineering principles to develop Monte Carlo models for polymerizations that can be conveniently scaled-up to industrial production and produce polymers that are useful to society. These polymers may find applications in household items, automotive and aeronautical applications, and environmental remediation. In addition to the 3 main application areas cited above, the Monte Carlo modelling framework envisioned in this program will be applicable to any polymer type, polymerization mechanism and reactor type. Consequently, this research program constitutes an open-ended contribution to polymer science and engineering that will extend beyond the two main focus areas currently pursued in my group.