MSIF20 – V Ginzburg – Using First-Principles Multi-Scale Modelling to Design Rheology Modifiers for Waterborne Paints
Using First-Principles Multi-Scale Modeling to Design Rheology Modifiers for Waterborne Paints Valeriy GinzburgDow Inc. (retired) Modern paints are complex mixtures comprised of multiple components such as water, pigments, latex binders, dispersants, rheology modifiers or thickeners, and others. This presentation is specifically devoted to the use of modeling to understand the rheology and colloidal stability of […]
MSIF20 – L Mazzei – Modelling and Simulation Applied to Sonocrystallization in Continuous-Flow Millichannel Contractors
Modelling and Simulation Applied to Sonocrystallization in Continuous-Flow Millichannel Contactors Luca MazzeiDepartment of Chemical Engineering, University College London, UK Crystallization is widely employed in pharmaceuticals manufacturing; over 90% of all pharmaceutical products contain drugs in particulate, and usually crystalline, form. Typically, crystallizers are standard agitated vessels, and seeding is used to direct and control the […]
MSIF20 – GM Kontogeorgis – Computer-Aided Design of Paints and Coatings – A review and recent applications
Computer-Aided Design of Paints and Coatings – A review and recent applications Georgios M. Kontogeorgis*, Spardha Jhamb, Xiaodong Liang, Kim Dam-Johansen CERE and CoaST, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 229, Søltofts Plads 229, DK – 2800, Kgs. Lyngby, Denmark*Corresponding authorEmail address: gk@kt.dtu.dk Computer-aided design (CAD) is still in an […]
Formulation 4.1 – A Clark – Mixtures: informatics for formulations and consumer products
Dr Alex Clark, Collaborative Drug Discovery (Canada) & Leah Rae McEwan, Cornell University/IUPAC – Mixtures: informatics for formulations and consumer products Presentation – pdf We will describe a new standard for capturing the composition of mixtures in a machine readable hierarchical form. The existence of such datastructures alongside an ecosystem of data and tools allows the substances […]
Formulation 4.1 – M Jimenez-Solomon E Piercy – Formulator Superpowers
Dr Maria Jimenez-Solomon and Ellen Piercy, Unilever – Formulator Superpowers Presentation – pdf The world is changing rapidly and the need for fast innovation to deliver products to market is more critical than ever. Formulations must be developed quickly in an increasingly complex materials landscape: we need to give formulators superpowers to meet the challenge! This […]
Formulation 4.1 – S Vyas – Modelling Mixtures @IFF: Using computers to build better formulations
Dr Shyam Vyas, International Flavors and Fragrances – Modelling Mixtures @IFF: Using computers to build better formulations Presentation – pdf The presentation provides a short overview of the Data and Analytics team at IFF and how we have used computational approaches to study mixtures. In particular, we provide an example of how the COSMO-RS methodology […]
Formulation 4.1 – D Fearnshaw N Watson – Connected Everything Network+ and digital technologies for intelligent process monitoring
Debra Fearnshaw and Dr Nicholas Watson, University of Nottingham – Connected Everything Network+ and digital technologies for intelligent process monitoring Presentation – pdf Dr Nik Watson and Debra Fearnshaw will introduce the Connected Everything Network+ and describe recent developments in digital technologies for intelligent process monitoring. Q&A:
Formulation 4.1 – H Ryder – Welcome to Formulation 4.1
Dr Helen Ryder, University of Manchester / Chair RSC FST – Welcome to Formulation 4.1
Formulation 4.1 – W Niu – RSC Digital Futures Report
Dr Wendy Niu, RSC – RSC Digital Futures Report Presentation – pdf Digital technologies – from computational chemistry and multiscale modelling to machine learning and robotics – will play an increasingly important role in enabling and accelerating science R&D. This talk will summarise the key findings of the RSC’s recent Digital Futures report, which explores […]
Formulation 4.1 – T Rodgers – Introduction to Session III
Dr Tom Rodgers, The University of Manchester, UK – Introduction to Session III