The material selection platform
Coatings Ingredients
The material selection platform
Coatings Ingredients
Science-based Formulation: Digitalization of Formulation Tools & Data

Science-based Formulation

If you’re in search of efficiency, your best move is to let go of trial-and-error and take a step towards science-based predictive models! As industry gets more and more digital, the use of science-based tools and apps is accelerating.

Applications cover the full formulation scope: solvent replacement (creative blends), optimization of the dispersibility, stabilization of emulsions… and many more!

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Follow latest developments in scientific models, and how to use them to solve your own formulation issues.
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Nov 20, 2020 | Article

Maturity of Hansen Solubility Parameters (HSP) Usage in Different Applications

By Bernard Hasson

Explore the different applications of Hansen Solubility Parameters (HSP), its anticipated impact, adoption rate and the data availability across different formulation domains...

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Nov 9, 2020 | Industry News

Siemens to Take-over Culgi, a Computational Chemistry Software Company

Siemens has signed an agreement to acquire Culgi, a computational chemistry software company with a focus on multiscale simulations in the process industries. Culgi’s solutions will expand...

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Aug 7, 2020 | Article

Hands-on Theory of Micelles, Di-blocks and Host/Guest Solubilization

By Steven Abbott

Explore how the theory of micelles, di-blocks, and host/guest solubilization can be modeled easily using SF Approach, HSPiP software, and Hansen Solubility Parameters (HSP)...

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Jul 9, 2020 | Article

A New Science-based Tool to Develop Particles-Polymer Dispersions Faster

By Steven Abbott

Explore how you can optimize complex particle systems much faster using a new science-based tool based on HSP that simplifies complex calculations of SF (lattice) theory...

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May 28, 2020 | Industry News

New AI-based System to Test Fracture-resistance in Coatings

MIT researchers have developed a new artificial intelligence-based approach to develop stronger protective coatings or structural materials. This system could reduce lab tests or even detailed...

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Mar 26, 2020 | Industry News

New Structure-based AI Tool to Predict Reaction Results

A team of chemists and computer scientists from the University of Münster has joined forces and developed an AI tool to predict reaction results. In the approach, the authors use a large number of...

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Mar 6, 2020 | Article

Using HSP to Select Coalescents and Improve Film Formation

By Sander van Loon

Discover the effective method to select coalescents and improve film formulation of your dispersion paints & coatings using Hansen Solubility Parameters (HSP)...

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Jan 23, 2020 | Industry News

New Model to Predict Chemical Properties of Molecules Using AI Methods

The research team from Kazan University has announced that it is working on a computational model able to predict the properties of new molecules based on the analysis of fundamental chemical laws...

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Dec 17, 2019 | Industry News

Covestro Organizes Conference to Promote AI in Chemical Industry

Covestro together with Bayer and Evonik has organized the first conference on artificial intelligence (AI), Chemalytix in Germany, to promote data science, sustainable research, production and...

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Oct 21, 2019 | Industry News

LANXESS’ AI-aided Formulation Design to Develop Urethane Systems

LANXESS is broadening its use of artificial intelligence (AI) in product development. The specialty chemicals company has launched a project aimed at expanding its range of prepolymers. The goal is...

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