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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!

Don’t get left behind from your competitors.
Be straight-forward with your developments.

Follow latest developments in scientific models, and how to use them to solve your own formulation issues.
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Sep 2, 2021 | Industry News

Machine Learning Connects Material Composition & Performance in Catalysts

Researchers at the University of Michigan have used machine learning to predict how the compositions of metal alloys and metal oxides affect their electronic structures. The electronic structure is...

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Apr 23, 2021 | Article

Optimizing Coating Performance via Predictive Compatibility Parameters of Carbon Blacks and Dispersants

By Sander van Loon

Learn how to quickly predict the most compatible dispersant/carbon black pairing using Hansen Solubility Parameters (HSP) to optimize the performance of your coating...

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Mar 2, 2021 | Article

A Success Story of Predictive Formulation with Science-based Apps

By SpecialChem

On the occasion of his 70th birthday, we are thrilled to interview Professor Steven Abbott to learn more about his success story to practical formulation science and how science-based tools simplify...

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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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