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The material selection platform
Cosmetics Ingredients
The material selection platform
Cosmetics 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), efficient active delivery in cosmetics, 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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Mar 3, 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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Dec 1, 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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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 | Article

Bio-based HSP Determination for Cosmetic Applications

By Sander van Loon

Simplify your search to replace traditional solvents in cosmetics application with bio-based and green alternatives using Hansen Solubility Parameters (HSP) approach...

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Mar 26, 2020 | Industry News

Scientists Develop AI Model 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. A robust system can be used to predict both yields...

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Mar 20, 2020 | Article

Get Rich Foams in Cleansing Products with Science-based Approach

By Steven Abbott

Discover how to get rich and high quality foams in cleansing products with science-based apps. Also, analyze the behavior of surfactants in order to speed-up and test foaming...

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Jan 24, 2020 | Industry News

Researchers Propose New Model to Predict Properties of Molecules Using AI

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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Jun 25, 2019 | Article

Part-2: Determining Solvent Evaporation Rates Faster with Science based Tool

By Steven Abbott

Learn to deal with the complications like non-ideality of solvents and limiting diffusion rate while determining solvent evaporate of solvents in science-based formulation using HSP...

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Jun 17, 2019 | Industry News

New Analytical Technique Makes it Possible to Get Objective HSP Data for Particles

With the help of Hansen Solubility Parameters (HSP), the modern formulator is able to find compatible ingredients faster. With modern techniques, it is now possible to get objective measurements of...

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