The material selection platform
Adhesives Ingredients
The material selection platform
Adhesives 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), optimizing compatibility between adhesive and adherend, stabilization of emulsions… and many more!

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Be straight-forward with your developments.

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Nov 30, 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 26, 2020 | Article

Formulating Adhesives and Sealants with VOC Restrictions

By Edward M. Petrie

Reduce VOC emissions in your adhesive and sealant formulations by minimizing the use of solvents or by switching to solvents with better environmental profiles...

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Nov 10, 2020 | Industry News

Siemens to Acquire 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 will join Siemens Digital...

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Oct 13, 2020 | Article

Efficient Selection of Bio-Based Surfactants for Emulsion Polymerization

By Sander van Loon

A proof of concept has been developed at VLCI – Amsterdam to showcase the process of surfactant selection via the HLD theory for emulsion polymerization. This approach, that has already been proved...

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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 29, 2020 | Article

Bio-based HSP Determination for Adhesive Applications

By Sander van Loon

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

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Mar 26, 2020 | Industry News

Researchers Develop New AI Tool to Predict Chemical 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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Jan 29, 2020 | Industry News

New Computational Model Predicts Chemical 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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Dec 13, 2019 | Industry News

Covestro Organizes Conference on Artificial Intelligence for 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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