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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: determining polymer properties, compatibility between ingredients, optimizing polymer-polymer adhesion… 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 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 9, 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’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 16, 2020 | Industry News

Researchers Transform Carbon Dioxide into Ethylene Using AI

Researchers at U of T Engineering and Carnegie Mellon University are using AI to accelerate progress in transforming waste carbon into a commercially valuable product. They leveraged AI to speed up...

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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 7, 2020 | Industry News

New Intelligent Microsystem Allows Efficient Polymerization Design

Ryan Hartman of the NYU Tandon School of Engineering, and his laboratory developed a lab-based “intelligent microsystem” employing machine learning, for modeling chemical reactions that shows...

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Mar 25, 2020 | Industry News

Researchers Develop New 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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Jan 24, 2020 | Industry News

Researchers Unveil 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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Dec 16, 2019 | Industry News

Covestro Organizes Conference to Promote Data Sciences in Chemistry

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 24, 2019 | Industry News

LANXESS’ New AI-assisted Project for Prepolymer-based Formulations

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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