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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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Sep 8, 2021 | Industry News

New Mathematical Modeling Tool to Predict Polymer Properties

A team of researchers has developed a powerful mathematical modeling tool that will allow researchers to predict the properties of polymer networks before they are even created. This new model...

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Aug 26, 2021 | Industry News

Researchers Use Machine Learning to Predict Catalysts’ Performance

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 to understand how the...

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Jul 9, 2021 | Industry News

Science-based Approach Predicts Efficient Catalyst for Propylene Production

Scientists used quantum chemical simulations run on supercomputers to predict a new catalyst architecture as well as its interactions with certain chemicals, and demonstrated in practice its ability...

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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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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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