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The material selection platform
Adhesives Ingredients
The material selection platform
Adhesives Ingredients
science230based

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!

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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May 3, 2023 | Industry News

Digitalization to Drive Sustainability in Europe's Chemical Industry

Digitalization has the power to transform the European chemical industry, revolutionizing the sector’s solutions and enabling a circular, more sustainable economy in line with the EU Green Deal...

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Mar 7, 2023 | Industry News

New Method Speeds-up Chemical Process of Molecule Building Using AI

Tim Cernak's lab at the University of Michigan discover that artificial intelligence dramatically speeds up the time-consuming chemical process of building molecules that will be tomorrow's...

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Aug 18, 2022 | Industry News

Sasol Chemicals to Deploy AI-driven Technology to Reduce CO₂ Emissions

Sasol Chemicals will deploy innovative, AI-driven technology, emissions.AI by UK-based data analytics experts OPEX at its Ethylene Unit at its Lake Charles Chemical Complex in Louisiana to measure...

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May 10, 2022 | Industry News

Showa Denko Introduces Machine Learning Operations to Boost Business

Showa Denko K.K. (SDK) introduced MLOps* (Machine Learning Operations) for efficient management of machine learning models deployed into Artificial Intelligence (AI) systems for materials design...

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Apr 6, 2022 | Industry News

New Learnable Grammar Machine-learning Based Method to Synthesize Polymers

Researchers have been trying to train a machine-learning model on a few existing chemical samples and then allow it to produce as many manufacturable molecules of the same class as possible, with...

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Jan 12, 2022 | Industry News

Greek A&S Manufacturers Form New Industry Association

Representatives of the Greek adhesive and sealant industry came together to found the Hellenic Adhesives and Sealant Cluster (HASC), under the umbrella of the Hellenic Association of Chemical...

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Jan 11, 2022 | Industry News

New Algorithm Predicts Potential Energy State of Individual Molecules

Researchers from the Berlin Institute for the Foundation of Learning and Data (BIFOLD) at TU Berlin and Google Research have successfully developed an algorithm to precisely and efficiently predict...

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Sep 8, 2021 | Industry News

New Mathematical Modeling Tool Predicts 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. Polymers networks...

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Aug 25, 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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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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