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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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Feb 14, 2024 | Industry News

New Easy Peel-off UV Tape Simplifies Transfer of 2D Materials

A research team from Kyushu University, in collaboration with Japanese company Nitto Denko, has developed a tape that can be used to stick 2D materials to many different surfaces, in an easy and...

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Feb 2, 2024 | Industry News

Chemists Create AI-Driven Chemistry Robot for Autonomous Experimentation

Chemists of the University of Amsterdam (UvA) have developed an autonomous chemical synthesis robot with an integrated AI-driven machine learning unit. Dubbed ‘RoboChem’, the benchtop device can...

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Sep 14, 2023 | Industry News

NobleAI Launches Science-Based AI Solutions for Chemical Industry on Azure

NobleAI, a provider of science-based AI solutions for chemical and material informatics, announces the general availability of its offerings on Microsoft's Azure Marketplace. Solutions now available...

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Sep 6, 2023 | Industry News

Chemify to Digitalize Chemical Processes and Molecules with Artificial Intelligence

Chemify announces funding of £36 million including a Series A led by Triatomic Capital, joined by new investors including Hong-Kong based Horizon Ventures, US-based Rocketship Ventures, Possible...

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Aug 3, 2023 | Industry News

New AI Driven Digital System to Accelerate Polymer Design and Applications

Researchers at University of Bayreuth have developed a digital system that promises extraordinarily high economical, technological, and ecological benefits, from around 100 million theoretically...

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Aug 1, 2023 | Industry News

New AI Framework Predicts Molecular Property and Generation

Researchers from MIT and the MIT-IBM Watson AI Lab have developed a new, unified framework that can simultaneously predict molecular properties and generate new molecules much more efficiently than...

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Jul 21, 2023 | Industry News

New Data Application Unleashes Possibilities in Materials & Polymer Discovery

Researchers at Georgia Institute of Technology develop first-of-its-kind materials science data extraction pipeline for discovery of new polymers. The pipeline extracts material property records...

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Jun 22, 2023 | Industry News

Researchers Harness Machine Learning to Discover High-performance Polymers

Using the power of machine learning prediction, University of Wisconsin-Madison mechanical engineers have discovered several promising high-performance polymers out of a field of 8 million...

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Jun 14, 2023 | Industry News

Researchers Develop AI-based Software to Speed Up New Polymers’ Discovery

A program to advance the discovery of new polymers has been developed by a team of interdisciplinary researchers across King’s Faculty of Natural, Mathematical and Engineering Sciences...

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Jun 1, 2023 | Industry News

Chemical Companies Collaborate to Address AI Implementation Challenges

Chemical companies Covestro and Evonik as well as the consulting firm Accenture invited managers from production and technology divisions of Bayer, Clariant, WACKER, Shell, Lanxess and other...

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