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Polymer Additives
The material selection platform
Polymer Additives
Science and Technology Channel 230

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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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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Aug 17, 2022 | Industry News

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

Sasol Chemicals will deploy innovative, AI-driven technology at its Ethylene Unit at its Lake Charles Chemical Complex in Louisiana to measure and monitor energy usage and emissions to identify...

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Jun 24, 2022 | Industry News

Neste & Partners to Expand Microalgae-based Renewable Raw Materials Pool

VTT is coordinating a two-year research project involving the University of Jyväskylä, Neste and seven Finnish SMEs, jointly addressing some of the bottlenecks in large-scale algal cultivation...

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Apr 8, 2022 | Industry News

New Machine-learning Method Based on Learnable Grammar to Synthesize Monomers

MIT Researchers have developed efficient machine-learning method which uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers...

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Apr 1, 2022 | Industry News

Researchers Use Spectroscopy & ML to Identify Plasticizers in PVC

Scientists use non-destructive spectroscopic analysis combined with machine learning to obtain rapid information on the identity and content of plasticizers in PVC objects of heritage value...

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Feb 23, 2022 | Industry News

Researchers Assess Single-layer Graphene Uniformity Using Raman Spectroscopy

Researchers from Graphene Flagship partner RWTH Aachen University and the Graphene Flagship Standardization Committee have pushed through a new IEC standard for assessing the strain uniformity of...

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Feb 10, 2022 | Industry News

Scientists Use Machine-learning to Streamline Graphene Synthesis Process

Rice University scientists are using machine-learning techniques to streamline the process of synthesizing graphene from waste through flash Joule heating...

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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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