TECHNOLOGY | INNOVATION
company’s data or using pre-built stock models. For example, Asahi Kasei is using PolymRize to
accelerate development of sustainable polymer formulations for applications such as fuel cells, batteries, dielectrics, electronic and electrochemi- cal devices. The software can be used to predict properties that are important for these applications, such as ionic conductivity, optical and dielectric properties. CJ Biomaterials, a producer of polyhydroxyal-
kanoate (PHA) biopolymers, successfully tested the AI platform last year. CJ Biomaterials was able to estimate the performance of new materials with greater efficiency using the predictive analytics platform.
Material design Erthos, a sustainable material design company headquartered in Toronto, Canada, launched its AI-based Erthos Studio, based on its proprietary ZYA machine learning platform, last year. The technology aims to accelerate the widespread adoption of bio-based plastics by collaborating with consumer packaged goods brands and materials companies to design bio-based formulations. The platform generates formulations based on design inputs such as mechanical properties, cost, disintegration rates, and greenhouse gas emis- sions. This approach reduces development cost and can create a ready-to-scale, custom bio-based material in just three to six months, the company said. The company’s co-founder, Nuha Siddiqui, will be presenting the technology and its application at AMI’s Bioplastics event taking place on 26-27 August in Cleveland, Ohio.
Celanese launched a digital assistant platform
called Chemille for materials selection that uses an AI-based tool for searching the Celanese material portfolio using various filters, such as application, polymer type, or filler type. “Chemille offers a comprehensive range of
engineered material options, ensuring our customers do not overlook the best choice for their application,” the company said. “With in-depth knowledge of the entire Celanese materials portfolio, Chemille provides precise recommendations tailored to the exact specifications and requirements of any customer in any industry. Users can input specific properties they need, such as thermal resistance, mechanical strength, or chemical compatibility. Chemille will then identify the most relevant material solution based on these criteria.”
CLICK ON THE LINKS FOR MORE INFORMATION: �
www.labscubed.com �
www.colvistec.de �
https://equitechintl.com �
www.basf.com �
www.endress.com �
www.technocompound.com �
www.joint-lab-polymers.de �
www.lbf.fraunhofer.de �
www.ideopak.com �
www.revolutioncompany.com �
www.premixgroup.com �
www.matmerize.com �
www.asahi-kasei.com �
https://cjbiomaterials.com �
www.planeterthos.com �
www.askchemille.com
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