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KUALA LUMPUR, Matmerize Inc, a pioneering artificial intelligence (AI)-based polymer informatics company, has announced its engagement with Asahi Kasei, a diversified Japanese multinational company, to advance polymer informatics for sustainable innovation.
This collaboration is expected to play a significant role in achieving Asahi Kasei’s sustainability and carbon-neutral goals by enabling the development of polymers with enhanced ionic conductivity and attractive optical and dielectric properties, crucial for applications in fuel cells, batteries, dielectrics, electronic and electrochemical devices.
According to a statement, Asahi Kasei aims to leverage Matmerize’s advanced AI algorithms and machine learning capabilities to accelerate the research and development (RandD) of sustainable polymer formulations.
The Asahi Kasei team is using Matmerize’s flagship software, PolymRize, to enhance their ability to drive advancements in material discovery and optimisation, which is crucial for applications in el
ectronics, packaging, and sustainable materials.
PolymRize harnesses Matmerize’s vast database or uses client-proprietary data in a secure manner to construct predictive models that assist in new polymer discovery and design, and rapidly predict the properties of novel, yet-to-be-synthesised polymers, composites, and formulations.
By employing automated analytic and generative AI tools, PolymRize significantly accelerates RandD for target materials, reducing both time and costs and also introduces a robust framework for data management as well as organisation.
Asahi Kasei operates across three sectors, namely material, homes, and health care, with a strong focus on sustainability initiatives and a goal of achieving a carbon-neutral society by 2050.
Matmerize integrates polymer domain knowledge with advanced AI to transform and accelerate industrial materials development at scale, revolutionising the materials RandD environment by offering AI software for the cost-effective and rapid design of functional a
nd sustainable polymer formulations.
Source: BERNAMA News Agency
