MATMERIZE UNVEILS LANGUAGE MODEL BASED POLYMER EXPERT

KUALA LUMPUR, Aug 16 (Bernama) -- Matmerize Inc, a leader in artificial intelligence (AI)-driven polymer design, has announced the upcoming integration of an advanced language model capability, ASKPOLY, into its flagship polymer property prediction and generative design software, PolymRize.

Matmerize Chief Executive Officer, Rampi Ramprasad in a statement said the company is dedicated to pushing the boundaries of polymer design by pioneering and advancing AI for materials.

“The integration of ASKPOLY into PolymRize not only enhances the platform's capabilities but also reinforces our commitment to providing clients with the latest tools to transform polymer research and development,” he added.

Leveraging the latest advancements in large language models (LLMs), pre-training, fine-tuning and the vast body of knowledge embedded in polymer corpora, ASKPOLY is designed to complement and enhance the predictive capabilities of PolymRize.

ASKPOLY can be queried using natural language to predict properties, generate new polymer chemistries, and optimise composite or formulation compositions.

Pre-trained on Matmerize knowledgebase and an extensive polymer corpus, ASKPOLY makes accurate property predictions for neat polymers and composites.

Users can fine-tune ASKPOLY with proprietary data and text to achieve highly accurate, customised predictions and designs, in which all user data is kept confidential, secure, and never shared.

The introduction of ASKPOLY into PolymRize offers an intuitive user experience while significantly boosting the platform's predictive accuracy, flexibility and generalisability, progressively and continuously. 

ASKPOLY enables users to interact with the system using natural language queries, making it easier to use past knowledge without loss.

-- BERNAMA