In a breakthrough research study, a team of scientists at the University of California San Diego have developed an AI-based technique that is capable of predicting the entire monomeric sequence of a polymeric material. This new technique, which utilizes machine learning algorithms, could revolutionize the way scientists design polymers for a range of applications.

The team used a combination of existing data and AI algorithms to develop a method which could accurately predict the sequence of a given polymer. By utilizing a large database of existing polymers and their corresponding sequences, they were able to create an AI model which could accurately predict the sequence of a new material. This method was able to correctly predict the sequences of over 90% of the polymers in the database, with an accuracy of up to 95%.

This new AI-based technique could lead to major advancements in the development of polymeric materials. By providing a reliable method for predicting the sequence of polymers, scientists can more rapidly design materials for a range of applications. This could ultimately lead to the development of new polymeric materials with improved properties.

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source: Phys.org