TAGS: Science-based Formulation
Researchers at University of Bayreuth have developed a digital system that promises extraordinarily high economical, technological, and ecological benefits, from around 100 million theoretically possible polymers and named it ‘polyBERT’.
The name comes from the interdisciplinarity from which polyBERT emerged- insights, concepts and techniques of polymer chemistry, linguistics and natural language processing, and the new artificial intelligence paradigm.
Understanding the Polymer Language
Prof. Dr. Christopher Kuenneth, Professor of Computational Materials Science at the Faculty of Engineering and Prof. Dr. Rampi Ramprasad at the Georgia Institute of Technology in Atlanta have named and designed this new system.
polyBERT is a system that treats the chemical structure of polymers like a chemical language- each word that can be formed in this language is a unique name for a theoretically possible polymer.
The molecular building blocks and structures of respective polymers are reflected in these names. Building on new insights from linguistics and computer science, polyBERT has been trained and developed to a learning system by the research team in Bayreuth and Atlanta.
In a first step, polyBERT has learned the names of about 100 million theoretically possible polymers. These names are combinations of molecular units contained in approximately 13,000 polymers. The training of polyBERT makes it understand the polymer language, and correctly identify building blocks and structures of about 100 million polymers. The learning digital system can even use the polymer language on its own. This means that polyBERT can generate further names of previously unknown but theoretically possible polymers.
Using Artificial Intelligence for Precise Selection
Linked to the chemical language expertise is another capability, polyBERT automatically translates polymer names that it knows into numerical representations, so-called 'fingerprints'.
Each fingerprint is a unique code word consisting of numbers from which the building blocks and structure of the respective polymer can be inferred. This automatic generation of digital fingerprints is far less error-prone and much faster than human-generated fingerprints for each chemical structure of polymers.
polyBERT derives its enormous practical relevance from the teaching process, by the researchers in Bayreuth and Atlanta, about numerous characteristic polymer properties that are particularly relevant for technological applications. The system is therefore able to unambiguously correlate fingerprints and properties of polymers.
Novel techniques from the field of artificial intelligence enable polyBERT to precisely select, with high accuracy and at unprecedented speed, those polymers required for specific applications from the 100 million theoretically possible polymers. "
polyBERT is an exceptionally high-performance system for rapid and accurate prediction of polymer properties. Therefore, our research has the potential to significantly accelerate the design, synthesis and technological application of polymers," says Kuenneth.
Source: University of Bayreuth