A data-driven sequencer that unveils latent “codons” in synthetic copolymers
Yusuke Hibi, Shiho Uesaka, Masanobu Naito
Abstract
Codons in synthetic copolymers—sequence-specific short segments encoding synthetic copolymer properties—became quantifiable via thermal fragmentation and virtual reconstruction based on unsupervised learning of pyrolysis mass-spectra.
Topics & Concepts
CopolymerPolymerMonomerTernary operationSequence (biology)Stop codonBinary numberTemplateChemistryComputational biologyComputer scienceMaterials scienceNanotechnologyBiologyMathematicsGeneBiochemistryOrganic chemistryProgramming languageArithmeticChemical Synthesis and AnalysisMass Spectrometry Techniques and ApplicationsMachine Learning in Materials Science