Quantum Time Crystals
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Energy landscapes of proteins based on machine learning approach
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Cellulose nanocrystal (CNC)/liquid crystal composite materials: Deep understanding of the electro-optical performance
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Supramolecular gels from metal coordination cages with peptides
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Topological Solitons and Protein folding
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Interplay of RNA topology and confinement in ssRNA viruses
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Rheology of DNA origami
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Investigating RNA topologies and folding
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Machine learning and decision support systems in analysing data and prediction in terms of determining and use of MWCNT’s topological
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Topologically assembled active nematic emulsions
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Epigenetic-based modelling of Arabidopsis thaliana genome
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Topological Solitons and Protein folding
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