Optimal production of graphene by electrolysis in molten salts using machine learning
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Multiscale characterization of local DNA lesion
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Landscape Exploration of Topologically constrained Viral RNA
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Probabilistic and Topological Approaches to Potential Z-DNA Genomic Sequences
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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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Machine learning for optimising the quality of Multiwall Carbon Nanotubes (MWCNTs) production process
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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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