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    <responseDate>2026-10-14T06:15:04Z</responseDate>
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                <identifier>oai:data.mendeley.com/fn4xyvvyhh.1</identifier>
                <datestamp>2025-07-24T15:54:06Z</datestamp>
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    <dc:creator>Kamberaj, Hiqmet</dc:creator>
    <dc:title>Helical Twisting Power of Chiral Molecules in Nematic Liquid Crystals Solutions</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The helical structure of the chiral nematic phases induced by chiral dopants in a nematic liquid crystal solvent provides macroscopic information about the molecular chirality of the dopant molecule.  There are various theoretical methods used to relate molecular chirality to the so-called helical twisting power of the dopant in nematic liquid crystals. However, machine learning approaches can be a useful technique for predicting the helical twisting power of a chiral dopant in the nematic phases. This dataset presents a preliminary study of a set of chiral dopants in the chiral nematic phases.
</dc:description>
    <dc:subject>Chirality</dc:subject>
    <dc:subject>Liquid Crystal</dc:subject>
    <dc:subject>Chiral Symmetry Breaking</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/fn4xyvvyhh.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/fn4xyvvyhh.1</dc:identifier>
    <dc:rights>Attribution Noncommercial Sharealike 4.0 International</dc:rights>
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    <dc:date>2025-07-24T15:54:06Z</dc:date>
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