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        <datestamp>2026-03-13T13:52:53Z</datestamp>
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            <alternateIdentifier alternateIdentifierType="URL">https://figshare.com/articles/dataset/Data_and_Code_for_The_Spin-MInt_Algorithm_an_accurate_and_symplectic_integrator_for_the_spin-mapping_representation_of_nonadiabatic_dynamics_/31706686</alternateIdentifier>
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              <creatorName>Cook, Lauren E.</creatorName>
              <givenName>Lauren E.</givenName>
              <familyName>Cook</familyName>
              <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org">0009-0003-8242-8237</nameIdentifier>
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            <creator>
              <creatorName>Hele, Timothy J. H.</creatorName>
              <givenName>Timothy J. H.</givenName>
              <familyName>Hele</familyName>
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            <creator>
              <creatorName>Rampton, James</creatorName>
              <givenName>James</givenName>
              <familyName>Rampton</familyName>
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          <titles>
            <title><![CDATA[Data and Code for 'The Spin-MInt Algorithm: an accurate and symplectic integrator for the spin-mapping representation of nonadiabatic dynamics']]></title>
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          <subjects>
            <subject>Theoretical quantum chemistry</subject>
            <subject>Computational chemistry</subject>
            <subject>spin 1/2 system</subject>
            <subject>spin mapping</subject>
            <subject>nonadiabatic dynamics</subject>
            <subject>MMST</subject>
            <subject>Algorithms and Programming</subject>
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          <dates>
            <date dateType="Created">2026-03-13</date>
            <date dateType="Updated">2026-03-27</date>
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          <resourceType resourceTypeGeneral="Dataset">Dataset</resourceType>
          <publicationYear>2026</publicationYear>
          <publisher>University College London</publisher>
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            <description descriptionType="Abstract"><![CDATA[<p dir="ltr">Data and code for the publication 'The Spin-MInt Algorithm: an Accurate and Symplectic Propagator for the Spin-Mapping Representation of Nonadiabatic Dynamics' which has been accepted at JCP. </p><p dir="ltr">The python code for all the algorithms can be found in dynamics.py file. Includes the data and plots for the publication. </p><p dir="ltr">README.txt provides further details. </p><p dir="ltr">If you have any issues please contact l.cook.18@ucl.ac.uk </p><p><br></p>]]></description>
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