<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-12T09:33:06Z</responseDate>
  <request identifier="oai:figshare.com:article/33911563" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/33911563</identifier>
        <datestamp>2026-09-17T20:37:46Z</datestamp>
        <setSpec>portal_1197</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_09_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Dataset for "Automated discovery of algorithms for molecular electronic structure calculations using physics-informed program synthesis"</dc:title>
          <dc:creator>Kyle Acheson (15388816)</dc:creator>
          <dc:creator>Rastislav Turanyi (23496644)</dc:creator>
          <dc:creator>Scott Habershon (1263891)</dc:creator>
          <dc:subject>Migrated from ePrints</dc:subject>
          <dc:description>We demonstrate a physics-informed program synthesis (PIPS) approach that can be used to identify entirely-new algorithms that approximate the results of single-reference electronic structure approaches like Hartree-Fock (HF) and density-functional theory (DFT) - but without any self-consistent field iterations at all. Our PIPS strategy exploits the fact that the eigenvectors of the Fock matrix F (or Kohn-Sham matrix K) are the same as the eigenvectors of a broad class of matrix functions, f(F). As a result, PIPS can be used to seek matrices M that yield the same molecular orbital coefficients as converged HF or DFT calculations. We demonstrate this approach by generating new algorithms that accurately predict total energies for a series of heterodiatomic molecules (LiCl, LiF, NaCl, NaF) and C1-C4 hydrocarbons; further simulations of C8-C20 alkane species demonstrate further transferability and efficiency of the resulting algorithms. We obtain novel algorithms that can reproduce HF or DFT energies to within 0.1 kcal/mol/atom while requiring only a single matrix-diagonalization operation, rather than an iterative self-consistent field convergence. The approach demonstrated here could be similarly applied to more complex wavefunction ansatze, opening an interesting optimization-based pathway to identifying accurate yet efficient algorithms for molecular quantum chemistry.&lt;br&gt;&lt;br&gt;Supporting data for "Automated discovery of algorithms for molecular electronic structure calculations using physics-informed program synthesis”, including calculation data for diatomic molecules and alkane molecules. Both raw (unprocessed) and final (compiled) datasets are included.</dc:description>
          <dc:date>2026-03-04T00:00:00Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.82444/warw.33911563.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Dataset_for_Automated_discovery_of_algorithms_for_molecular_electronic_structure_calculations_using_physics-informed_program_synthesis_/33911563</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
