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        <datestamp>2026-09-23T22:27:28Z</datestamp>
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          <dc:title>Computing and Bounding Equilibrium Concentrations in Athermic Chemical Systems</dc:title>
          <dc:creator>Akef, Hamidreza</dc:creator>
          <dc:creator>Hhan, Minki</dc:creator>
          <dc:creator>Soloveichik, David</dc:creator>
          <dc:subject>Equilibrium concentrations</dc:subject>
          <dc:subject>Thermodynamic Binding Networks</dc:subject>
          <dc:subject>Monomer-polymer model</dc:subject>
          <dc:subject>Detailed balance</dc:subject>
          <dc:description>Computing equilibrium concentrations of molecular complexes is generally analytically intractable and requires numerical approaches. In this work we focus on the polymer-monomer level, where indivisible molecules (monomers) combine to form complexes (polymers). Rather than employing free-energy parameters for each polymer, we focus on the athermic setting where all interactions preserve enthalpy. This setting aligns with the strongly bonded (domain-based) regime in DNA nanotechnology when strands can bind in different ways, but always with maximum overall bonding - and is consistent with the saturated configurations in the Thermodynamic Binding Networks (TBNs) model. Within this context, we develop an iterative algorithm for assigning polymer concentrations to satisfy detailed-balance, where on-target (desired) polymers are in high concentrations and off-target (undesired) polymers are in low. Even if not directly executed, our algorithm provides effective insights into upper bounds on concentration of off-target polymers, connecting combinatorial arguments about discrete configurations such as those in the TBN model to real-valued concentrations. We conclude with an application of our method to decreasing leak in DNA logic and signal propagation. Our results offer a new framework for design and verification of equilibrium concentrations when configurations are distinguished by entropic forces.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Hamidreza Akef and Minki Hhan and David Soloveichik</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 347, 31st International Conference on DNA Computing and Molecular Programming (DNA 31) (2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.DNA.31.10</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-238595</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DNA.31.10</dc:identifier>
          <dc:language>eng</dc:language>
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