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  <responseDate>2026-06-12T03:12:11Z</responseDate>
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        <identifier>oai:materialscloud.org:skbnr-9wx61</identifier>
        <datestamp>2026-03-12T15:14:57Z</datestamp>
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          <dc:contributor>Turlo, Vladyslav</dc:contributor>
          <dc:creator>Hu, Yang</dc:creator>
          <dc:creator>Sklenard, Benoit</dc:creator>
          <dc:creator>Vels, Wouter</dc:creator>
          <dc:creator>Romanyuk, Yaroslav</dc:creator>
          <dc:creator>Turlo, Vladyslav</dc:creator>
          <dc:date>2026-03-12</dc:date>
          <dc:description>&amp;lt;p&amp;gt;Photothermal (photonic) sintering crystallizes as-deposited amorphous LiCoO2 (LCO) cathodes for solid-state thin-film batteries using millisecond, surface-localized heating. However,&amp;nbsp;process design often relies on 1D models with phase-averaged, temperature-independent properties, which can mispredict peak temperatures and thermal damage margins. Here we develop a&amp;nbsp;multiscale, data-driven framework that provides phase- and grain-size&amp;ndash;resolved thermophysical&amp;nbsp;inputs for stoichiometric LCO. We train an Allegro neural network potential with near-ab initio&amp;nbsp;accuracy, enabling Green&amp;ndash;Kubo calculations of thermal conductivity for crystalline and amorphous phases. The low, weakly density-dependent conductivity of amorphous LCO motivates&amp;nbsp;its use as an effective intergranular phase in a thin-interface model that reproduces observed&amp;nbsp;grain-size&amp;ndash;dependent thermal transport. Combined with measured wavelength-resolved optical properties in 1D multiphysics simulations, we show amorphous LCO absorbs more strongly&amp;nbsp;and reaches higher peak temperatures than crystalline LCO; thus crystalline, constant-property&amp;nbsp;models systematically overestimate safe operating windows.&amp;lt;/p&amp;gt;</dc:description>
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          <dc:identifier>https://doi.org/10.24435/materialscloud:3e-w9</dc:identifier>
          <dc:identifier>oai:materialscloud.org:skbnr-9wx61</dc:identifier>
          <dc:identifier>mcid:2026.59</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:publisher>Materials Cloud</dc:publisher>
          <dc:relation>https://archive.materialscloud.org/communities/mcarchive</dc:relation>
          <dc:relation>https://doi.org/10.24435/materialscloud:ch-9k</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>molecular dynamics</dc:subject>
          <dc:subject>neural network potential</dc:subject>
          <dc:subject>thermal conductivity</dc:subject>
          <dc:subject>heat transfer</dc:subject>
          <dc:subject>photonic sintering</dc:subject>
          <dc:subject>LiCoO2</dc:subject>
          <dc:subject>MARVEL/P1</dc:subject>
          <dc:title>Critical role of phase-dependent properties in modeling photothermal sintering of LiCoO2 cathodes</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
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