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<!--Generated by Site-Server v@build.version@ (http://www.squarespace.com) on Wed, 03 Dec 2025 04:19:35 GMT
--><rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://www.rssboard.org/media-rss" version="2.0"><channel><title>Blog - Kebotix</title><link>https://www.kebotix.com/latest/</link><lastBuildDate>Tue, 18 Apr 2023 20:53:14 +0000</lastBuildDate><language>en-US</language><generator>Site-Server v@build.version@ (http://www.squarespace.com)</generator><description><![CDATA[]]></description><item><title>Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs)</title><category>Science</category><dc:creator>Dennis Sheberla</dc:creator><pubDate>Thu, 26 Jan 2023 20:00:00 +0000</pubDate><link>https://ieeexplore.ieee.org/abstract/document/10020568</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:643f0089f851374cf8d565cb</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/exploring-pre-trained-language-models-to-build-knowledge-graph-for-metal-organic-frameworks-mofs">Permalink</a><p>]]></description></item><item><title>Knowledge Graph-Empowered Materials Discovery</title><category>Science</category><dc:creator>Dennis Sheberla</dc:creator><pubDate>Thu, 13 Jan 2022 20:00:00 +0000</pubDate><link>https://ieeexplore.ieee.org/abstract/document/9671503</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:643f02ec6c73383c768721f0</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/knowledge-graph-empowered-materials-discovery">Permalink</a><p>]]></description></item><item><title>Cross-Platform Bayesian Optimization System for Autonomous Biological Assay Development</title><category>Science</category><dc:creator>Dennis Sheberla</dc:creator><pubDate>Tue, 23 Nov 2021 19:44:00 +0000</pubDate><link>https://journals.sagepub.com/doi/full/10.1177/24726303211053782</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:643ee505a128cb665ca921d5</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/cross-platform-bayesian-optimization-system-for-autonomous-biological-assay-development">Permalink</a><p>]]></description></item><item><title>Text to insight: Accelerating organic materials knowledge extraction via deep learning</title><category>Science</category><dc:creator>Dennis Sheberla</dc:creator><pubDate>Wed, 13 Oct 2021 20:00:00 +0000</pubDate><link>https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/pra2.497</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:643f033abe738648604bcdf4</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/text-to-insight-accelerating-organic-materials-knowledge-extraction-via-deep-learning">Permalink</a><p>]]></description></item><item><title>Automatic chemical design using a data-driven continuous representation of molecules, ACS Cent. Sci. 2018, 4, 268–276</title><category>Science</category><dc:creator>Guest User</dc:creator><pubDate>Sun, 22 Aug 2021 23:11:00 +0000</pubDate><link>https://pubs.acs.org/doi/abs/10.1021/acscentsci.7b00572</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:61315a29df64cb1212c6a268</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/automatic-chemical-design-using-a-data-driven-continuous-representation-of-molecules">Permalink</a><p>]]></description></item><item><title>Mapping forbidden emission to structure in self-assembled organic nanoparticles, J. Am. Chem. Soc. 2018, 140, 15827–15841</title><category>Science</category><dc:creator>Guest User</dc:creator><pubDate>Sat, 21 Aug 2021 23:08:00 +0000</pubDate><link>https://doi.org/10.1021/jacs.8b09149</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:6131597dc35ee77c071f766a</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/mapping-forbidden-emission-to-structure-in-self-assembled-organic-nanoparticles">Permalink</a><p>]]></description></item><item><title>Exploring electronic structure and order in polymers via single-particle microresonator spectroscopy, Nano Letters 2018, 18, 1600–1607</title><category>Science</category><dc:creator>Guest User</dc:creator><pubDate>Fri, 20 Aug 2021 23:01:00 +0000</pubDate><link>https://doi.org/10.1021/acs.nanolett.7b04211</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:613157b9ee134a0012619492</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/exploring-electronic-structure-and-order-in-polymers-via-single-particle-microresonator-spectroscopy">Permalink</a><p>]]></description></item><item><title>Autonomous  Optimization</title><category>Case Study</category><dc:creator>Guest User</dc:creator><pubDate>Fri, 20 Aug 2021 05:50:42 +0000</pubDate><link>https://www.kebotix.com/latest/closed-loop-discovery-platform-integration-is-needed-for-artificial-intelligence-to-make-an-impact-in-drug-discovery</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:611f429da19b566d75151e0f</guid><description><![CDATA[For the National Center for Advancing Translational Sciences (NCATS), it’s 
all about delivering new...]]></description><content:encoded><![CDATA[<p class=""><a href="https://www.kebotix.com/s/AutoOptCaseStudy_1.pdf">Download PDF</a></p>]]></content:encoded></item><item><title>High-Throughput  Virtual Screening</title><category>Case Study</category><dc:creator>Guest User</dc:creator><pubDate>Fri, 20 Aug 2021 05:49:59 +0000</pubDate><link>https://www.kebotix.com/latest/high-throughput-virtual-screening</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:611f426488cd5f7fc1a038dc</guid><description><![CDATA[A virtual study combining deep learning, domain knowledge and quantum 
chemistry identified new...]]></description><content:encoded><![CDATA[<p class=""><a href="https://www.kebotix.com/s/HTVSCaseStudy_1.pdf">Download PDF</a></p>]]></content:encoded></item><item><title>Machine learning for quantum dynamics: deep learning of excitation energy transfer properties, Chem. Sci., 2017, 8, 8419–8426</title><category>Science</category><dc:creator></dc:creator><pubDate>Fri, 13 Aug 2021 22:43:00 +0000</pubDate><link>https://pubs.rsc.org/hy/content/articlehtml/2017/sc/c7sc03542j</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:6131532b7ec0cc4252613039</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/machine-learning-for-quantum-dynamics-deep-learning-of-excitation-energy-transfer-properties">Permalink</a><p>]]></description></item><item><title>High Electrical Conductivity in Ni3(2,3,6,7,10,11-hexaiminotriphenylene)2, a Semiconducting Metal–Organic Graphene Analogue, J. Am. Chem. Soc. 2014, 136, 8859–8862</title><category>Science</category><dc:creator>Guest User</dc:creator><pubDate>Thu, 12 Aug 2021 14:58:48 +0000</pubDate><link>https://doi.org/10.1021/ja502765n</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:611536ed30b23361bf005545</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/high-electrical-conductivity-in-ni323671011-hexaiminotriphenylene2-a-semiconducting-metalorganic-graphene-analogue">Permalink</a><p>]]></description></item><item><title>High-performance solution of hierarchical equations of motions for studying energy-transfer in light-harvesting complexes, J. Chem. Theory Comput. 2011, 7, 2166–2174</title><category>Science</category><dc:creator></dc:creator><pubDate>Thu, 12 Aug 2021 14:53:40 +0000</pubDate><link>https://pubs.acs.org/doi/abs/10.1021/ct200126d</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:611535d8e1ca6f49bbbb294f</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/high-performance-solution-of-hierarchical-equations-of-motions-for-studyingenergy-transfer-in-light-harvesting-complexes">Permalink</a><p>]]></description></item><item><title>Structure-Function Relationships</title><category>Case Study</category><dc:creator>Guest User</dc:creator><pubDate>Wed, 11 Aug 2021 02:25:57 +0000</pubDate><link>https://www.kebotix.com/latest/structure-function-relationships</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:61133507b9a8e778cd581aae</guid><description><![CDATA[By partnering on the discovery of new lubricants compatible with 
next-generation refrigerants]]></description><content:encoded><![CDATA[<p class=""><a href="https://www.kebotix.com/s/LubricantCaseStudy.pdf" target="">Download PDF</a></p>]]></content:encoded></item><item><title>Room-Temperature Phosphorescence and Low-Energy Induced Direct Triplet Excitation of Alq3 Engineered Crystals, J. Phys. Chem. Lett. 2020, 11, 9364–9370</title><category>Science</category><dc:creator></dc:creator><pubDate>Tue, 10 Aug 2021 23:43:48 +0000</pubDate><link>https://www.kebotix.com/latest/room-temperature-phosphorescence-and-low-energy-induced-direct-triplet-excitation-of-alq3-engineered-crystals</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:61130eae68fd8d6659e501c7</guid><description><![CDATA[]]></description></item><item><title>Autonomous experimentation systems for materials development: A community perspective</title><category>Science</category><dc:creator></dc:creator><pubDate>Mon, 26 Jul 2021 20:30:00 +0000</pubDate><link>https://www.sciencedirect.com/science/article/pii/S2590238521003064</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:643efde0c074ed31da026b67</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/autonomous-experimentation-systems-for-materials-development-a-community-perspective">Permalink</a><p>]]></description></item><item><title>From absorption spectra to charge transfer in nanoaggregates of oligomers with machine learning, ACS Nano 2020, 14, 6589–6598</title><category>Science</category><dc:creator>Guest User</dc:creator><pubDate>Mon, 27 Apr 2020 20:00:00 +0000</pubDate><link>https://doi.org/10.1021/acsnano.0c00384</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:611322456fdf39727e8927d0</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/from-absorption-spectra-to-charge-transfer-in-nanoaggregates-of-oligomers-with-machine-learning">Permalink</a><p>]]></description></item><item><title>Closed-loop discovery platform integration is needed for artificial intelligence to make an impact in drug discovery</title><category>Science</category><dc:creator></dc:creator><pubDate>Fri, 29 Nov 2019 20:00:00 +0000</pubDate><link>https://www.tandfonline.com/doi/full/10.1080/17460441.2019.1546690</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:61315e42157519128fb11ac8</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/closed-loop-discovery-platform-integration-is-needed-for-artificial-intelligence-to-make-an-impact-in-drug-discovery-1">Permalink</a><p>]]></description></item><item><title>Discovery of blue singlet exciton fission molecules via a high-throughput virtual screening and experimental approach, J. Chem. Phys. 2019, 151, 121102</title><category>Science</category><dc:creator></dc:creator><pubDate>Tue, 24 Sep 2019 20:00:00 +0000</pubDate><link>https://aip.scitation.org/doi/full/10.1063/1.5114789</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:616f2633bef41a002d8bf971</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/discovery-of-blue-singlet-exciton-fission-molecules-via-a-high-throughput-virtual-screening-and-experimental-approach-j-chem-phys-2019-151-121102">Permalink</a><p>]]></description></item><item><title>Autonomous Molecular Design: Then and Now</title><category>Science</category><dc:creator></dc:creator><pubDate>Mon, 25 Mar 2019 20:00:00 +0000</pubDate><link>https://pubs.acs.org/doi/abs/10.1021/acsami.9b01226</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:61315d6d5c8bdd7426a4f00a</guid><description><![CDATA[ACS Appl. Mater. Interfaces 2019, 11, 28, 24825–24836]]></description><content:encoded><![CDATA[<p><a href="https://www.kebotix.com/latest/autonomous-molecular-design-then-and-now">Permalink</a><p>]]></content:encoded></item><item><title>Phoenics: A Bayesian Optimizer for Chemistry, ACS Cent. Sci. 2018, 4, 1134–1145</title><category>Science</category><dc:creator></dc:creator><pubDate>Tue, 14 Aug 2018 20:00:00 +0000</pubDate><link>https://pubs.acs.org/doi/abs/10.1021/acscentsci.8b00307</link><guid isPermaLink="false">609a0d4e998fff7e1ca5f943:611308276a7bd2503b97e4c6:61315ca5c8d8905221948c0f</guid><description><![CDATA[<p><a href="https://www.kebotix.com/latest/phoenics-a-bayesian-optimizer-for-chemistry">Permalink</a><p>]]></description></item></channel></rss>