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              <text>Intelligent approach to automate a system for simulation of nanomaterials</text>
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              <text>Nanomaterial composites are generally found to have great thermal properties and hence have witnessed an increasing demand in the recent years for manufacturing of efficient miniature electronic devices. The process of finding the right composites that exhibit the desired properties is a rather tedious task involving a lot of trial and error in the current scenario. This paper proposes a methodology to digitize and automate this entire process by administering certain efficient practices of assessing the properties of nanomaterial like Coarse Grained Molecular Dynamics thus resulting in faster simulations.   2023 Author(s).</text>
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              <text>Jenson J.; Goswami M.; Sharman V.</text>
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              <text>AIP Conference Proceedings, Vol-2690</text>
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              <text>American Institute of Physics Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1063/5.0119410" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0119410&lt;/a&gt;
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              <text>All Open Access; Bronze Open Access</text>
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              <text>ISSN: 0094243X; ISBN: 978-073544334-1</text>
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              <text>Jenson J., CHRIST Deemed to Be University, Bengaluru, India; Goswami M., CHRIST Deemed to Be University, Bengaluru, India; Sharman V., CHRIST Deemed to Be University, Bengaluru, India</text>
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