{"id":692,"date":"2026-02-09T00:04:00","date_gmt":"2026-02-09T00:04:00","guid":{"rendered":"https:\/\/samtari.com\/?p=692"},"modified":"2026-10-19T00:15:38","modified_gmt":"2026-10-19T00:15:38","slug":"new-paper-published-on-the-journal-of-physical-chemistry-letters","status":"publish","type":"post","link":"https:\/\/samtari.com\/?p=692","title":{"rendered":"New Paper Published on The Journal of Physical Chemistry Letters"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"520\" height=\"206\" src=\"https:\/\/samtari.com\/wp-content\/uploads\/2026\/10\/m_jz5c04083_0008.png\" alt=\"\" class=\"wp-image-693\" srcset=\"https:\/\/samtari.com\/wp-content\/uploads\/2026\/10\/m_jz5c04083_0008.png 520w, https:\/\/samtari.com\/wp-content\/uploads\/2026\/10\/m_jz5c04083_0008-300x119.png 300w\" sizes=\"(max-width: 520px) 100vw, 520px\" \/><\/figure>\n\n\n\n<p>I am pleased to share that our research paper, <strong>\u201cEfficient Monte Carlo Simulation of Faceted Nanoparticles Using Analytical Interaction Potentials,\u201d<\/strong> has been published in <em>The Journal of Physical Chemistry Letters<\/em>, a journal of the American Chemical Society (ACS).<\/p>\n\n\n\n<p>This work, conducted in collaboration with researchers from Duke University and Purdue University, introduces an efficient computational framework for studying the self-assembly of faceted nanoparticles.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">About the Research<\/h3>\n\n\n\n<p>Understanding how nanoparticles organize themselves into larger structures is important for designing advanced materials with tailored optical, electronic, and other functional properties. However, accurately simulating these processes can be computationally expensive, particularly when accounting for the complex interactions between nanoparticles of different shapes and orientations.<\/p>\n\n\n\n<p>In this study, we combined analytical van der Waals interaction potentials with Monte Carlo simulations to model nanoparticle self-assembly more efficiently. By incorporating virtual cluster moves, our framework captures collective particle motion and overcomes important sampling limitations.<\/p>\n\n\n\n<p>Our results demonstrate that this approach can reproduce realistic assembly structures while achieving computational speeds orders of magnitude faster than conventional atomistic and coarse-grained simulations.<\/p>\n\n\n\n<p>We also investigated how interparticle attractions influence the structural ordering of faceted nanoparticles, providing insights into the roles of energetic and entropic effects during self-assembly.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why It Matters<\/h3>\n\n\n\n<p>This research contributes to the development of faster and more accurate computational tools for understanding and predicting nanoscale material behavior. Such methods can help accelerate the exploration and design of self-assembling nanomaterials while reducing computational costs.<\/p>\n\n\n\n<p>I am grateful to my coauthors, \u015eafak \u00c7all\u0131o\u011flu, Yuanchuan Shao, Brian H. Lee, and Gaurav Arya, for their contributions and collaboration.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Publication Details<\/h3>\n\n\n\n<p><strong>Title:<\/strong> Efficient Monte Carlo Simulation of Faceted Nanoparticles Using Analytical Interaction Potentials<\/p>\n\n\n\n<p><strong>Authors:<\/strong> \u015eafak \u00c7all\u0131o\u011flu, Quanpeng Yang, Yuanchuan Shao, Brian H. Lee, and Gaurav Arya<\/p>\n\n\n\n<p><strong>Journal:<\/strong> The Journal of Physical Chemistry Letters<\/p>\n\n\n\n<p><strong>Year:<\/strong> 2026 | <strong>Volume:<\/strong> 17 | <strong>Issue:<\/strong> 7 | <strong>Pages:<\/strong> 2027\u20132036<\/p>\n\n\n\n<p><strong>Read the paper:<\/strong> <a href=\"https:\/\/doi.org\/10.1021\/acs.jpclett.5c04083\">https:\/\/doi.org\/10.1021\/acs.jpclett.5c04083<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I am pleased to share that our research paper, \u201cEfficient Monte Carlo Simulation of Faceted Nanoparticles Using Analytical Interaction Potentials,\u201d has been published in The<\/p>\n","protected":false},"author":1,"featured_media":693,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1,3],"tags":[],"_links":{"self":[{"href":"https:\/\/samtari.com\/index.php?rest_route=\/wp\/v2\/posts\/692"}],"collection":[{"href":"https:\/\/samtari.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/samtari.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/samtari.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/samtari.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=692"}],"version-history":[{"count":1,"href":"https:\/\/samtari.com\/index.php?rest_route=\/wp\/v2\/posts\/692\/revisions"}],"predecessor-version":[{"id":694,"href":"https:\/\/samtari.com\/index.php?rest_route=\/wp\/v2\/posts\/692\/revisions\/694"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/samtari.com\/index.php?rest_route=\/wp\/v2\/media\/693"}],"wp:attachment":[{"href":"https:\/\/samtari.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=692"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/samtari.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=692"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/samtari.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=692"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}