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Due to advances in high performance computing it is possible to parameterize a hydrodynamic problem and perform a computational study yielding\n                    <jats:inline-formula>\n                      <jats:tex-math>\n                        \n                      <\/jats:tex-math>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:mrow>\n                            <mml:mi class=\"MJX-tex-calligraphic\">O<\/mml:mi>\n                          <\/mml:mrow>\n                          <mml:mrow>\n                            <mml:mo>(<\/mml:mo>\n                            <mml:mtext>TB<\/mml:mtext>\n                            <mml:mo>)<\/mml:mo>\n                          <\/mml:mrow>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    of simulation state data. We present an interactive machine learning tool that can be used to compress, browse, and interpolate these large simulation datasets. This tool allows computational scientists and researchers to quickly visualize \u2018what-if\u2019 situations, perform sensitivity analyses, and optimize complex hydrodynamic experiments.\n                  <\/jats:p>","DOI":"10.1088\/2632-2153\/ad8daa","type":"journal-article","created":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T18:57:43Z","timestamp":1730401063000},"page":"045048","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine learning visualization tool for exploring parameterized hydrodynamics\n                    <sup>*<\/sup>"],"prefix":"10.1088","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0339-0668","authenticated-orcid":true,"given":"C F","family":"Jekel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D M","family":"Sterbentz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T M","family":"Stitt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6631-2566","authenticated-orcid":true,"given":"P","family":"Mocz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R N","family":"Rieben","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D A","family":"White","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6551-7439","authenticated-orcid":true,"given":"J L","family":"Belof","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2024,11,22]]},"reference":[{"key":"mlstad8daabib1","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1109\/SC.2014.40","article-title":"An image-based approach to extreme scale in situ visualization and analysis","author":"Ahrens","year":"2014"},{"key":"mlstad8daabib2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.99.053102","article-title":"Effects of the atwood number on the Richtmyer-Meshkov instability in elastic-plastic media","volume":"99","author":"Chen","year":"2019","journal-title":"Phys. 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