{"id":1592,"date":"2016-06-20T10:46:59","date_gmt":"2016-06-20T15:46:59","guid":{"rendered":"http:\/\/hachmannlab.cbe.buffalo.edu\/?page_id=1592"},"modified":"2016-07-05T16:00:01","modified_gmt":"2016-07-05T21:00:01","slug":"2016-06-23-magyar-electrons-ions-warm-dense-matter","status":"publish","type":"page","link":"https:\/\/hachmannlab.cbe.buffalo.edu\/index.php\/events\/seminar-calender\/2016-06-23-magyar-electrons-ions-warm-dense-matter\/","title":{"rendered":"2016-06-23: Magyar &#8211; Predictive Modeling of Electrons and Ions in Warm Dense Matter"},"content":{"rendered":"<h3>Predictive Modeling of Electrons and Ions in Warm Dense Matter<\/h3>\n<h4>Dr. Rudolph J. Magyar<\/h4>\n<h4>Center for Computing Research, Sandia National Laboratory, Albuquerque (NM) <\/h4>\n<p style=\"text-align: justify;\">\nWarm dense matter (WDM) is the state of matter intermediate between condensed matter and plasma that occurs at several MegaPascals of pressure and 1000s of Kelvin in temperature. Its properties  are  important  for  material models  used  in  planetary  science  and  inertial  confinement fusion. Computing  the  properties  of  WDM  is  difficult  because  Fermi  degeneracy  and  quantum  orbital effects are important under these intense pressures, and experiments are often challenging and expensive. Density functional theory is a remarkably predictive tool in this regime providing information  that  has  been  used  to  improve  many  equation  of state  tables  and  other  models. However, the full promise of density functional theory is not fully realized as additional response properties can  also  be  computed  using  time-dependent  density functional  theory  (TDDFT).\n<\/p>\n<p style=\"text-align: justify;\">\nWe describe several applications of DFT to warm dense matter and explain on-going work to develop a robust TDDFT for warm dense matter. In particular, we discuss the need to address electron-ion energy transfer within a DFT-based formalism.\n<\/p>\n<p style=\"text-align: justify;\">\nSandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy&#8217;s National Security Administration under contract DE-AC04-94AL85000.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Predictive Modeling of Electrons and Ions in Warm Dense Matter Dr. Rudolph J. Magyar Center for Computing Research, Sandia National Laboratory, Albuquerque (NM) Warm dense matter (WDM) is the state of matter intermediate between condensed matter and plasma that occurs at several MegaPascals of pressure and 1000s of Kelvin in temperature. Its properties are important for material models used in planetary science and inertial confinement fusion. Computing the properties of WDM is difficult because Fermi degeneracy and quantum orbital effects are important under these intense pressures, and experiments are often challenging and expensive. Density functional theory is a remarkably predictive tool in this regime providing information that has been used to improve many equation of state tables and other models. However, the full promise of density functional theory is not fully realized as additional response properties can also be computed using time-dependent density functional theory (TDDFT). We describe several applications of DFT to warm dense matter and explain on-going work to develop a robust TDDFT for warm dense matter. In particular, we discuss the need to address electron-ion energy transfer within a DFT-based formalism. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy&#8217;s National Security Administration under contract DE-AC04-94AL85000.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":443,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1592","page","type-page","status-publish","hentry","entry","post-inner"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/hachmannlab.cbe.buffalo.edu\/index.php\/wp-json\/wp\/v2\/pages\/1592","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hachmannlab.cbe.buffalo.edu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hachmannlab.cbe.buffalo.edu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hachmannlab.cbe.buffalo.edu\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hachmannlab.cbe.buffalo.edu\/index.php\/wp-json\/wp\/v2\/comments?post=1592"}],"version-history":[{"count":0,"href":"https:\/\/hachmannlab.cbe.buffalo.edu\/index.php\/wp-json\/wp\/v2\/pages\/1592\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/hachmannlab.cbe.buffalo.edu\/index.php\/wp-json\/wp\/v2\/pages\/443"}],"wp:attachment":[{"href":"https:\/\/hachmannlab.cbe.buffalo.edu\/index.php\/wp-json\/wp\/v2\/media?parent=1592"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}