{"id":10451,"date":"2013-09-04T00:06:38","date_gmt":"2013-09-03T21:06:38","guid":{"rendered":"http:\/\/hgpu.org\/?p=10451"},"modified":"2013-09-04T00:06:38","modified_gmt":"2013-09-03T21:06:38","slug":"the-discrete-dipole-approximation-code-ddscat-c-features-limitations-and-plans","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=10451","title":{"rendered":"The discrete dipole approximation code DDscat.C++: features, limitations and plans"},"content":{"rendered":"<p>We present a new freely available open-source C++ software for numerical solution of the electromagnetic waves absorption and scattering problems within the Discrete Dipole Approximation paradigm. The code is based upon the famous and free Fortan-90 code DDSCAT by B. Draine and P. Flatau. Started as a teaching project, the presented code DDscat.C++ differs from the parent code DDSCAT with a number of features, essential for C++ but quite seldom in Fortran. This article introduces the new code, explains its features, presents timing information and some plans for further development.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a new freely available open-source C++ software for numerical solution of the electromagnetic waves absorption and scattering problems within the Discrete Dipole Approximation paradigm. The code is based upon the famous and free Fortan-90 code DDSCAT by B. Draine and P. Flatau. Started as a teaching project, the presented code DDscat.C++ differs from [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[96,89,3],"tags":[1794,14,989,20,253,176],"class_list":["post-10451","post","type-post","status-publish","format-standard","hentry","category-astrophysics","category-nvidia-cuda","category-paper","tag-astrophysics","tag-cuda","tag-fortran","tag-nvidia","tag-nvidia-geforce-gtx-260","tag-package"],"views":2852,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10451","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10451"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10451\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10451"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10451"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10451"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}