{"id":75015,"date":"2026-06-14T18:00:25","date_gmt":"2026-06-14T22:00:25","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=75015"},"modified":"2026-06-14T18:00:29","modified_gmt":"2026-06-14T22:00:29","slug":"whats-new-in-simcenter-flux-2026-1","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/whats-new-in-simcenter-flux-2026-1\/","title":{"rendered":"What&#8217;s new in Simcenter Flux 2026.1"},"content":{"rendered":"\n<p>Electromagnetic simulation plays a critical role in the development of electric machines, power electronics and other low-frequency electromagnetic devices. As electromagnetic models become larger and more complex and development cycles continue to shorten, engineers are expected to balance simulation accuracy, workflow efficiency and engineering productivity while supporting an increasingly connected simulation process.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.siemens.com\/en-us\/products\/simcenter\/electromagnetics-simulation\/flux\/\" data-type=\"link\" data-id=\"https:\/\/www.siemens.com\/en-us\/products\/simcenter\/electromagnetics-simulation\/flux\/\" target=\"_blank\" rel=\"noreferrer noopener\">Simcenter Flux<\/a> 2026.1 introduces new capabilities that help engineers accelerate electromagnetic simulations, simplify model creation and extend electromagnetic workflows across optimization, multiphysics and system-level engineering activities<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/support.sw.siemens.com\/en-US\/product\/224061313\/download\/PL20260205321732025\" target=\"_blank\" rel=\"noreferrer noopener\">Download Simcenter Flux 2026.1<\/a><\/div>\n<\/div>\n\n\n\n<p class=\"has-text-align-center\"><a href=\"https:\/\/www.youtube.com\/playlist?list=PL1m1vu8_quoB_ieAG9KrlqFLDurjNzrOD\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Getting started with Support Center<\/em><\/a><\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Accelerate electromagnetic simulations<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>As electromagnetic models continue to grow in size and complexity, engineers are constantly looking for ways to reduce simulation effort while maintaining accuracy. Simcenter Flux 2026.1 introduces several enhancements that accelerate low-frequency electromagnetic simulations through numerical innovations, while also providing greater flexibility during model preparation and modification.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>A major addition in this release is the extension of the Integral Method to transient magnetic simulations. By eliminating the need to mesh large surrounding air regions, engineers can significantly reduce model complexity and simulation effort while maintaining accurate representation of eddy-current and capacitive effects.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"687\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-1-1024x687.png\" alt=\"Comparison of finite element and Integral Method approaches for transient magnetic simulations, highlighting reduced meshing requirements and improved modeling efficiency.\" class=\"wp-image-75637\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-1-1024x687.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-1-600x403.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-1-768x516.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-1-1536x1031.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-1-900x604.png 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-1.png 1813w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 1. Comparison of finite element and Integral Method approaches for transient magnetic simulations<\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"691\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-2-1024x691.png\" alt=\"Example of non-conforming meshes used for conductor and parasitic extraction analyses with the Integral Method.\" class=\"wp-image-75638\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-2-1024x691.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-2-600x405.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-2-768x518.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-2-1536x1037.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-2-2048x1383.png 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-2-900x608.png 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 2. Example of non-conforming meshes for conductor and parasitic extraction analyses using the Integral Method<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>The Integral Method workflow is also enhanced through support for non-conforming meshes in conductor and parasitic extraction analyses. Individual components can now be meshed independently, simplifying geometry preparation and providing greater flexibility during model modifications.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Simcenter Flux 2026.1 also introduces access to selected magnetic material databases originating from <a href=\"https:\/\/www.siemens.com\/en-us\/products\/simcenter\/electromagnetics-simulation\/magnet\/\" target=\"_blank\" rel=\"noreferrer noopener\">Simcenter MAGNET<\/a>. By bringing valuable material knowledge into Simcenter Flux, this enhancement promotes greater consistency across low-frequency electromagnetic simulations and simplifies the reuse of validated material data across the Simcenter electromagnetic portfolio.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Enhance modeling productivity and user experience<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Simcenter Flux 2026.1 introduces more than 30 enhancements across low-frequency electromagnetic modeling workflows. Leveraging <a href=\"https:\/\/www.siemens.com\/en-us\/products\/simcenter\/simulation-modeling-visualization\/simlab\/\" target=\"_blank\" rel=\"noreferrer noopener\">Simcenter Simlab<\/a>, a multiphysics simulation platform, these improvements simplify geometry preparation, machine definition and model setup, helping engineers create electromagnetic models more efficiently.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"429\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-3-1024x429.png\" alt=\"Overview of productivity enhancements for low-frequency electromagnetic model preparation, setup and postprocessing.\" class=\"wp-image-75640\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-3-1024x429.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-3-600x251.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-3-768x322.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-3-1536x644.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-3-2048x858.png 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-3-900x377.png 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 3. Selected productivity enhancements across low-frequency electromagnetic modeling workflows<\/figcaption><\/figure>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>A major enhancement in this release is the expanded support for axial flux machine development. Engineers can rapidly create and evaluate parameterized axial flux machine models while performing electromagnetic, NVH, thermal and system-level analyses within a unified simulation environment.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/2500\/44aeb199-fcf1-46e7-b7bc-997e830277d2-en-US-video.webm\"><\/video><figcaption class=\"wp-element-caption\">Video 1. Rapid modeling and multiphysics evaluation of axial flux machines<\/figcaption><\/figure>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Another major addition is a new component-based workflow for radial machine assembly. Engineers can rapidly construct machine models using predefined and customizable components, reducing repetitive geometry preparation and promoting reuse of validated machine building blocks across projects.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/2500\/27b5d685-7e94-4f30-ac7b-077d432769f4-en-US-video.webm\"><\/video><figcaption class=\"wp-element-caption\">Video 2. Rapid modeling of radial electric machines using predefined and customizable components<\/figcaption><\/figure>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>For permanent magnet machines, model preparation is further simplified through automated magnet orientation propagation. Engineers can define a reference orientation and automatically apply it to the remaining magnets, reducing repetitive setup tasks and minimizing the risk of modeling errors.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/2500\/2fd84a20-f09c-4976-bc8f-b184e5f28b47-en-US-video.webm\"><\/video><figcaption class=\"wp-element-caption\">Video 3. Automated propagation of magnet orientations in permanent magnet machine models<\/figcaption><\/figure>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Together, these enhancements help engineers create low-frequency electromagnetic models more efficiently while improving support for advanced electric machine development workflows.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Extend electromagnetic models across engineering workflows<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Electromagnetic simulation is increasingly part of a broader engineering process. Beyond field analysis, electromagnetic models are often reused for design exploration, optimization and system-level studies. Simcenter Flux 2026.1 further strengthens connectivity across the Simcenter portfolio, enabling electromagnetic models and simulation data to support a wider range of engineering workflows.<\/p>\n\n\n\n<p>Engineers can now leverage <a href=\"https:\/\/www.siemens.com\/en-us\/products\/cad-cam-software\/\" target=\"_blank\" rel=\"noreferrer noopener\">NX<\/a> parametric geometry directly within electromagnetic simulation workflows, enabling associative geometry updates while preserving design intent and accelerating iteration cycles between CAD and simulation environments.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/2500\/319dc890-2590-45c7-b78e-5f8bce3fc374-en-US-video.webm\"><\/video><figcaption class=\"wp-element-caption\">Video 4. Reuse of NX parametric geometry within electromagnetic simulation workflows<\/figcaption><\/figure>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Connectivity with <a href=\"https:\/\/www.siemens.com\/en-us\/products\/simcenter\/integration-solutions\/heeds\/\" target=\"_blank\" rel=\"noreferrer noopener\">Simcenter HEEDS<\/a> enables automated design exploration and optimization studies, allowing engineers to investigate larger design spaces and identify high-performing designs more efficiently.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/2500\/f21d7340-3672-4c64-8ff7-a0d64b9ddfe4-en-US-video.webm\"><\/video><figcaption class=\"wp-element-caption\">Video 5. Export of electromagnetic models to Simcenter HEEDS for design exploration and optimization<\/figcaption><\/figure>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Enhanced reduced motor model workflows further extend the value of electromagnetic simulations. Support is now expanded to additional machine architectures, including axial flux, wound field and multiphase machines, while export capabilities enable efficient integration with <a href=\"https:\/\/www.siemens.com\/en-us\/products\/simcenter\/systems-simulation\/psim\/\" target=\"_blank\" rel=\"noreferrer noopener\">PSIM <\/a>or <a href=\"https:\/\/www.siemens.com\/en-us\/products\/simcenter\/systems-simulation\/amesim\/\" target=\"_blank\" rel=\"noreferrer noopener\">Simcenter Amesim<\/a> for system-level investigations.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/2500\/912fd845-424e-4a1c-bc59-1ccb2ae54528-en-US-video.webm\"><\/video><figcaption class=\"wp-element-caption\">Video 6. Expanded reduced motor model support for advanced electric machine architectures<\/figcaption><\/figure>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>By extending the use of electromagnetic models across the Simcenter portfolio, engineers can reuse simulation data more effectively throughout optimization, multiphysics and system-level engineering workflows.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Exploring new approaches to low-frequency electromagnetic simulation<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>In addition to enhancements across simulation performance, modeling and engineering workflows, Simcenter Flux 2026.1 also highlights emerging approaches that combine simulation, optimization and AI technologies for low-frequency electromagnetic applications.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>One example is the combination of Simcenter Flux, PSIM and <a href=\"https:\/\/www.siemens.com\/en-us\/products\/simcenter\/engineering-data-science-ai\/physicsai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Simcenter PhysicsAI<\/a> to create surrogate-model-based multiphysics workflows. By generating simulation data and training surrogate models, engineers can rapidly evaluate thermal and NVH responses while significantly reducing the computational cost associated with design exploration and optimization studies.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"695\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-4-1024x695.png\" alt=\"Workflow for generating PhysicsAI surrogate models from Flux and PSIM simulation data to predict thermal behavior and NVH responses under varying PWM operating conditions.\" class=\"wp-image-75642\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-4-1024x695.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-4-600x407.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-4-768x521.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-4-1536x1042.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-4-2048x1389.png 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux-Fig-4-900x611.png 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 4. Combined Simcenter Flux, PSIM and Simcenter PhysicsAI workflow for surrogate model generation<\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/2500\/462fe2e8-5ecc-40e3-894f-4f31795d9ba8-en-US-video.webm\"><\/video><figcaption class=\"wp-element-caption\">Video 7. Example of electric machine topology optimization combining electromagnetic and structural requirements<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>Another area being explored is magneto-mechanical topology optimization. By combining electromagnetic and structural simulations within a unified optimization process, engineers can simultaneously consider electromagnetic performance and mechanical feasibility at high speed, enabling the exploration of innovative designs that would be difficult to identify using traditional approaches.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Looking ahead<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>From numerical innovations and advanced machine modeling to optimization, system simulation and emerging AI-assisted technologies, Simcenter Flux 2026.1 continues to expand the role of low-frequency electromagnetic simulation across the product development process.<\/p>\n\n\n\n<p>By improving simulation performance, modeling productivity and engineering connectivity, Simcenter Flux helps engineers move more efficiently from concept exploration to engineering decision-making.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/docs.sw.siemens.com\/en-US\/doc\/224061313\/PL20260205321732025.pdfs.release_notes\" target=\"_blank\" rel=\"noreferrer noopener\">Browse the Full Release Notes for Simcenter Flux 2026.1<\/a><\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discover the latest enhancements in Simcenter Flux 2026.1, including accelerated electromagnetic simulations, improved modeling productivity, expanded engineering workflow connectivity and emerging approaches leveraging surrogate models and optimization.<\/p>\n","protected":false},"author":125097,"featured_media":75648,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[1],"tags":[18575,690,674,19769],"industry":[],"product":[64347],"coauthors":[64496,64497,64491,64049],"class_list":["post-75015","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-electric-machines","tag-electric-motor","tag-electromagnetic-simulation","tag-electromagnetics","product-simcenter-flux"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/06\/Flux.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/75015","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/users\/125097"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=75015"}],"version-history":[{"count":5,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/75015\/revisions"}],"predecessor-version":[{"id":75647,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/75015\/revisions\/75647"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/75648"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=75015"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=75015"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=75015"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=75015"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=75015"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=75015"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}