[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-32051":3,"doc-seo-32051":27},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"file_id":15,"file_url":16,"file_type":17,"file_size":18,"view_count":4,"is_deleted":4,"is_public":19,"is_downloadable":19,"audit_status":19,"page_count":20,"language":21,"language_code":22,"table_of_contents":23,"faqs":24,"seo_title":13,"seo_description":14,"update_tm":25,"read_time":26},32051,8796095461564,"Liam","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",6,"Technology","Compact Pixelated Printed Circuit Board-Based Bandpass Filter","Compact pixelated PCB bandpass filter research addresses inefficient microstrip space usage and the computational burden of full-wave EM optimization. The work integrates pixelation for joint topology and parameter inverse design, representing the conductor pattern as independently controllable pixels. A GA evolves the pixel matrix to generate manufacturable PCB layouts, while an EM surrogate model accelerates fitness evaluation. Top candidates are verified via full-wave EM simulations, shortening the design cycle.","cbCaikuv9I4wekGn","https://ap.wps.com/l/cbCaikuv9I4wekGn","pdf",8546248,1,8,"English","en","# Introduction\n## Joint topology–parameter optimization via pixelation\n## Inverse design workflow and optimization strategy\n## Competition requirements and scoring","[{\"question\":\"Why is microstrip space utilization a limitation in conventional RF circuit design?\",\"answer\":\"Conventional designs follow predefined geometric patterns, leaving gaps between microstrip lines underutilized. Attempts to improve space efficiency by bending lines add EM-coupling complexity that typical early schematic models may ignore.\"},{\"question\":\"How does the pixelation technique change topology and parameter optimization?\",\"answer\":\"Pixelation bypasses separate schematic stages by discretizing the entire conductor pattern. Each pixel location is independently controllable, so both topology and geometry are optimized jointly in a high-dimensional design space.\"},{\"question\":\"What role do EM surrogate models play in the inverse design workflow?\",\"answer\":\"EM surrogate models are neural networks trained on simulation data to approximate EM responses. They greatly reduce computation time for fitness evaluation, enabling rapid search, while final candidates are still validated using full-wave EM simulation.\"}]",1780693396,20,{"code":4,"msg":28,"data":29},"ok",{"site_id":30,"language":22,"slug":31,"title":13,"keywords":32,"description":14,"schema_data":33,"social_meta":84,"head_meta":86,"extra_data":88,"updated_unix":25},105,"compact-pixelated-printed-circuit-board-based-bandpass-filter","",{"@graph":34,"@context":83},[35,52,66],{"@type":36,"itemListElement":37},"BreadcrumbList",[38,42,46,49],{"item":39,"name":40,"@type":41,"position":19},"https://docshare.wps.com","Home","ListItem",{"item":43,"name":44,"@type":41,"position":45},"https://docshare.wps.com/document/","Document",2,{"item":47,"name":12,"@type":41,"position":48},"https://docshare.wps.com/document/technology/",3,{"item":50,"name":13,"@type":41,"position":51},"https://docshare.wps.com/document/compact-pixelated-printed-circuit-board-based-bandpass-filter/32051/",4,{"url":50,"name":13,"@type":53,"author":54,"headline":13,"publisher":56,"fileFormat":59,"description":14,"dateModified":60,"datePublished":60,"encodingFormat":59,"isAccessibleForFree":61,"interactionStatistic":62},"DigitalDocument",{"name":9,"@type":55},"Person",{"url":39,"name":57,"@type":58},"DocShare","Organization","application/pdf","2026-06-05",true,{"@type":63,"interactionType":64,"userInteractionCount":4},"InteractionCounter",{"@type":65},"ViewAction",{"@type":67,"mainEntity":68},"FAQPage",[69,75,79],{"name":70,"@type":71,"acceptedAnswer":72},"Why is microstrip space utilization a limitation in conventional RF circuit design?","Question",{"text":73,"@type":74},"Conventional designs follow predefined geometric patterns, leaving gaps between microstrip lines underutilized. Attempts to improve space efficiency by bending lines add EM-coupling complexity that typical early schematic models may ignore.","Answer",{"name":76,"@type":71,"acceptedAnswer":77},"How does the pixelation technique change topology and parameter optimization?",{"text":78,"@type":74},"Pixelation bypasses separate schematic stages by discretizing the entire conductor pattern. Each pixel location is independently controllable, so both topology and geometry are optimized jointly in a high-dimensional design space.",{"name":80,"@type":71,"acceptedAnswer":81},"What role do EM surrogate models play in the inverse design workflow?",{"text":82,"@type":74},"EM surrogate models are neural networks trained on simulation data to approximate EM responses. They greatly reduce computation time for fitness evaluation, enabling rapid search, while final candidates are still validated using full-wave EM simulation.","https://schema.org",{"og:url":50,"og:type":85,"og:title":13,"og:site_name":57,"og:description":14},"article",{"robots":87,"canonical":50},"index,follow",{"doc_id":7,"site_id":30}]