{"id":226495,"date":"2024-07-18T12:51:16","date_gmt":"2024-07-18T10:51:16","guid":{"rendered":"http:\/\/cimne.local\/credible-high-fidelity-and-data-driven-models\/"},"modified":"2026-03-05T15:06:42","modified_gmt":"2026-03-05T14:06:42","slug":"models-predictius-alta-fidelitat-fonamentats-en-dades","status":"publish","type":"page","link":"https:\/\/cimne.com\/ca\/recerca\/clusters-de-recerca\/models-predictius-alta-fidelitat-fonamentats-en-dades\/","title":{"rendered":"Models predictius d\u2019alta fidelitat fonamentats en dades"},"content":{"rendered":"

[et_pb_section fb_built=”1″ disabled_on=”off|off|off” admin_label=”Intro desktop” module_id=”first-section” _builder_version=”4.27.3″ positioning=”none” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” border_width_all=”1px” border_color_all=”#d9d9d9″ border_width_top=”1px” border_color_top=”#d9d9d9″ border_width_right=”1px” border_color_right=”#d9d9d9″ border_width_left=”1px” border_color_left=”#d9d9d9″ collapsed=”off” global_colors_info=”{}”][et_pb_row column_structure=”2_3,1_3″ admin_label=”Row – Customized” _builder_version=”4.27.5″ _module_preset=”c7c24b71-68f1-4ba2-bc79-49dcbcce5ea1″ custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” custom_css_main_element=”display: flex;||align-items: center;” custom_css_free_form=”\/* ESTILOS MODIFICADOES EN ELEMENTS *\/||\/* Main element:|| -display: flex;|| -align-items: center;||*\/” global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.27.5″ _module_preset=”56e57fde-4561-4cf6-a771-0a733a7201b1″ custom_padding=”0px|3%||3%|false|true” custom_padding_tablet=”0px|3%||3%|false|true” custom_padding_phone=”0px|3%||3%|false|true” custom_padding_last_edited=”on|phone” border_width_right=”1px” border_color_right=”#d9d9d9″ border_width_right_tablet=”0px” border_width_right_phone=”0px” border_width_right_last_edited=”on|phone” global_colors_info=”{}”][et_pb_divider color=”#004996″ divider_position=”center” admin_label=”Divider” _builder_version=”4.27.0″ _module_preset=”default” width=”85px” module_alignment=”left” custom_margin=”||0px||false|false” global_colors_info=”{}”][\/et_pb_divider][et_pb_text admin_label=”Subtitle” _builder_version=”4.27.5″ _module_preset=”0cd9f80c-570e-4179-9fd1-d5366dd9bb29″ global_colors_info=”{}”]<\/p>\n

Cl\u00faster de recerca<\/p>\n

[\/et_pb_text][et_pb_heading title=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF90aXRsZSIsInNldHRpbmdzIjp7ImJlZm9yZSI6IiIsImFmdGVyIjoiIn19@” admin_label=”H1″ _builder_version=”4.27.5″ _dynamic_attributes=”title” _module_preset=”4c5ef66f-50cd-42c5-b88c-a74fdcea313a” global_colors_info=”{}”][\/et_pb_heading][et_pb_text admin_label=”Title” _builder_version=”4.27.5″ _module_preset=”6d55416f-9dec-40a9-9718-5879084be1a8″ global_colors_info=”{}”]<\/p>\n

Persona de contacte<\/p>\n

[\/et_pb_text][et_pb_text admin_label=”Contact point” _builder_version=”4.27.5″ _module_preset=”f199e95e-376a-4f66-b51b-482255312542″ global_colors_info=”{}”]<\/p>\n

Matteo Giacomini<\/p>\n

[\/et_pb_text][et_pb_text admin_label=”Title” _builder_version=”4.27.5″ _module_preset=”6d55416f-9dec-40a9-9718-5879084be1a8″ global_colors_info=”{}”]<\/p>\n

L\u00edders acad\u00e8mics<\/p>\n

[\/et_pb_text][et_pb_text admin_label=”Academic Leaders” _builder_version=”4.27.6″ _module_preset=”f199e95e-376a-4f66-b51b-482255312542″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Pedro D\u00edez, Alberto Garcia, Matteo Giacomini, Antonio Huerta, Ivan Markovsky, Josep Sarrate, Sergio Zlotnik<\/p>\n

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title_text_color__hover=”#004996″][\/et_pb_heading][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.0″ _module_preset=”default” custom_padding=”20px|3%||0px|false|false” custom_padding_tablet=”50px|0%|||false|false” custom_padding_phone=”50px||||false|false” custom_padding_last_edited=”off|desktop” border_width_right_tablet=”0px” border_width_right_phone=”0px” border_width_right_last_edited=”on|phone” global_colors_info=”{}”][et_pb_heading title=”Recerca” admin_label=”Research” module_id=”research-item” module_class=” tab-item” _builder_version=”4.27.4″ _module_preset=”default” title_level=”h6″ title_font=”Lora|600|on||||||” title_text_align=”center” title_text_color=”#444444″ title_font_size=”1.1rem” title_line_height=”1.5rem” width=”100%” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” custom_css_main_element=”padding-bottom: 16px;” locked=”off” global_colors_info=”{}” background__hover_enabled=”off|desktop” 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_module_preset=”c7c24b71-68f1-4ba2-bc79-49dcbcce5ea1″ custom_margin=”|0px||0px|false|false” custom_padding=”50px|0px|50px|0px|true|false” collapsed=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.0″ _module_preset=”56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” text_text_color=”#004996″ text_font_size=”1.5rem” text_line_height=”1.8rem” width=”50%” width_tablet=”100%” width_phone=”100%” width_last_edited=”on|desktop” custom_margin=”||||true|false” global_colors_info=”{}”]<\/p>\n

Aquest cl\u00faster de recerca desenvolupa models matem\u00e0tics i computacionals que integren la comprensi\u00f3 f\u00edsica amb dades de simulacions i experiments, avan\u00e7ant t\u00e8cniques de modelitzaci\u00f3 subrogada per a l’optimitzaci\u00f3, problemes inversos i quantificaci\u00f3 d’incertesa en aplicacions d’enginyeria.<\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”1px Line Row” _builder_version=”4.27.4″ _module_preset=”default” width=”100%” max_width=”2500px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” collapsed=”on” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

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[\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.27.4″ _module_preset=”c7c24b71-68f1-4ba2-bc79-49dcbcce5ea1″ custom_margin=”|0px||0px|false|false” custom_padding=”50px|0px|50px|0px|false|false” collapsed=”off” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.27.0″ _module_preset=”56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=”{}”][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.0″ _module_preset=”56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

El cl\u00faster de recerca Credible High-Fidelity and Data-Driven Models de CIMNE desenvolupa enfocaments matem\u00e0tics i computacionals innovadors que avancen capacitats quantitatives i predictives en ci\u00e8ncia i enginyeria. El cl\u00faster integra models f\u00edsics rigorosos amb fonts de dades riques de simulacions num\u00e8riques, experiments de laboratori i observacions del m\u00f3n real per crear marcs predictius robustos.<\/p>\n

<\/p>\n

Un focus central del cl\u00faster \u00e9s avan\u00e7ar en l’estat de la t\u00e8cnica en la modelitzaci\u00f3 de fen\u00f2mens complexos sorgits en la producci\u00f3 industrial i el desenvolupament sostenible. Aix\u00f2 s’aconsegueix mitjan\u00e7ant la formulaci\u00f3 de models basats en equacions diferencials parcials i descripcions basades en dades i mitjan\u00e7ant el desenvolupament de nous m\u00e8todes computacionals per a la seva simulaci\u00f3 num\u00e8rica. Aix\u00f2 inclou el disseny de nous paradigmes per a la modelitzaci\u00f3 de subrogats, com el Direct Data-Driven Design (D4), les estrat\u00e8gies de multifidelitat que identifiquen de manera adaptativa instant\u00e0nies adequades, i els m\u00e8todes per avaluar i controlar la precisi\u00f3 i robustesa dels subrogats al soroll i la incertesa, alhora que es garanteix la consci\u00e8ncia del domini.<\/p>\n

<\/p>\n

El cl\u00faster aplica aquestes t\u00e8cniques avan\u00e7ades de modelitzaci\u00f3 als reptes d’optimitzaci\u00f3 (incloent multifidelitat, aix\u00ed com optimitzaci\u00f3 de formes i topologia), problemes inversos (utilitzant enfocaments Bayesians i adaptatius de Monte Carlo Markov Chain), i quantificaci\u00f3 d’incertesa, amb especial atenci\u00f3 a la manipulaci\u00f3 de dades sorolloses i incertes mitjan\u00e7ant estrat\u00e8gies de mostreig \u00f2ptimes per a sistemes complexos param\u00e8trics.<\/p>\n

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Les aplicacions de recerca abasten quatre dominis principals: (1) disseny d’enginyeria d’automoci\u00f3, optimitzaci\u00f3 i simulaci\u00f3, amb \u00e8mfasi en els camps de creixement de l’electromobilitat i la seguretat dels vehicles; (2) explotaci\u00f3 de l’energia geot\u00e8rmica i els recursos minerals estrat\u00e8gics, amb atenci\u00f3 als reptes de la sostenibilitat; (3) modelitzaci\u00f3 espec\u00edfica de pacients i basada en dades per a la presa de decisions sanit\u00e0ries en medicina personalitzada; (4) sistemes de microfiltraci\u00f3 per a l’acc\u00e9s a l’aigua neta i la resili\u00e8ncia en pres\u00e8ncia d’esdeveniments extrems. A trav\u00e9s d’aquests esfor\u00e7os, el cl\u00faster pret\u00e9n democratitzar l’acc\u00e9s a tecnologies de modelatge d’alta fidelitat i solucions digitals bessones frontereres, garantint l’efici\u00e8ncia num\u00e8rica, la robustesa i la credibilitat en diverses aplicacions cient\u00edfiques i d’enginyeria.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.27.0″ _module_preset=”c7c24b71-68f1-4ba2-bc79-49dcbcce5ea1″ custom_margin=”|0px||0px|false|false” custom_padding=”50px|0px|50px|0px|false|false” collapsed=”on” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.27.0″ _module_preset=”56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=”{}”][et_pb_image src=”https:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_1.jpg” title_text=”rc8_1″ align=”center” module_class=”fit-img” _builder_version=”4.27.4″ _module_preset=”default” width=”100%” module_alignment=”center” height=”220px” locked=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.0″ _module_preset=”56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=”{}”][et_pb_image src=”https:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_2.jpg” title_text=”rc8_2″ align=”center” module_class=”fit-img” _builder_version=”4.27.4″ _module_preset=”default” width=”100%” module_alignment=”center” height=”220px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.0″ _module_preset=”56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=”{}”][et_pb_image src=”https:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_3-1.jpg” title_text=”rc8_3″ align=”center” module_class=”fit-img” _builder_version=”4.27.4″ _module_preset=”default” width=”100%” module_alignment=”center” height=”220px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Research Tab” module_id=”section-splitter-menu” module_class=”research-content tab-content” _builder_version=”4.27.4″ _module_preset=”fed47f3e-3ebe-4259-a156-523c8e0b8966″ locked=”off” collapsed=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_4,3_4″ gutter_width=”2″ disabled_on=”off|off|off” admin_label=”\u00c0rees de recerca” _builder_version=”4.27.4″ _module_preset=”c7c24b71-68f1-4ba2-bc79-49dcbcce5ea1″ custom_padding=”0px|0px|32px|0px|false|false” locked=”off” collapsed=”off” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.27.0″ _module_preset=”56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=”{}”][et_pb_heading title=”\u00c0rees de recerca” admin_label=”H2″ _builder_version=”4.27.4″ _module_preset=”default” title_level=”h2″ title_text_color=”#004996″ title_font_size=”2rem” title_line_height=”2rem” global_colors_info=”{}”][\/et_pb_heading][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.27.4″ _module_preset=”56e57fde-4561-4cf6-a771-0a733a7201b1″ border_color_right=”#d9d9d9″ global_colors_info=”{}”][et_pb_heading title=”Modelatge computacional cre\u00efble i quantificaci\u00f3 d'incertesa” admin_label=”Advanced Manufacturing Processes” _builder_version=”4.27.4″ _module_preset=”default” title_level=”h3″ title_font=”|700|||||||” title_font_size=”1.5rem” title_line_height=”1.8rem” locked=”off” global_colors_info=”{}”][\/et_pb_heading][et_pb_text admin_label=”Text” _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”||||false|false” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Desenvolupament d’eines num\u00e8riques per avaluar i controlar la credibilitat de les simulacions. Aix\u00f2 inclou quatre idees subjacents: controlar la precisi\u00f3 num\u00e8rica (Verificaci\u00f3); millorar la qualitat de l’aproximaci\u00f3 (Adaptivitat); monitoritzar la pertin\u00e8ncia del model (Validaci\u00f3); tenir en compte la naturalesa aleat\u00f2ria dels sistemes analitzats (Quantificaci\u00f3 de la incertesa).<\/span><\/p>\n

[\/et_pb_text][et_pb_image src=”https:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_ra1-3.png” title_text=”rc8_ra1″ _builder_version=”4.27.4″ _module_preset=”default” width=”60%” module_alignment=”center” custom_margin=”||32px||false|false” locked=”off” global_colors_info=”{}”][\/et_pb_image][et_pb_heading title=”Solucionadors d'alta fidelitat i robustos per a la ci\u00e8ncia i l'enginyeria computacional” admin_label=”Fluid-Structure Interaction and aeroelastic problems” _builder_version=”4.27.4″ _module_preset=”default” title_level=”h3″ title_font=”|700|||||||” title_font_size=”1.5rem” title_line_height=”1.8rem” locked=”off” global_colors_info=”{}”][\/et_pb_heading][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”||||false|false” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Desenvolupament d’eines de simulaci\u00f3 de nova generaci\u00f3 dissenyades per abordar problemes f\u00edsics complexos de rellev\u00e0ncia industrial, amb precisi\u00f3 i fiabilitat. Les metodologies abasten des d’esquemes de volum finit centrat en cares (FCFV) de baix ordre, coneguts per la seva robustesa contra la distorsi\u00f3 de la malla, fins a m\u00e8todes de Galerkin discontinu hibriditzables (HDG) d’alt ordre i adaptatius al grau, que ofereixen precisi\u00f3 i efici\u00e8ncia fins i tot en malles gruixudes o no estructurades. Aquesta l\u00ednia de recerca tamb\u00e9 inclou el tractament de geometries d’alta fidelitat, on els l\u00edmits i les interf\u00edcies es descriuen exactament mitjan\u00e7ant NURBS, permetent que les simulacions segueixin sent precises independentment de la complexitat geom\u00e8trica.<\/span><\/span><\/p>\n

[\/et_pb_text][et_pb_image src=”https:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_ra2-2.png” title_text=”rc8_ra2″ _builder_version=”4.27.4″ _module_preset=”default” width=”60%” module_alignment=”center” custom_margin=”||32px||false|false” locked=”off” global_colors_info=”{}”][\/et_pb_image][et_pb_heading title=”Aprenentatge Autom\u00e0tic Cient\u00edfic per a Models de Superrogaci\u00f3 Basats en F\u00edsica” admin_label=”Fluid-Structure Interaction and aeroelastic problems” _builder_version=”4.27.4″ _module_preset=”default” title_level=”h3″ title_font=”|700|||||||” title_font_size=”1.5rem” title_line_height=”1.8rem” locked=”off” global_colors_info=”{}”][\/et_pb_heading][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”||||false|false” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Desenvolupament de models d’ordre redu\u00eft (ROM) basats en la f\u00edsica, intrusius i no intrusius, adaptats a equacions diferencials parcials param\u00e8triques. L’objectiu \u00e9s crear models substituts eficients, precisos i interpretables que preservin la f\u00edsica subjacent alhora que permetin simulacions r\u00e0pides a trav\u00e9s d’espais de par\u00e0metres. La l\u00ednia de recerca integra diverses estrat\u00e8gies num\u00e8riques amb control d’errors integrat, incloent: descomposici\u00f3 generalitzada adequada (PGD) per a l’aproximaci\u00f3 en temps real amb variables separades, descomposici\u00f3 ortogonal adequada (POD) i POD del nucli (kPOD) per a la reducci\u00f3 basada en projeccions, substituts de xarxes neuronals (NN) per a l’aprenentatge de depend\u00e8ncies param\u00e8triques no lineals i m\u00e8todes multifidelitat que combinen simulacions a diferents resolucions i precisions per optimitzar els costos computacionals. Aquesta l\u00ednia uneix la reducci\u00f3 de models i l’aprenentatge autom\u00e0tic cient\u00edfic, oferint eines robustes per al disseny, el control, l’optimitzaci\u00f3 i la quantificaci\u00f3 de la incertesa en la ci\u00e8ncia i l’enginyeria computacionals.<\/span><\/p>\n

[\/et_pb_text][et_pb_image src=”https:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_ra3-1.png” title_text=”rc8_ra3″ _builder_version=”4.27.4″ _module_preset=”default” width=”60%” module_alignment=”center” custom_margin=”||32px||false|false” locked=”off” global_colors_info=”{}”][\/et_pb_image][et_pb_heading title=”Disseny basat en dades i models h\u00edbrids barrejant dades i f\u00edsica” admin_label=”Advanced Manufacturing Processes” _builder_version=”4.27.4″ _module_preset=”default” title_level=”h3″ title_font=”|700|||||||” title_font_size=”1.5rem” title_line_height=”1.8rem” locked=”off” global_colors_info=”{}”][\/et_pb_heading][et_pb_text admin_label=”Text” _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”||||false|false” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Desenvolupament d’eines num\u00e8riques per construir models d’enginyeria a partir de dades i observacions, en lloc d’utilitzar models f\u00edsics o anal\u00edtics. Les metodologies proposades pertanyen al marc de disseny basat en dades directes (D4), que inclou: aproximaci\u00f3 estructurada de baix rang (SLA), control basat en dades directe i indirecte, enfocament conductual de la teoria de sistemes i aprenentatge per refor\u00e7 (RL). A m\u00e9s, aquesta l\u00ednia pret\u00e9n connectar els models f\u00edsics (i les seves aproximacions) amb els models basats en dades. L’objectiu \u00e9s millorar els models f\u00edsics utilitzant dades de sensors i observacions i millorar la interpretabilitat i l’explicabilitat de les dades mitjan\u00e7ant el coneixement f\u00edsic mitjan\u00e7ant l’assimilaci\u00f3 de dades, l’actualitzaci\u00f3 de models bayesians, l’augment de dades basat en la f\u00edsica i els enfocaments de Monte Carlo amb cadenes de Markov. Aquesta l\u00ednia de recerca se centra espec\u00edficament en metodologies robustes, amb un enfocament en dades sorolloses, pertorbacions i incertesa del model.<\/span><\/span><\/p>\n

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Desenvolupament de solucions de codi obert que implementin eines num\u00e8riques de frontera adequades per a la pr\u00e0ctica industrial i el desenvolupament sostenible. El programari rellevant inclou solucionadors de simulaci\u00f3 per a sistemes que impliquen fluids, s\u00f2lids, electromagn\u00e8tics i fen\u00f2mens multif\u00edsics, i aplicacions substitutives per a agermanament digital en escenaris de m\u00faltiples consultes (per exemple, disseny, optimitzaci\u00f3 de forma i topologia, control, monitoritzaci\u00f3, an\u00e0lisi inversa, quantificaci\u00f3 d’incertesa,…).<\/span><\/p>\n

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Cl\u00faster de recercaPersona de contacteMatteo GiacominiL\u00edders acad\u00e8micsPedro D\u00edez, Alberto Garcia, Matteo Giacomini, Antonio Huerta, Ivan Markovsky, Josep Sarrate, Sergio ZlotnikAquest cl\u00faster de recerca desenvolupa models matem\u00e0tics i computacionals que integren la comprensi\u00f3 f\u00edsica amb dades de simulacions i experiments, avan\u00e7ant t\u00e8cniques de modelitzaci\u00f3 subrogada per a l’optimitzaci\u00f3, problemes inversos i quantificaci\u00f3 d’incertesa en aplicacions d’enginyeria.El […]<\/p>\n","protected":false},"author":2,"featured_media":239293,"parent":226583,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","slim_seo":{"title":"Models predictius d\u2019alta fidelitat fonamentats en dades - CIMNE","description":"Cl\u00faster de recerca Persona de contacte Matteo Giacomini L\u00edders acad\u00e8mics Pedro D\u00edez, Alberto Garcia, Matteo Giacomini, Antonio Huerta, Ivan Markovsky, Josep Sar"},"footnotes":""},"class_list":["post-226495","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/cimne.com\/ca\/wp-json\/wp\/v2\/pages\/226495","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cimne.com\/ca\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cimne.com\/ca\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cimne.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/cimne.com\/ca\/wp-json\/wp\/v2\/comments?post=226495"}],"version-history":[{"count":0,"href":"https:\/\/cimne.com\/ca\/wp-json\/wp\/v2\/pages\/226495\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/cimne.com\/ca\/wp-json\/wp\/v2\/pages\/226583"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cimne.com\/ca\/wp-json\/wp\/v2\/media\/239293"}],"wp:attachment":[{"href":"https:\/\/cimne.com\/ca\/wp-json\/wp\/v2\/media?parent=226495"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}