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Cl\u00faster de recerca<\/p>\n
[\/et_pb_text][et_pb_heading title=\u00bb@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF90aXRsZSIsInNldHRpbmdzIjp7ImJlZm9yZSI6IiIsImFmdGVyIjoiIn19@\u00bb admin_label=\u00bbH1″ _builder_version=\u00bb4.27.5″ _dynamic_attributes=\u00bbtitle\u00bb _module_preset=\u00bb4c5ef66f-50cd-42c5-b88c-a74fdcea313a\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_heading][et_pb_text admin_label=\u00bbTitle\u00bb _builder_version=\u00bb4.27.5″ _module_preset=\u00bb6d55416f-9dec-40a9-9718-5879084be1a8″ global_colors_info=\u00bb{}\u00bb]<\/p>\n
Persona de contacte<\/p>\n
[\/et_pb_text][et_pb_text admin_label=\u00bbContact point\u00bb _builder_version=\u00bb4.27.5″ _module_preset=\u00bbf199e95e-376a-4f66-b51b-482255312542″ global_colors_info=\u00bb{}\u00bb]<\/p>\n
Matteo Giacomini<\/p>\n
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L\u00edders acad\u00e8mics<\/p>\n
[\/et_pb_text][et_pb_text admin_label=\u00bbAcademic Leaders\u00bb _builder_version=\u00bb4.27.6″ _module_preset=\u00bbf199e95e-376a-4f66-b51b-482255312542″ global_colors_info=\u00bb{}\u00bb]<\/p>\n
Pedro D\u00edez, Alberto Garcia, Matteo Giacomini, Antonio Huerta, Ivan Markovsky, Josep Sarrate, Sergio Zlotnik<\/p>\n
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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=\u00bb1px Line Row\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb100%\u00bb max_width=\u00bb2500px\u00bb custom_margin=\u00bb0px||0px||true|false\u00bb custom_padding=\u00bb0px||0px||true|false\u00bb collapsed=\u00bbon\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb4_4″ _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n [et_pb_divider show_divider=\u00bboff\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb100%\u00bb height=\u00bb0px\u00bb custom_margin=\u00bb0px||0px||true|false\u00bb custom_padding=\u00bb0px||0px||true|false\u00bb border_width_bottom=\u00bb1px\u00bb border_color_bottom=\u00bb#d9d9d9″ global_colors_info=\u00bb{}\u00bb][\/et_pb_divider]<\/p>\n [\/et_pb_column][\/et_pb_row][et_pb_row column_structure=\u00bb1_3,1_3,1_3″ _builder_version=\u00bb4.27.4″ _module_preset=\u00bbc7c24b71-68f1-4ba2-bc79-49dcbcce5ea1″ custom_margin=\u00bb|0px||0px|false|false\u00bb custom_padding=\u00bb50px|0px|50px|0px|false|false\u00bb collapsed=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb1_3″ _builder_version=\u00bb4.27.0″ _module_preset=\u00bb56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=\u00bb{}\u00bb][\/et_pb_column][et_pb_column type=\u00bb1_3″ _builder_version=\u00bb4.27.0″ _module_preset=\u00bb56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=\u00bb{}\u00bb][et_pb_text _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb]<\/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 [\/et_pb_text][\/et_pb_column][et_pb_column type=\u00bb1_3″ _builder_version=\u00bb4.27.0″ _module_preset=\u00bb56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=\u00bb{}\u00bb][et_pb_text _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n 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=\u00bb1_3,1_3,1_3″ _builder_version=\u00bb4.27.0″ _module_preset=\u00bbc7c24b71-68f1-4ba2-bc79-49dcbcce5ea1″ custom_margin=\u00bb|0px||0px|false|false\u00bb custom_padding=\u00bb50px|0px|50px|0px|false|false\u00bb collapsed=\u00bbon\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb1_3″ _builder_version=\u00bb4.27.0″ _module_preset=\u00bb56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=\u00bb{}\u00bb][et_pb_image src=\u00bbhttps:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_1.jpg\u00bb title_text=\u00bbrc8_1″ align=\u00bbcenter\u00bb module_class=\u00bbfit-img\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb100%\u00bb module_alignment=\u00bbcenter\u00bb height=\u00bb220px\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][\/et_pb_column][et_pb_column type=\u00bb1_3″ _builder_version=\u00bb4.27.0″ _module_preset=\u00bb56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=\u00bb{}\u00bb][et_pb_image src=\u00bbhttps:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_2.jpg\u00bb title_text=\u00bbrc8_2″ align=\u00bbcenter\u00bb module_class=\u00bbfit-img\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb100%\u00bb module_alignment=\u00bbcenter\u00bb height=\u00bb220px\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][\/et_pb_column][et_pb_column type=\u00bb1_3″ _builder_version=\u00bb4.27.0″ _module_preset=\u00bb56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=\u00bb{}\u00bb][et_pb_image src=\u00bbhttps:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_3-1.jpg\u00bb title_text=\u00bbrc8_3″ align=\u00bbcenter\u00bb module_class=\u00bbfit-img\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb100%\u00bb module_alignment=\u00bbcenter\u00bb height=\u00bb220px\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\u00bb1″ admin_label=\u00bbResearch Tab\u00bb module_id=\u00bbsection-splitter-menu\u00bb module_class=\u00bbresearch-content tab-content\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbfed47f3e-3ebe-4259-a156-523c8e0b8966″ locked=\u00bboff\u00bb collapsed=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_row column_structure=\u00bb1_4,3_4″ gutter_width=\u00bb2″ disabled_on=\u00bboff|off|off\u00bb admin_label=\u00bb\u00c0rees de recerca\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbc7c24b71-68f1-4ba2-bc79-49dcbcce5ea1″ custom_padding=\u00bb0px|0px|32px|0px|false|false\u00bb locked=\u00bboff\u00bb collapsed=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb1_4″ _builder_version=\u00bb4.27.0″ _module_preset=\u00bb56e57fde-4561-4cf6-a771-0a733a7201b1″ global_colors_info=\u00bb{}\u00bb][et_pb_heading title=\u00bb\u00c0rees de recerca\u00bb admin_label=\u00bbH2″ _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb title_level=\u00bbh2″ title_text_color=\u00bb#004996″ title_font_size=\u00bb2rem\u00bb title_line_height=\u00bb2rem\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_heading][\/et_pb_column][et_pb_column type=\u00bb3_4″ _builder_version=\u00bb4.27.4″ _module_preset=\u00bb56e57fde-4561-4cf6-a771-0a733a7201b1″ border_color_right=\u00bb#d9d9d9″ global_colors_info=\u00bb{}\u00bb][et_pb_heading title=\u00bbModelatge computacional cre\u00efble i quantificaci\u00f3 d'incertesa\u00bb admin_label=\u00bbAdvanced Manufacturing Processes\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb title_level=\u00bbh3″ title_font=\u00bb|700|||||||\u00bb title_font_size=\u00bb1.5rem\u00bb title_line_height=\u00bb1.8rem\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_heading][et_pb_text admin_label=\u00bbText\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb custom_margin=\u00bb||||false|false\u00bb custom_padding=\u00bb||||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb]<\/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=\u00bbhttps:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_ra1-3.png\u00bb title_text=\u00bbrc8_ra1″ _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb60%\u00bb module_alignment=\u00bbcenter\u00bb custom_margin=\u00bb||32px||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][et_pb_heading title=\u00bbSolucionadors d'alta fidelitat i robustos per a la ci\u00e8ncia i l'enginyeria computacional\u00bb admin_label=\u00bbFluid-Structure Interaction and aeroelastic problems\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb title_level=\u00bbh3″ title_font=\u00bb|700|||||||\u00bb title_font_size=\u00bb1.5rem\u00bb title_line_height=\u00bb1.8rem\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_heading][et_pb_text _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb custom_margin=\u00bb||||false|false\u00bb custom_padding=\u00bb||||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb]<\/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=\u00bbhttps:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_ra2-2.png\u00bb title_text=\u00bbrc8_ra2″ _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb60%\u00bb module_alignment=\u00bbcenter\u00bb custom_margin=\u00bb||32px||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][et_pb_heading title=\u00bbAprenentatge Autom\u00e0tic Cient\u00edfic per a Models de Superrogaci\u00f3 Basats en F\u00edsica\u00bb admin_label=\u00bbFluid-Structure Interaction and aeroelastic problems\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb title_level=\u00bbh3″ title_font=\u00bb|700|||||||\u00bb title_font_size=\u00bb1.5rem\u00bb title_line_height=\u00bb1.8rem\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_heading][et_pb_text _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb custom_margin=\u00bb||||false|false\u00bb custom_padding=\u00bb||||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb]<\/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=\u00bbhttps:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_ra3-1.png\u00bb title_text=\u00bbrc8_ra3″ _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb60%\u00bb module_alignment=\u00bbcenter\u00bb custom_margin=\u00bb||32px||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][et_pb_heading title=\u00bbDisseny basat en dades i models h\u00edbrids barrejant dades i f\u00edsica\u00bb admin_label=\u00bbAdvanced Manufacturing Processes\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb title_level=\u00bbh3″ title_font=\u00bb|700|||||||\u00bb title_font_size=\u00bb1.5rem\u00bb title_line_height=\u00bb1.8rem\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_heading][et_pb_text admin_label=\u00bbText\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb custom_margin=\u00bb||||false|false\u00bb custom_padding=\u00bb||||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb]<\/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 [\/et_pb_text][et_pb_image src=\u00bbhttps:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_ra4.png\u00bb title_text=\u00bbrc8_ra4″ _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb60%\u00bb module_alignment=\u00bbcenter\u00bb custom_margin=\u00bb||32px||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][et_pb_heading title=\u00bbProgramari de codi obert per a la ci\u00e8ncia i l'enginyeria computacional\u00bb admin_label=\u00bbAdvanced Manufacturing Processes\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb title_level=\u00bbh3″ title_font=\u00bb|700|||||||\u00bb title_font_size=\u00bb1.5rem\u00bb title_line_height=\u00bb1.8rem\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_heading][et_pb_text admin_label=\u00bbText\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb custom_padding=\u00bb||||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n 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 [\/et_pb_text][et_pb_image src=\u00bbhttps:\/\/cimne.com\/wp-content\/uploads\/2025\/08\/rc8_ra5.png\u00bb title_text=\u00bbrc8_ra5″ _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb60%\u00bb module_alignment=\u00bbcenter\u00bb custom_margin=\u00bb||32px||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=\u00bb1px Line Row\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb100%\u00bb max_width=\u00bb2500px\u00bb custom_margin=\u00bb0px||0px||true|false\u00bb custom_padding=\u00bb0px||0px||true|false\u00bb collapsed=\u00bbon\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb4_4″ _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n [et_pb_divider show_divider=\u00bboff\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bbdefault\u00bb width=\u00bb100%\u00bb height=\u00bb0px\u00bb custom_margin=\u00bb0px||0px||true|false\u00bb custom_padding=\u00bb0px||0px||true|false\u00bb border_width_bottom=\u00bb1px\u00bb border_color_bottom=\u00bb#d9d9d9″ global_colors_info=\u00bb{}\u00bb][\/et_pb_divider]<\/p>\n [\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\u00bb1″ admin_label=\u00bbStaff Tab\u00bb module_class=\u00bbstaff-content tab-content\u00bb _builder_version=\u00bb4.27.4″ _module_preset=\u00bb1698c92f-85b6-4387-80e7-2fe085bd178c\u00bb collapsed=\u00bboff\u00bb 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