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of 29
pro vyhledávání: '"Racca, Alberto"'
Autor:
Racca, Alberto, Magri, Luca
Extreme event are sudden large-amplitude changes in the state or observables of chaotic nonlinear systems, which characterize many scientific phenomena. Because of their violent nature, extreme events typically have adverse consequences, which call f
Externí odkaz:
http://arxiv.org/abs/2308.03095
Because of physical assumptions and numerical approximations, low-order models are affected by uncertainties in the state and parameters, and by model biases. Model biases, also known as model errors or systematic errors, are difficult to infer becau
Externí odkaz:
http://arxiv.org/abs/2306.04315
Turbulence is characterised by chaotic dynamics and a high-dimensional state space, which make this phenomenon challenging to predict. However, turbulent flows are often characterised by coherent spatiotemporal structures, such as vortices or large-s
Externí odkaz:
http://arxiv.org/abs/2301.13728
The spatiotemporal dynamics of turbulent flows is chaotic and difficult to predict. This makes the design of accurate and stable reduced-order models challenging. The overarching objective of this paper is to propose a nonlinear decomposition of the
Externí odkaz:
http://arxiv.org/abs/2211.11379
Autor:
Racca, Alberto, Magri, Luca
An extreme event is a sudden and violent change in the state of a nonlinear system. In fluid dynamics, extreme events can have adverse effects on the system's optimal design and operability, which calls for accurate methods for their prediction and c
Externí odkaz:
http://arxiv.org/abs/2204.11682
Autor:
Racca, Alberto, Magri, Luca
We propose Echo State Networks (ESNs) to predict the statistics of extreme events in a turbulent flow. We train the ESNs on small datasets that lack information about the extreme events. We asses whether the networks are able to extrapolate from the
Externí odkaz:
http://arxiv.org/abs/2201.08294
Autor:
Racca, Alberto, Magri, Luca
An approach to the time-accurate prediction of chaotic solutions is by learning temporal patterns from data. Echo State Networks (ESNs), which are a class of Reservoir Computing, can accurately predict the chaotic dynamics well beyond the predictabil
Externí odkaz:
http://arxiv.org/abs/2103.03174
Autor:
Racca, Alberto, Magri, Luca
We propose the Automatic-differentiated Physics-Informed Echo State Network (API-ESN). The network is constrained by the physical equations through the reservoir's exact time-derivative, which is computed by automatic differentiation. As compared to
Externí odkaz:
http://arxiv.org/abs/2101.00002
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 January 2024 418 Part A
Autor:
Pearse, Rupert *, Ranieri, Marco, Abbott, Tom, Pakats, Mari-Liis, Piervincenzi, Edoardo, Patel, Akshaykumar, Kahan, Brennan, Rhodes, Andrew, Dias, Priyanthi, Hewson, Russell, Jammer, Ib, Chew, Michelle, Aldecoa, Cesar, Rodseth, Reitze, Biccard, Bruce, Stephens, Tim, Payne, Sara, Hepworth, David, Pischke, Soeren, Asvall, Joerund, Hausken, John, Jhanji, Shaman, Rooms, Martin, Flint, Neil, Hales, Dawn, Szakmany, Tamas, Leitch, Andrew, Spadaro, Savino, Chiumello, Davide, Johnston, Paul, Yeung, Joyce, Tellan, Guglielmo, Veenith, Tonny, Macmillan, Josep, Terragni, Pierpaolo, Sander, Caroline, Kasipandian, Vidya, Ahmad, Tahania, Lee, Aaron, Tammaro, Marcello, McAuley, Danny, Skene, Simon, Vohra, Ravinder, Wilson, Matt, Edwards, Mark, Griffiths, Ewen, Pritchard, Naomi, Filippini, Claudia, Aasmundstad, Tor, Aksnes, Einar, Alpers, Lise-Merete, Barratt-Due, Andreas, Dahl, Anita, Feldt, Linda, Figari, Elisa, Flåten, Eva, Granheim, Karen, Hagring, Minna, Haugaa, Håkon, Kjoesen, Gisle, Klaevahaugen, Inge, Lenz, Harald, Myhre, Marianne, Orrem, Hilde, Stitt, Emily, Toennessen, Tor Inge, Al-Kadhimi, Samuel, Anker, Robert, Balint, Mihaela, Barraclough, Lauren, Black, Ethel, Clayton, Matt, Conneely, Leonora, Edwards, Zara, Eeles, Alex, Evans, Matthew, Gerstman, Michelle, Greenshields, Nicole, Harvey, Eleanor, Hegarty, Aoife, Hester, Natalie, Hutchinson, Jenna, Kasivisvanathan, Ramanathan, Lawrence, Helen, Marsh, Veronica, Matthews, Laura, Mazzola, Francesca, McCanny, Jamie, Morrison, Ben, O'Mahony, Michelle, Pang, Ching Ling, Parkinson, David, Pirie, Katrina, Rao Baikady, Ravishankar, Shovel, Louisa, Smith, Lorna, Tatham, Kate, Thomas, Peter, Uren, Sophie, Walker, Susanna, Wills, Alasdair, Andreou, Prematie, Howson, Alex, Kaur, Jasmin, Lewszuk, Adam, Molina, Esther, Ramsamy, Nirmalabaye, Roberts, Emma, Amaral, Vanessa, Begum, Salma, Bekele, Soliana, Cashmore, Richard, Correia, Carmen, Dunkley, Steven, Fernandez, Maria, Fowler, Alexander, Garcia, Amaia, Della Giovampaola, Maria, Greaves, Kathryn, Griffiths, Bethan, Haines, Ryan, Haslop, Richard, Hu, Ying, Hui, Sarah, Januszewska, Marta, Manon, Vasi, Martin, Tim, May, Shaun, Minicozzi, Annamaria, Niebrzegowska, Edyta, Oliveira, Monica, Pates, Katherine, Santos, Filipa, Shahid, Tasnin, Simili, Paolo, Somerville, Alastair, Subhedar, Emily, Uddin, Ruzena, Walker, Sophie, Wan, Yize, Whalley, Jan, Zolfaghari, Parjam, Gunter, Una, Hodkinson, Gemma, Howe, Gwenllian, Baratozzi, Valentina, Casotto, Giulia, Darai, Giulia, Ferrari, Erica, Mistraletti, Giovanni, Palmaverdi, Valentina, Furlani, Stefano, Priani, Paolo, Ragazzi, Riccardo, Salmaso, Marco, Verri, Marco, Volta, Carlo, Nutt, Chris, McKay, Emma, O'Neill, Orla, Patel, Jaimin, Atterbury, Katie, Ballinger, Sarah, Carling, Natalie, Ellis, Kaytie, Gresty, Jo, Melody, Teresa, Monk, Jade, Norman, Chloe, Reeves, Eleanor, Sampson, Julia, Sutton, Peter, Thomas, Marie, Bamford, Amy, Bergin, Colin, Carrera, Ronald, Cooper, Lauren, Despy, Liesl, Ellis, Karen, Fellows, Emma, Goundry, Stephanie, Harkett, Samantha, Ip, Peter, Mason, Tracy, McGhee, Christopher, McLaughlin, Aisling, Neal, Aoife, Pope, Martin, Porter, Stephanie, Smith, Hazel, Snelson, Catherine, Spruce, Elaine, Vigo, Ylenia, Whitehouse, Arlo, Whitehouse, Tony, Donatiello, Maria, Gazzanelli, Sergio, Mezzapesa, Mario, Savino, Martina, Settesoldi, Giacomo, Kunst, Gudrun, Birch, Sian, Greig, Louise, Noble, Harriet, Pappa, Evita, Penhaligon, Bethany, Cossu, Andrea, Floris, Leda, Piredda, Davide, Racca, Alberto, Brattstrom, Olof, Heggelund, Bente, Flodberg, Magnus, Månsson, Sandra, Ahmed, Mamoona, Allen, Jonathan, Bell, Paula, Genetu, Roman, Glennon, Julia, Hanley, Janice, Jenner, Katy, Jogi, Summayyah, Mahjoob, Parisa, McGovern, Clare, Murphy, Anthony, Nazari, Roonak, Routledge, Jacki, Uttamlal, Trishna, Ward, Sinead, Iotti, Giorgio, Picchioni, Raffaella, Poma, Silvia, Navalesi, Paolo, Bruni, Andrea, De Leonardis, Brunella, Garofalo, Eugenio, Patel, Panna, McArthur, Carol, Burns, Karen, Peters, Steven, Foti, Giuseppe, Calcinati, Serena, Grassi, Alice, Villa, Silvia, Berridge, John, Kanakaraj, Muthuraj, Cahill, Hazel, Forshaw, Greg, Gibson, Andy, Grainger, Lia, Howard, Kate, James, Katherine, Murphy, Zoe, Sweeting, Helen, Tait, Rebecca, Wilcock, Danielle, Yates, David, Cope, Sean, Allan, Ashley, Betts, Rebecca, Cornell, Sarah, Sheriff, Julie, Woods, Lindsey, Grasselli, Giacomo, Brioni, Matteo, Castagna, Luigi, von Rahden, Richard, Farina, Zane, Green, Samantha, Gumede, Simphiwe, Rajah, Chantal, Ramkillawan, Arisha, Moug, Susan, Alcorn, David, Dalton, Carol, Dickinson, Natalie, Edwards, Jennifer, Henderson, Steven, McIlveen, Erin, Ramsaran, Richard, Bell, Joanne, Fleming, Lorna, Monks, Kathleen, Parker, Jane, Stamper, Sean, Stokes-Denson, Jo, Elías, Elisa, Guerra, Yessica, Rico-Feijoo, Jesus, Kidel, Carlos, Filipe, Helder, Asis, Gretchelle, Gleeson, Yvonne, Harvey, Alice, Jackson, Christine, McNeil, Margaret, Mingo, Sara, Pakou, Glykeria, Pinto, Manuel, Wright, Stephen, 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Joanne, Pawley, Corinne, Tait, Moira, Hamilton, Mark, Andrade, Edward, Barnes, Veronica, Dalton, Claire, Delgado, Carlos, Farnell-Ward, Sarah, Farrah, Helen, Gray, Geraldine, Howlett, Luisa, Joseph, Gipsy, Krupa, Monika, Leaver, Susannah, Macedo, Joao, Maher, Karen, Mellinghoff, Johannes, Oguntimehin, Rachel, Pereira, Joel, Robinson, Frances, Ryan, Christine, Shah, Nirav, Shirley, Paula, Torborg, Alexandra, Biyase, Thuli, Drummond, Leanne, Kusel, Belinda, Mbuyisa, Mbalenhle, Solala, Sivuyisiwe, Taylor, Jenna, Ezihe-Ejiofor, Adanma, Aduse-Poku, Maame, Colville, Gary, Davies, Louise, Kang, Soo, Phillips, Alex, Kirk-Bayley, Justin, Kelliher, Leigh, Carvelli, Paula, Daysal, Gokce, Dickinson, Matthew, Doyle, Nancileigh, Hughes, Christina, Montague, Laura, Potter, Elizabeth, Salberg, Armorel, Sibug, Sheena, Sivarajan, Sinduja, Thomson, Milo, Wakeford, Nichola, Rocco, Monica, Alampi, Daniela, Conway, Daniel, Clark, Richard, Maria, Jashmin, Pomeroy, Fiona, Quraishi, Tanviha, Williams, Abigail, 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Seidel, Philipp, Arnold, Glenn, Benavente, Melissa, Chattersingh, Anjalee, Chironga, Nyasha, Hornzee, Gillian, Kibaru, Joyce, Malik, Ihtisham, McLeavy, Laura, Pathmanathan, Byiravey, Prior, Florence, Strudwick, Rhea, Vezyrgiannis, Marios, Sinha, Aneeta, Babu, Sheeba, Batuwitage, Bisanth, Daly, Zoe, Ellinor, Katharine, Hawes, Elizabeth, Holmes, Ann, Hudson, Karen, Nightingale, Jeremy, Le Poidevin, Alison, Roberts, Lindsey, Kubisz-Pudelko, Agnieszka, Allison, Joanna, Pippard, Lucy, Hamlyn, Vincent, Organ, Angie, Prabhahar, Thaventhran, Bridger, Hayley, Dvorkin, Lee, Manhas, Vitul, Vincent, Rachel, Laha, Shondipon, Cromie, Terri-Louise, Doyle, Donna, Howarth, Rachel, Verlander, Mark, Watt, Ailsa, Williams, Alexandra, Antonelli, Massimo, Cutuli, Salvatore, Montini, Luca, Graterol, Juan, Adams, Benita, Bean, Sarah, Burt, Karen, Hammonds, Fiona, Jigajinni, Suyogi, Fulton, Laura, Kinghorn, Stephen, Mullenheim, Jost, Baillie, Kirsty, Cain, Martyn, Colling, Kerry, Hannaway, Carol, Corso, Ruggero, Calli, Morena, Ferrando, Carlos, Romero, Esther, Jorge-Monjas, Pablo, Soria-García, María, Gómez-Herreras, José, Rodríguez-Jiménez, Rita, De Prada-Martín, Blanca
Publikováno v:
In The Lancet Respiratory Medicine November 2021 9(11):1221-1230