{"id":"https://openalex.org/W4404311561","doi":"https://doi.org/10.48550/arxiv.2410.19343","title":"High Resolution Seismic Waveform Generation using Denoising Diffusion","display_name":"High Resolution Seismic Waveform Generation using Denoising Diffusion","publication_year":2024,"publication_date":"2024-10-25","ids":{"openalex":"https://openalex.org/W4404311561","doi":"https://doi.org/10.48550/arxiv.2410.19343"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2410.19343","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.19343","pdf_url":"https://arxiv.org/pdf/2410.19343","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2410.19343","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038032828","display_name":"Kadek Hendrawan Palgunadi","orcid":"https://orcid.org/0000-0002-3550-7341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Palgunadi, Kadek Hendrawan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093547725","display_name":"Andreas Bergmeister","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bergmeister, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bosisio, Andrea","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bosisio, Andrea","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013883895","display_name":"Laura Ermert","orcid":"https://orcid.org/0000-0001-9862-2710"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ermert, Laura","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069602164","display_name":"Maria Koroni","orcid":"https://orcid.org/0000-0003-3070-2356"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koroni, Maria","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018692490","display_name":"Nathana\u00ebl Perraudin","orcid":"https://orcid.org/0000-0001-8285-1308"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Perraudin, Nathana\u00ebl","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048806813","display_name":"Simon Dirmeier","orcid":"https://orcid.org/0000-0001-9795-3550"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dirmeier, Simon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002626127","display_name":"Men\u2010Andrin Meier","orcid":"https://orcid.org/0000-0002-2949-8602"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meier, Men-Andrin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10635","display_name":"Hydraulic Fracturing and Reservoir Analysis","score":0.9519000053405762,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.7105653285980225},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5739319324493408},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.548541247844696},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.4628986418247223},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.440701961517334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4178193211555481},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3810058832168579},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18885749578475952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18410980701446533},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10257112979888916}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.7105653285980225},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5739319324493408},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.548541247844696},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.4628986418247223},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.440701961517334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4178193211555481},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3810058832168579},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18885749578475952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18410980701446533},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10257112979888916},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2410.19343","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.19343","pdf_url":"https://arxiv.org/pdf/2410.19343","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2410.19343","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2410.19343","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2410.19343","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.19343","pdf_url":"https://arxiv.org/pdf/2410.19343","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2176409448","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2538520412","https://openalex.org/W2883092465"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,17],"and":[2,12,23,49,108,131,151,191,209,214,221,235],"synthesis":[3],"of":[4,34,53,70,175,205,219],"seismic":[5,35,169],"waveforms":[6,114,170],"are":[7],"crucial":[8],"for":[9,60],"seismic-hazard":[10,190],"assessment":[11],"earthquake-resistant":[13],"infrastructure":[14],"design.":[15],"Existing":[16],"methods,":[18],"such":[19,126],"as":[20,127],"ground-motion":[21,124,129,185],"models":[22],"physics-based":[24],"wave-field":[25],"simulations,":[26],"often":[27],"fail":[28],"to":[29,77,90,119],"capture":[30],"the":[31,71,139,161,183,202,206,216],"full":[32],"complexity":[33],"wavefields,":[36],"particularly":[37],"at":[38],"higher":[39],"frequencies.":[40],"This":[41],"study":[42],"introduces":[43],"HighFEM,":[44],"a":[45,67,78,172],"novel,":[46],"computationally":[47],"efficient,":[48],"scalable":[50],"(i.e.,":[51],"capable":[52],"generating":[54],"many":[55],"seismograms":[56],"simultaneously)":[57],"generative":[58],"model":[59,87,112,145,164,198],"high-frequency":[61,168],"seismic-waveform":[62,72],"generation.":[63],"Our":[64,157],"approach":[65],"leverages":[66],"spectrogram":[68],"representation":[69,94],"data,":[73],"which":[74],"is":[75,88],"reduced":[76],"lower-dimensional":[79],"manifold":[80],"via":[81],"an":[82],"autoencoder.":[83],"A":[84],"state-of-the-art":[85],"diffusion":[86],"trained":[89],"generate":[91,166],"this":[92],"latent":[93],"conditioned":[95],"on":[96],"key":[97],"input":[98,176],"parameters:":[99],"earthquake":[100],"magnitude,":[101],"recording":[102],"distance,":[103],"site":[104],"conditions,":[105],"hypocenter":[106],"depth,":[107],"azimuthal":[109],"gap.":[110],"The":[111],"generates":[113],"with":[115],"frequency":[116],"content":[117],"up":[118],"50":[120],"Hz.":[121],"Any":[122],"scalar":[123,184],"statistic,":[125],"peak":[128],"amplitudes":[130],"spectral":[132],"accelerations,":[133],"can":[134,165],"be":[135,232],"readily":[136],"derived":[137],"from":[138,154],"synthesized":[140],"waveforms.":[141],"We":[142],"validate":[143],"our":[144,197],"using":[146],"commonly":[147,187],"employed":[148],"seismological":[149],"metrics":[150,153],"performance":[152],"image-generation":[155],"studies.":[156],"results":[158],"demonstrate":[159],"that":[160,196,229],"openly":[162,233],"available":[163,234],"realistic":[167],"across":[171],"wide":[173],"range":[174],"parameters,":[177],"even":[178],"in":[179,189,237],"data-sparse":[180],"regions.":[181],"For":[182],"statistics":[186],"used":[188],"earthquake-engineering":[192],"studies,":[193],"we":[194,227],"show":[195],"accurately":[199],"reproduces":[200],"both":[201],"median":[203],"trends":[204],"real":[207],"data":[208],"their":[210],"variability.":[211],"To":[212],"evaluate":[213],"compare":[215],"growing":[217],"number":[218],"these":[220],"similar":[222],"Generative":[223],"Waveform":[224],"Models":[225],"(GWMs),":[226],"argue":[228],"they":[230],"should":[231],"included":[236],"community":[238],"ground-motion-model":[239],"evaluation":[240],"efforts.":[241]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
