{"id":"https://openalex.org/W4414737813","doi":"https://doi.org/10.1007/978-3-032-06129-4_3","title":"Go with\u00a0the\u00a0Flow: Leveraging Physics-Informed Gradients to\u00a0Solve Real-World Problems in\u00a0Water Distribution Systems","display_name":"Go with\u00a0the\u00a0Flow: Leveraging Physics-Informed Gradients to\u00a0Solve Real-World Problems in\u00a0Water Distribution Systems","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W4414737813","doi":"https://doi.org/10.1007/978-3-032-06129-4_3"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-06129-4_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-06129-4_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-06129-4_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-06129-4_3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049145952","display_name":"Inaam Ashraf","orcid":"https://orcid.org/0000-0001-9841-3628"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Inaam Ashraf","raw_affiliation_strings":["Faculty of Technology, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Technology, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092491290","display_name":"Janine Strotherm","orcid":"https://orcid.org/0009-0005-7013-5167"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Janine Strotherm","raw_affiliation_strings":["Faculty of Technology, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Technology, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016218081","display_name":"Luca Hermes","orcid":"https://orcid.org/0000-0002-7568-7981"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Luca Hermes","raw_affiliation_strings":["Faculty of Technology, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Technology, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091180862","display_name":"Barbara Hammer","orcid":"https://orcid.org/0000-0002-0935-5591"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Barbara Hammer","raw_affiliation_strings":["Faculty of Technology, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Technology, Bielefeld University, Inspiration 1, 33619, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049145952"],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64779437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10969","display_name":"Water resources management and optimization","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/task","display_name":"Task (project management)","score":0.5472000241279602},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.5367000102996826},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.4690000116825104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43849998712539673},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42260000109672546},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.3427000045776367},{"id":"https://openalex.org/keywords/hydraulic-machinery","display_name":"Hydraulic machinery","score":0.3375999927520752},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.32739999890327454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7997000217437744},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5476999878883362},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5472000241279602},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.5367000102996826},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.4690000116825104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4611999988555908},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43849998712539673},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42260000109672546},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3427000045776367},{"id":"https://openalex.org/C11394606","wikidata":"https://www.wikidata.org/wiki/Q1972552","display_name":"Hydraulic machinery","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30889999866485596},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C153823671","wikidata":"https://www.wikidata.org/wiki/Q1049799","display_name":"Water resources","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-06129-4_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-06129-4_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-06129-4_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-032-06129-4_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-06129-4_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-06129-4_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414737813.pdf","grobid_xml":"https://content.openalex.org/works/W4414737813.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2051734810","https://openalex.org/W2092183847","https://openalex.org/W2126105956","https://openalex.org/W2510000657","https://openalex.org/W2793258129","https://openalex.org/W3214939895","https://openalex.org/W4205126686","https://openalex.org/W4205495814","https://openalex.org/W4221033272","https://openalex.org/W4224941531","https://openalex.org/W4243863038","https://openalex.org/W4319599881","https://openalex.org/W4361981235","https://openalex.org/W4379470062","https://openalex.org/W4393161426","https://openalex.org/W4394065206","https://openalex.org/W4399865351","https://openalex.org/W4400513275","https://openalex.org/W4402462541"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Clean":[1],"drinking":[2],"water":[3,21],"is":[4,25,154],"essential":[5],"for":[6],"a":[7,41,48,80],"sustainable":[8,14],"society":[9],"as":[10,47],"emphasized":[11],"by":[12,102,163],"UN\u2019s":[13],"developmental":[15],"goal":[16],"6.":[17],"Efficient":[18],"management":[19],"of":[20,66,75,79,133,148,161,175,186,189],"distribution":[22],"systems":[23,191],"(WDSs)":[24],"vital":[26],"to":[27,84,89,129,144,169,182,196],"ensure":[28],"this":[29,95,99],"goal.":[30],"Conventional":[31],"approaches":[32],"rely":[33],"on":[34,104],"computationally":[35],"expensive":[36],"hydraulic":[37,110],"simulations.":[38],"Instead,":[39],"using":[40],"pre-trained":[42],"physics-informed":[43],"graph":[44],"neural":[45],"network":[46],"surrogate":[49,82,123,194],"model,":[50],"we":[51,97,108,120,157,178],"solve":[52,85,130,197],"such":[53],"real-world":[54,198],"problems":[55],"with":[56,126],"gradient":[57],"methods.":[58],"This":[59],"does":[60],"not":[61],"only":[62],"enable":[63],"end-to-end":[64,187],"optimization":[65],"WDS":[67],"attributes":[68],"but":[69],"demonstrates":[70],"the":[71,77,90,122,131,139,146,159,173,180,184],"more":[72],"general":[73],"concept":[74,185],"leveraging":[76],"differentiability":[78,188],"deep":[81,193],"model":[83,124],"downstream":[86],"tasks":[87,199],"related":[88],"underlying":[91],"complex":[92,190],"system.":[93],"In":[94],"work,":[96],"demonstrate":[98],"novel":[100],"principle":[101],"focusing":[103],"three":[105],"tasks:":[106],"First,":[107],"estimate":[109],"states":[111],"from":[112],"sparse":[113],"sensory":[114],"information,":[115],"achieving":[116],"SOTA":[117],"performance.":[118],"Second,":[119],"use":[121,138,183],"combined":[125],"information":[127],"theory":[128],"task":[132,143],"optimal":[134],"sensor":[135,150],"placement.":[136],"We":[137],"sparse-to-dense":[140],"pressure":[141],"estimation":[142],"gauge":[145],"quality":[147],"our":[149,176],"placements,":[151],"which":[152],"itself":[153],"non-trivial.":[155],"Finally,":[156],"plan":[158],"rehabilitation":[160],"WDSs":[162],"optimizing":[164],"pipe":[165],"diameters":[166],"in":[167,200],"response":[168],"changing":[170],"demands.":[171],"To":[172],"best":[174],"knowledge,":[177],"are":[179],"first":[181],"via":[192],"models":[195],"WDSs.":[201]},"counts_by_year":[],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2025-10-10T00:00:00"}