{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T06:01:49Z","timestamp":1730268109767,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T00:00:00Z","timestamp":1626825600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T00:00:00Z","timestamp":1626825600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T00:00:00Z","timestamp":1626825600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,21]]},"DOI":"10.1109\/indin45523.2021.9557382","type":"proceedings-article","created":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T17:23:04Z","timestamp":1633972984000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["A Grid-Structured Model of Tubular Reactors"],"prefix":"10.1109","author":[{"given":"Katsiaryna","family":"Haitsiukevich","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samuli","family":"Bergman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cesar","family":"de Araujo Filho","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Corona","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Ilin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"2402","article-title":"Combining differentiable PDE solvers and graph neural networks for fluid flow prediction","author":"belbute-peres","year":"2020","journal-title":"Int Conf Machine Learning"},{"key":"ref11","first-page":"6571","article-title":"Neural ordinary differential equations","volume":"31","author":"chen","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref12","first-page":"4502","article-title":"Interaction networks for learning about objects, relations and physics","volume":"29","author":"battaglia","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690060428"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2007.09.050"},{"article-title":"Layer normalization","year":"2016","author":"ba","key":"ref15"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202133"},{"key":"ref18","article-title":"Augmenting physical models with deep networks for complex dynamics forecasting","author":"guen","year":"2021","journal-title":"Int Conf on Learning Representations"},{"key":"ref19","article-title":"Hamiltonian neural networks","volume":"32","author":"greydanus","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/0009-2509(77)85006-9"},{"key":"ref3","volume":"1","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref8","first-page":"3276","article-title":"Beyond finite layer neural networks: Bridging deep architectures and numerical differential equations","author":"lu","year":"2018","journal-title":"Int Conf Machine Learning"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S0098-1354(98)00191-4"},{"journal-title":"Fundamentals of Chemical Reaction Engineering","year":"2012","author":"davis","key":"ref2"},{"journal-title":"Chemical Reactor Analysis and Design","year":"2010","author":"froment","key":"ref1"},{"key":"ref9","first-page":"3208","article-title":"PDE-net: Learning PDEs from data","author":"long","year":"2018","journal-title":"Int Conf Machine Learning"},{"article-title":"Lagrangian neural networks","year":"2020","author":"cranmer","key":"ref20"}],"event":{"name":"2021 IEEE 19th International Conference on Industrial Informatics (INDIN)","start":{"date-parts":[[2021,7,21]]},"location":"Palma de Mallorca, Spain","end":{"date-parts":[[2021,7,23]]}},"container-title":["2021 IEEE 19th International Conference on Industrial Informatics (INDIN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9557349\/9557353\/09557382.pdf?arnumber=9557382","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:46:51Z","timestamp":1652183211000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9557382\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,21]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/indin45523.2021.9557382","relation":{},"subject":[],"published":{"date-parts":[[2021,7,21]]}}}