{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T22:56:18Z","timestamp":1774652178642,"version":"3.50.1"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.23919\/annsim55834.2022.9859453","type":"proceedings-article","created":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T15:52:45Z","timestamp":1661269965000},"page":"1-17","source":"Crossref","is-referenced-by-count":16,"title":["Composing Modeling And Simulation With Machine Learning In Julia"],"prefix":"10.23919","author":[{"given":"Chris","family":"Rackauckas","sequence":"first","affiliation":[{"name":"Julia Computing Inc., 240 Elm Street,Somerville,MA,USA"}]},{"given":"Maja","family":"Gwozdz","sequence":"additional","affiliation":[{"name":"Julia Computing Inc., 240 Elm Street,Somerville,MA,USA"}]},{"given":"Anand","family":"Jain","sequence":"additional","affiliation":[{"name":"Julia Computing Inc., 240 Elm Street,Somerville,MA,USA"}]},{"given":"Yingbo","family":"Ma","sequence":"additional","affiliation":[{"name":"Julia Computing Inc., 240 Elm Street,Somerville,MA,USA"}]},{"given":"Francesco","family":"Martinuzzi","sequence":"additional","affiliation":[{"name":"Julia Computing Inc., 240 Elm Street,Somerville,MA,USA"}]},{"given":"Utkarsh","family":"Rajput","sequence":"additional","affiliation":[{"name":"Julia Computing Inc., 240 Elm Street,Somerville,MA,USA"}]},{"given":"Elliot","family":"Saba","sequence":"additional","affiliation":[{"name":"Julia Computing Inc., 240 Elm Street,Somerville,MA,USA"}]},{"given":"Viral B.","family":"Shah","sequence":"additional","affiliation":[{"name":"Julia Computing Inc., 240 Elm Street,Somerville,MA,USA"}]},{"given":"Ranjan","family":"Anantharaman","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology, 77 Massachusetts Ave,Computer Science &#x0026; Artifical Intelligence Lab,Cambridge,MA,USA"}]},{"given":"Alan","family":"Edelman","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology, 77 Massachusetts Ave,Computer Science &#x0026; Artifical Intelligence Lab,Cambridge,MA,USA"}]},{"given":"Shashi","family":"Gowda","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology, 77 Massachusetts Ave,Computer Science &#x0026; Artifical Intelligence Lab,Cambridge,MA,USA"}]},{"given":"Avik","family":"Pal","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology, 77 Massachusetts Ave,Computer Science &#x0026; Artifical Intelligence Lab,Cambridge,MA,USA"}]},{"given":"Chris","family":"Laughman","sequence":"additional","affiliation":[{"name":"Mitsubishi Electric Research Lab, 201, Broadway,Cambridge,MA,USA"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3384\/ecp1511831"},{"key":"ref38","doi-asserted-by":"crossref","DOI":"10.26868\/25222708.2015.2405","article-title":"Modelica buildings library 2.0","author":"wetter","year":"2015","journal-title":"Proc of The 14th International Conference of the International Building Performance Simulation Association (Building Simulation 2015)"},{"key":"ref33","article-title":"Energy simulation software for buildings: review and comparison","author":"sousa","year":"2012","journal-title":"International Workshop on Information Technology for Energy Applicatons-IT4Energy"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1017\/S0022112010001217"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/imamat\/16.1.23"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/imamat\/18.2.249"},{"key":"ref37","article-title":"A view on future building system modeling and simulation","author":"wetter","year":"2011","journal-title":"Lawrence Berkeley National Laboratory Technical Report"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2019.05.057"},{"key":"ref35","volume":"375","author":"wanner","year":"1996","journal-title":"Solving Ordinary Differential Equations II"},{"key":"ref34","article-title":"Understanding and mitigating gradient pathologies in physicsinformed neural networks","author":"wang","year":"2020","journal-title":"arXiv preprint arXiv 2001 04786"},{"key":"ref10","article-title":"The OpenModelica modeling, simulation, and development environment","author":"fritzson","year":"2005","journal-title":"46th Conference on Simulation and Modelling of the Scandinavian Simulation Society (SIMS2005)"},{"key":"ref40","article-title":"New generation computational tools for building and community energy systems","volume":"60","author":"wetter","year":"2013","journal-title":"IEA EBC Annex"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0054087"},{"key":"ref12","article-title":"Robertson&#x2019;s example for stiff differential equations","author":"gobbert","year":"1996","journal-title":"University of Arizona Technical Report"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/0168-9274(95)00115-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2993562"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1063\/5.0060697"},{"key":"ref16","article-title":"A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder","author":"kim","year":"2020","journal-title":"arXiv preprint arXiv 2009 11189"},{"key":"ref17","author":"laughman","year":"2014","journal-title":"A Comparison of Transient Heat-Pump Cycle Simulations with Homogeneous and Heterogeneous Flow Models"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1007\/978-3-642-35289-8_36","article-title":"A practical guide to applying echo state networks","author":"luko\u0161evi?ius","year":"2012","journal-title":"Neural Networks Tricks of the Trade"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2009.03.005"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2018.10.045"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3384\/ecp11063105"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5334\/jors.151"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1137\/141000671"},{"key":"ref6","first-page":"808","article-title":"An introduction to the proper orthogonal decomposition","author":"chatterjee","year":"2000","journal-title":"Current Science"},{"key":"ref29","first-page":"gc43d","article-title":"Physics-informed Recurrent Neural Network Surrogates for E3SM Land Model","volume":"2019","author":"ratnaswamy","year":"2019","journal-title":"AGU Fall Meeting Abstracts"},{"key":"ref5","article-title":"Dymola for multi-engineering modeling and simulation","volume":"2002","author":"br\u00fcck","year":"2002","journal-title":"Proceedings of Modelica"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1063\/1.4822377"},{"key":"ref7","article-title":"Neural ordinary differential equations","author":"chen","year":"2018","journal-title":"arXiv preprint arXiv 1806 07134"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/130932715"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CACSD.1999.808720"},{"key":"ref1","article-title":"Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks","author":"anantharaman","year":"2021","journal-title":"Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences"},{"key":"ref20","article-title":"Modeling-Toolkit: A Composable Graph Transformation System For Equation-Based Modeling","author":"ma","year":"2021","journal-title":"arXiv preprint arXiv 2103 05767"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-47436-2_34"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2013.08.061"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2013.11.036"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1080\/19401493.2013.765506"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3384\/ecp17132565"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2004.01.022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3384\/ecp1713263"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq723"},{"key":"ref26","author":"price","year":"2006","journal-title":"Differential Evolution A Practical Approach to Global Optimization"},{"key":"ref43","article-title":"Integrating physics-based modeling with machine learning: A survey","author":"willard","year":"2020","journal-title":"arXiv preprint arXiv 2003 07516"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/0909014"}],"event":{"name":"2022 Annual Modeling and Simulation Conference (ANNSIM)","location":"San Diego, CA, USA","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,20]]}},"container-title":["2022 Annual Modeling and Simulation Conference (ANNSIM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9859263\/9859270\/09859453.pdf?arnumber=9859453","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,15]],"date-time":"2023-02-15T13:22:48Z","timestamp":1676467368000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9859453\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":45,"URL":"https:\/\/doi.org\/10.23919\/annsim55834.2022.9859453","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}