{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T13:04:30Z","timestamp":1775135070597,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tase.2022.3158204","type":"journal-article","created":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T21:08:56Z","timestamp":1648501736000},"page":"482-494","source":"Crossref","is-referenced-by-count":22,"title":["A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2159-6128","authenticated-orcid":false,"given":"Shenghan","family":"Guo","sequence":"first","affiliation":[{"name":"School of Manufacturing Systems and Networks, Arizona State University, Mesa, AZ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8433-6326","authenticated-orcid":false,"given":"Weihong","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA"}]},{"given":"Linkan","family":"Bian","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, Mississippi State University, Starkville, MS, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9497-6802","authenticated-orcid":false,"given":"Y. B.","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering and the New Jersey Advanced Engineering Institute, Rutgers, The State University of New Jersey, Piscataway, NJ, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1520\/f3177"},{"key":"ref2","volume-title":"3D Opportunity in Aerospace and Defense: Additive Manufacturing Takes Flight, A Deloitte Series on Additive Manufacturing","author":"Coykendall","year":"2014"},{"key":"ref3","article-title":"Wohlers report 2019: 3D printing and additive manufacturing state of the industry","author":"Wohlers","year":"2019"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-89542-0_2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2017.1417656"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.mfglet.2019.02.001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/70.282547"},{"key":"ref8","first-page":"1","volume-title":"Laser Metal Deposition","year":"2014"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2016.02.084"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.addma.2016.05.005"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1115\/1.4041626"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref13","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"arXiv:1411.1784"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296650"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00828"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3065499"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/125"},{"key":"ref18","first-page":"2642","article-title":"Conditional image synthesis with auxiliary classifier GANs","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Odena"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2901750"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00152"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00369"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2856256"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref25","first-page":"224","article-title":"Generalization and equilibrium in generative adversarial nets (GANs)","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Arora"},{"key":"ref26","first-page":"469","article-title":"Coupled generative adversarial networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref27","first-page":"2670","article-title":"Dual discriminator generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Nguyen"},{"key":"ref28","article-title":"MGAN: Training generative adversarial nets with multiple generators","volume-title":"Proc. 6th Int. Conf. Learn. Represent.","author":"Hoang"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00164"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.addma.2016.04.004"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.actamat.2017.05.003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1063\/1.4811898"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.matdes.2016.05.125"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.commatsci.2017.03.053"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.matdes.2017.11.028"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2021.107122"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s00466-018-1539-z"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/met10050683"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.mfglet.2018.10.002"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.addma.2019.101017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-019-04004-6"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11837-019-03555-z"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2019.1704465"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.5296\/ije.v4i2.1962"},{"key":"ref45","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2015.1102764"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2017.1346522"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirp.2020.04.049"},{"key":"ref49","volume-title":"Materials Properties Handbook: Titanium Alloys","author":"Welsch","year":"1993"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1080\/03081088308817508"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1002\/SERIES1345"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2005.1559688"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8856\/10007430\/09743491.pdf?arnumber=9743491","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:34:26Z","timestamp":1705538066000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9743491\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":52,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tase.2022.3158204","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}