{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:14:16Z","timestamp":1792786456099,"version":"4.5.0"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"College of Science and Technology, Ningbo University, through the Researchers Supporting Project","award":["RC202509"],"award-info":[{"award-number":["RC202509"]}]},{"name":"Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Climate, Energy and Environment (MCEE), Republic of Korea","award":["RS-2022-KP002703"],"award-info":[{"award-number":["RS-2022-KP002703"]}],"id":[{"id":"https:\/\/ror.org\/02zq38y32","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Institute of Information and Communications Technology Planning and Evaluation","id":[{"id":"https:\/\/ror.org\/01g0hqq23","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Korean Government","award":["RS-2020-II201373"],"award-info":[{"award-number":["RS-2020-II201373"]}]},{"name":"Artificial Intelligence Graduate School Program, Hanyang University; and in part by the research fund of Hanyang University","award":["202000000000331"],"award-info":[{"award-number":["202000000000331"]}],"id":[{"id":"https:\/\/ror.org\/046865y68","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3726086","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T19:06:33Z","timestamp":1787598393000},"page":"145179-145199","source":"Crossref","is-referenced-by-count":0,"title":["Leakage-Controlled High-(\n                    <i>d<\/i>\n                    <sub>33<\/sub>\n                    ) Prediction and Uncertainty-Aware Candidate Prioritization in Lead-Free KNN-Based Piezoelectric Ceramics Using PGU-RNet"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9690-9988","authenticated-orcid":false,"given":"Hao","family":"Zhang","sequence":"first","affiliation":[{"name":"Ningbo University","place":["Ningbo, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quan","family":"Wang","sequence":"additional","affiliation":[{"name":"Quzhou College of Technology","place":["Quzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anuruddh","family":"Kumar","sequence":"additional","affiliation":[{"name":"Hanyang University, Seongdond-gu","place":["Seoul, South Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3524-7500","authenticated-orcid":false,"given":"Tae Hyun","family":"Sung","sequence":"additional","affiliation":[{"name":"Hanyang University, Seongdond-gu","place":["Seoul, South Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10832-007-9095-5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1551-2916.2009.03061.x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nature03028"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.103.257602"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1021\/ja500076h"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1021\/jacs.9b07188"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeurceramsoc.2014.12.013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1063\/5.0006261"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1021\/cr5006809"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-53020-y"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-018-0337-2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1063\/1.4946894"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.26599\/JAC.2023.9220762"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1021\/acsami.5c14694"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41524-023-01187-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/npjcompumats.2016.28"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41524-019-0221-0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.120.145301"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1021\/acs.chemmater.9b01294"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41524-020-00406-3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevMaterials.2.083802"},{"key":"ref22","first-page":"18932","article-title":"Revisiting deep learning models for tabular data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Gorishniy"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16826"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1088\/2632-2153\/ab7e1a"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1021\/acs.chemrev.1c00021"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6226-1"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref30","first-page":"1","article-title":"LightGBM: A highly efficient gradient boosting decision tree","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Ke"},{"key":"ref31","first-page":"6638","article-title":"CatBoost: Unbiased boosting with categorical features","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Prokhorenkova"},{"key":"ref32","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref33","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017","journal-title":"arXiv:1711.05101"},{"key":"ref34","article-title":"Layer normalization","author":"Ba","year":"2016","journal-title":"arXiv:1607.06450"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.012"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4380-9_35"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295309"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-7-91"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248548"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.2307\/3001968"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4380-9_41"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2013.00863"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.623"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1063\/1.4812323"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1038\/s41524-020-00440-1"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11664050.pdf?arnumber=11664050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T19:07:54Z","timestamp":1790622474000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11664050\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3726086","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}