{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:13:35Z","timestamp":1763190815838,"version":"3.45.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100012842","name":"Nuclear Power Institute of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012842","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012842","name":"Nuclear Power Institute of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012842","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11227868","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["A Lightweight Architecture for Predicting Neutronic Parameters via Neural Architecture Search"],"prefix":"10.1109","author":[{"given":"Minxiao","family":"Zhong","sequence":"first","affiliation":[{"name":"Sichuan University,College of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingrong","family":"Xie","sequence":"additional","affiliation":[{"name":"Sichuan University,College of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Advanced Nuclear Energy Technology,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanan","family":"Sun","sequence":"additional","affiliation":[{"name":"Sichuan University,College of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pnucene.2010.08.003"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.anucene.2022.109131"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.anucene.2020.107346"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3459022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.anucene.2023.110083"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.13182\/xyz-33839"},{"issue":"1","key":"ref7","first-page":"112","article-title":"Prediction of key core parameter of pwr by adaptive bp neural network","volume":"54","author":"Wang","year":"2020","journal-title":"Atomic Energy Science and Technology"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2983860"},{"issue":"1","key":"ref10","first-page":"25","article-title":"Fundamentals and recent developments of reactor physics methods","volume":"37","author":"Zin","year":"2005","journal-title":"Nuclear Engineering and Technology"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2019.02.193"},{"article-title":"Neural architecture search with reinforcement learning","year":"2016","author":"Zoph","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"article-title":"Darts: Differentiable architecture search","year":"2018","author":"Liu","key":"ref14"},{"issue":"5","key":"ref15","first-page":"825","article-title":"Application of neural networkgenetic composite algorithm in core refueling design for pwr","volume":"54","author":"Wei","year":"2020","journal-title":"Atomic Energy Science and Technology"},{"issue":"1.14","key":"ref16","first-page":"6","article-title":"Prediction of opr1000 neutronic design parameters using convolutional neural network for fuel loading pattern optimization","volume":"2","author":"Janga","year":"2020","journal-title":"Methods"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"issue":"2","key":"ref18","first-page":"279","article-title":"Evaluation of core refueling loading pattern with deep convolutional neural network","volume":"55","author":"Lei","year":"2021","journal-title":"Atomic Energy Science and Technology"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.pnucene.2015.06.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2023.e13883"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/en16104044"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.net.2020.05.010"},{"issue":"2","key":"ref24","first-page":"334","article-title":"Development of digital reactor high-fidelity neutronics code shark","volume":"56","author":"Zhang","year":"2022","journal-title":"Atomic Energy Science and Technology"},{"article-title":"Convolutional neural network applied core peaking factor analysis and sensitivity study for smart core","volume-title":"Transactions of the Korean Nuclear Society Autumn Meeting","author":"Park","key":"ref25"},{"article-title":"Application of convolutional neural network to fuel loading pattern optimization by simulated annealing","volume-title":"Transactions of the Korean Nuclear Society Autumn Meeting","author":"Jang","key":"ref26"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"Simonyan","key":"ref28"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00246"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414568"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11227868.pdf?arnumber=11227868","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:11:20Z","timestamp":1763190680000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11227868\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11227868","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}