{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T09:27:35Z","timestamp":1787390855125,"version":"3.56.0"},"reference-count":35,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T00:00:00Z","timestamp":1787356800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T00:00:00Z","timestamp":1787356800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["22278308"],"award-info":[{"award-number":["22278308"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin Municipality","doi-asserted-by":"publisher","award":["24JCZXJC00250"],"award-info":[{"award-number":["24JCZXJC00250"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Materials"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    The vast, unexplored synthesis space of LNMCO cathode materials contains potential solutions to the long\u2010standing trade\u2010off between energy density and stability. To navigate this high\u2010dimensional space, a predictive tool capable of accurately mapping the complex relationships between synthesis parameters and electrochemical performance is essential. Here, a cascaded neural network (CaNN) architecture was designed to simulate the material synthesis workflow. This model synchronously maps 37 process dimensions within the composition\u2010processing\u2010structure\u2010property\u2010performance (CPSPP) paradigm. By utilizing a cascaded structure, the output of upstream prediction tasks serves as the input for downstream tasks, enabling the capture of hierarchical dependencies that govern material properties. This design choice proved highly effective, achieving superior predictive accuracy with an overall coefficient of determination (\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    ) of 0.85. Furthermore, SHAP analysis was integrated to open the model's \u201cblack box,\u201d demonstrating a mechanism\u2010informed approach where predictions align closely with the underlying physical laws of structural inheritance. Experimental validation of nine candidates spanning diverse compositions and synthesis routes confirms the predictive accuracy of the strategy (prediction errors &lt; 10%), establishing a \u201cCaNN modeling \u2192 Latin Hypercube Sampling \u2192\n                    <jats:italic>Wa<\/jats:italic>\n                    Screening \u2192 Experiments validation\u201d framework for the accelerated discovery of high\u2010performance cathode materials.\n                  <\/jats:p>","DOI":"10.1002\/adma.74750","type":"journal-article","created":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T09:07:24Z","timestamp":1787389644000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data\u2010Driven Accelerated Discovery of LNMCO Cathodes Materials via 37\u2010Dimensional Parameter Space Mining With a Cascaded Neural Network"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3542-3009","authenticated-orcid":false,"given":"Chenfeng","family":"Wang","sequence":"first","affiliation":[{"name":"School of Chemical Engineering and Technology Tianjin University  Tianjin P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3489-9439","authenticated-orcid":false,"given":"Quanjiang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Chemical Engineering and Technology Tianjin University  Tianjin P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lihong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Chemical Engineering and Technology Tianjin University  Tianjin P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Chemical Engineering and Technology Tianjin University  Tianjin P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Chemical Engineering and Technology Tianjin University  Tianjin P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1924-9426","authenticated-orcid":false,"given":"Zundong","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Chemical Engineering and Technology Tianjin University  Tianjin P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3727-9071","authenticated-orcid":false,"given":"Aoxuan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Chemical Engineering and Technology Tianjin University  Tianjin P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2616-0895","authenticated-orcid":false,"given":"Xingjiang","family":"Liu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Chemical and Physical Power Sources Tianjin Institute of Power Sources  Tianjin P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5380-1862","authenticated-orcid":false,"given":"Rijie","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Chemical Engineering and Technology Tianjin University  Tianjin P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,22]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.117849"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/anie.201409262"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ensm.2019.08.013"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010020\u201015355\u20100"},{"issue":"6","key":"e_1_2_11_6_1","doi-asserted-by":"crossref","first-page":"319","DOI":"10.3390\/batteries9060319","article-title":"Research Progress on Doping and Coating of High\u2010Nickel Cathode Materials for Lithium\u2010Ion Batteries","volume":"9","author":"Lv F.","year":"2023","journal-title":"Batteries"},{"issue":"48","key":"e_1_2_11_7_1","first-page":"44919","article-title":"Li\u2013Nb\u2013O Coating\/Substitution Enhances the Electrochemical Performance of the LiNi0.8Mn0.1Co0.1O2 (NMC 811) Cathode","volume":"11","author":"Xin F.","year":"2019","journal-title":"ACS Applied Materials & Interfaces"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.chemmater.0c02398"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1149\/2.0021707jes"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.277.5330.1237"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586\u2010018\u20100337\u20102"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ensm.2020.09.005"},{"issue":"2","key":"e_1_2_11_13_1","first-page":"55","article-title":"A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code","volume":"21","author":"McKay M. 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