Predicting Room‐Temperature Conductivity of Na‐Ion Super Ionic Conductors with the Minimal Number of Easily‐Accessible Descriptors

Given the vast compositional possibilities NanMmMm′′Si3−p−aPpAsaO12, Na‐ion superionic conductors are attractive but complicated for designing materials with enhanced room‐temperature Na‐ion conductivity σNa,300 K. An explicit regression model for σNa,300 K with easily‐accessible descriptors is prop...

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Main Authors: Seong‐Hoon Jang, Randy Jalem, Yoshitaka Tateyama
Format: Article
Language:English
Published: Wiley-VCH 2024-12-01
Series:Advanced Energy & Sustainability Research
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Online Access:https://doi.org/10.1002/aesr.202400158
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author Seong‐Hoon Jang
Randy Jalem
Yoshitaka Tateyama
author_facet Seong‐Hoon Jang
Randy Jalem
Yoshitaka Tateyama
author_sort Seong‐Hoon Jang
collection DOAJ
description Given the vast compositional possibilities NanMmMm′′Si3−p−aPpAsaO12, Na‐ion superionic conductors are attractive but complicated for designing materials with enhanced room‐temperature Na‐ion conductivity σNa,300 K. An explicit regression model for σNa,300 K with easily‐accessible descriptors is proposed by exploiting density functional theory molecular dynamics (DFT‐MD). Initially, it is demonstrated that two primary descriptors, the bottleneck width along Na‐ion diffusion paths d1 and the average Na–Na distance ⟨dNa−Na⟩, modulate room‐temperature Na‐ion self‐diffusion coefficient DNa,300 K. Then, two secondary easily‐accessible descriptors are introduced: Na‐ion content n, which influences d1, ⟨dNa−Na⟩, and Na‐ion density ρNa; and the average ionic radius ⟨rM⟩ of metal ions, which impacts d1 and ⟨dNa−Na⟩. These secondary descriptors enable the development of a regression model for σNa,300 K with n and ⟨rM⟩ only. Subsequently, this model identifies a promising yet unexplored stable composition, Na2.75Zr1.75Nb0.25Si2PO12, which, upon DFT‐MD calculations, indeed exhibits σNa,300 K>10−3 S cm−1. Furthermore, the adjusted version effectively fits 140 experimental values with R2=0.718.
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spelling doaj-art-095b8cbdfa5f4d6e9b61fc1abc73f94d2024-12-09T11:24:50ZengWiley-VCHAdvanced Energy & Sustainability Research2699-94122024-12-01512n/an/a10.1002/aesr.202400158Predicting Room‐Temperature Conductivity of Na‐Ion Super Ionic Conductors with the Minimal Number of Easily‐Accessible DescriptorsSeong‐Hoon Jang0Randy Jalem1Yoshitaka Tateyama2Institute for Materials Research Tohoku University 2‐1‐1 Katahira Aoba‐ku Sendai 980‐8577 JapanResearch Center for Energy and Environmental Materials (GREEN) National Institute for Materials Science (NIMS) 1‐1 Namiki Tsukuba Ibaraki 305‐0044 JapanResearch Center for Energy and Environmental Materials (GREEN) National Institute for Materials Science (NIMS) 1‐1 Namiki Tsukuba Ibaraki 305‐0044 JapanGiven the vast compositional possibilities NanMmMm′′Si3−p−aPpAsaO12, Na‐ion superionic conductors are attractive but complicated for designing materials with enhanced room‐temperature Na‐ion conductivity σNa,300 K. An explicit regression model for σNa,300 K with easily‐accessible descriptors is proposed by exploiting density functional theory molecular dynamics (DFT‐MD). Initially, it is demonstrated that two primary descriptors, the bottleneck width along Na‐ion diffusion paths d1 and the average Na–Na distance ⟨dNa−Na⟩, modulate room‐temperature Na‐ion self‐diffusion coefficient DNa,300 K. Then, two secondary easily‐accessible descriptors are introduced: Na‐ion content n, which influences d1, ⟨dNa−Na⟩, and Na‐ion density ρNa; and the average ionic radius ⟨rM⟩ of metal ions, which impacts d1 and ⟨dNa−Na⟩. These secondary descriptors enable the development of a regression model for σNa,300 K with n and ⟨rM⟩ only. Subsequently, this model identifies a promising yet unexplored stable composition, Na2.75Zr1.75Nb0.25Si2PO12, which, upon DFT‐MD calculations, indeed exhibits σNa,300 K>10−3 S cm−1. Furthermore, the adjusted version effectively fits 140 experimental values with R2=0.718.https://doi.org/10.1002/aesr.202400158beta regression modelingmaterials designmaterials informaticssolid electrolytes
spellingShingle Seong‐Hoon Jang
Randy Jalem
Yoshitaka Tateyama
Predicting Room‐Temperature Conductivity of Na‐Ion Super Ionic Conductors with the Minimal Number of Easily‐Accessible Descriptors
Advanced Energy & Sustainability Research
beta regression modeling
materials design
materials informatics
solid electrolytes
title Predicting Room‐Temperature Conductivity of Na‐Ion Super Ionic Conductors with the Minimal Number of Easily‐Accessible Descriptors
title_full Predicting Room‐Temperature Conductivity of Na‐Ion Super Ionic Conductors with the Minimal Number of Easily‐Accessible Descriptors
title_fullStr Predicting Room‐Temperature Conductivity of Na‐Ion Super Ionic Conductors with the Minimal Number of Easily‐Accessible Descriptors
title_full_unstemmed Predicting Room‐Temperature Conductivity of Na‐Ion Super Ionic Conductors with the Minimal Number of Easily‐Accessible Descriptors
title_short Predicting Room‐Temperature Conductivity of Na‐Ion Super Ionic Conductors with the Minimal Number of Easily‐Accessible Descriptors
title_sort predicting room temperature conductivity of na ion super ionic conductors with the minimal number of easily accessible descriptors
topic beta regression modeling
materials design
materials informatics
solid electrolytes
url https://doi.org/10.1002/aesr.202400158
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