Literature DB >> 25080933

Accelerated discovery of cathode materials with prolonged cycle life for lithium-ion battery.

Motoaki Nishijima1, Takuya Ootani1, Yuichi Kamimura1, Toshitsugu Sueki1, Shogo Esaki1, Shunsuke Murai2, Koji Fujita2, Katsuhisa Tanaka2, Koji Ohira3, Yukinori Koyama3, Isao Tanaka3.   

Abstract

Large-scale battery systems are essential for efficiently utilizing renewable energy power sources from solar and wind, which can generate electricity only intermittently. The use of lithium-ion batteries to store the generated energy is one solution. A long cycle life is critical for lithium-ion battery when used in these applications; this is different from portable devices which require 1,000 cycles at most. Here we demonstrate a novel co-substituted lithium iron phosphate cathode with estimated 70%-capacity retention of 25,000 cycles. This is found by exploring a wide chemical compositional space using density functional theory calculations. Relative volume change of a compound between fully lithiated and delithiated conditions is used as the descriptor for the cycle life. On the basis of the results of the screening, synthesis of selected materials is targeted. Single-phase samples with the required chemical composition are successfully made by an epoxide-mediated sol-gel method. The optimized materials show excellent cycle-life performance as lithium-ion battery cathodes.

Entities:  

Year:  2014        PMID: 25080933     DOI: 10.1038/ncomms5553

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  9 in total

1.  General synthesis of complex nanotubes by gradient electrospinning and controlled pyrolysis.

Authors:  Chaojiang Niu; Jiashen Meng; Xuanpeng Wang; Chunhua Han; Mengyu Yan; Kangning Zhao; Xiaoming Xu; Wenhao Ren; Yunlong Zhao; Lin Xu; Qingjie Zhang; Dongyuan Zhao; Liqiang Mai
Journal:  Nat Commun       Date:  2015-06-11       Impact factor: 14.919

2.  Multifunctional structural design of graphene thermoelectrics by Bayesian optimization.

Authors:  Masaki Yamawaki; Masato Ohnishi; Shenghong Ju; Junichiro Shiomi
Journal:  Sci Adv       Date:  2018-06-15       Impact factor: 14.136

3.  A general representation scheme for crystalline solids based on Voronoi-tessellation real feature values and atomic property data.

Authors:  Randy Jalem; Masanobu Nakayama; Yusuke Noda; Tam Le; Ichiro Takeuchi; Yoshitaka Tateyama; Hisatsugu Yamazaki
Journal:  Sci Technol Adv Mater       Date:  2018-03-19       Impact factor: 8.090

4.  High-throughput combinatorial screening of multi-component electrolyte additives to improve the performance of Li metal secondary batteries.

Authors:  Shoichi Matsuda; Kiho Nishioka; Shuji Nakanishi
Journal:  Sci Rep       Date:  2019-04-17       Impact factor: 4.379

5.  Search for high-capacity oxygen storage materials by materials informatics.

Authors:  Nobuko Ohba; Takuro Yokoya; Seiji Kajita; Kensuke Takechi
Journal:  RSC Adv       Date:  2019-12-17       Impact factor: 3.361

6.  Selective Doping to Controllably Tailor Maximum Unit-Cell-Volume Change of Intercalating Li+ -Storage Materials: A Case Study of γ Phase Li3 VO4.

Authors:  Jianbin Deng; Changpeng Lv; Tian Jiang; Siyuan Ma; Xuehua Liu; Chunfu Lin
Journal:  Adv Sci (Weinh)       Date:  2022-06-24       Impact factor: 17.521

7.  Bayesian-Driven First-Principles Calculations for Accelerating Exploration of Fast Ion Conductors for Rechargeable Battery Application.

Authors:  Randy Jalem; Kenta Kanamori; Ichiro Takeuchi; Masanobu Nakayama; Hisatsugu Yamasaki; Toshiya Saito
Journal:  Sci Rep       Date:  2018-04-11       Impact factor: 4.379

8.  Synergy of Binary Substitutions for Improving the Cycle Performance in LiNiO2 Revealed by Ab Initio Materials Informatics.

Authors:  Tomohiro Yoshida; Ryo Maezono; Kenta Hongo
Journal:  ACS Omega       Date:  2020-06-01

9.  Predicting material properties by integrating high-throughput experiments, high-throughput ab-initio calculations, and machine learning.

Authors:  Yuma Iwasaki; Masahiko Ishida; Masayuki Shirane
Journal:  Sci Technol Adv Mater       Date:  2019-12-20       Impact factor: 8.090

  9 in total

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