Literature DB >> 26150288

Persistent homology and many-body atomic structure for medium-range order in the glass.

Takenobu Nakamura1, Yasuaki Hiraoka, Akihiko Hirata, Emerson G Escolar, Yasumasa Nishiura.   

Abstract

The characterization of the medium-range (MRO) order in amorphous materials and its relation to the short-range order is discussed. A new topological approach to extract a hierarchical structure of amorphous materials is presented, which is robust against small perturbations and allows us to distinguish it from periodic or random configurations. This method is called the persistence diagram (PD) and introduces scales to many-body atomic structures to facilitate size and shape characterization. We first illustrate the representation of perfect crystalline and random structures in PDs. Then, the MRO in amorphous silica is characterized using the appropriate PD. The PD approach compresses the size of the data set significantly, to much smaller geometrical summaries, and has considerable potential for application to a wide range of materials, including complex molecular liquids, granular materials, and metallic glasses.

Entities:  

Year:  2015        PMID: 26150288     DOI: 10.1088/0957-4484/26/30/304001

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  9 in total

1.  Hierarchical structures of amorphous solids characterized by persistent homology.

Authors:  Yasuaki Hiraoka; Takenobu Nakamura; Akihiko Hirata; Emerson G Escolar; Kaname Matsue; Yasumasa Nishiura
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-13       Impact factor: 11.205

2.  Materials inspired by mathematics.

Authors:  Motoko Kotani; Susumu Ikeda
Journal:  Sci Technol Adv Mater       Date:  2016-06-08       Impact factor: 8.090

3.  Pore configuration landscape of granular crystallization.

Authors:  M Saadatfar; H Takeuchi; V Robins; N Francois; Y Hiraoka
Journal:  Nat Commun       Date:  2017-05-12       Impact factor: 14.919

4.  High-Throughput Screening Approach for Nanoporous Materials Genome Using Topological Data Analysis: Application to Zeolites.

Authors:  Yongjin Lee; Senja D Barthel; Paweł Dłotko; Seyed Mohamad Moosavi; Kathryn Hess; Berend Smit
Journal:  J Chem Theory Comput       Date:  2018-07-30       Impact factor: 6.006

5.  Improved understanding of aqueous solubility modeling through topological data analysis.

Authors:  Mariam Pirashvili; Lee Steinberg; Francisco Belchi Guillamon; Mahesan Niranjan; Jeremy G Frey; Jacek Brodzki
Journal:  J Cheminform       Date:  2018-11-20       Impact factor: 5.514

Review 6.  Topology Applied to Machine Learning: From Global to Local.

Authors:  Henry Adams; Michael Moy
Journal:  Front Artif Intell       Date:  2021-05-14

7.  Noise robustness of persistent homology on greyscale images, across filtrations and signatures.

Authors:  Renata Turkeš; Jannes Nys; Tim Verdonck; Steven Latré
Journal:  PLoS One       Date:  2021-09-24       Impact factor: 3.240

8.  Non-empirical identification of trigger sites in heterogeneous processes using persistent homology.

Authors:  Masao Kimura; Ippei Obayashi; Yasuo Takeichi; Reiko Murao; Yasuaki Hiraoka
Journal:  Sci Rep       Date:  2018-02-23       Impact factor: 4.379

9.  Classification of apatite structures via topological data analysis: a framework for a 'Materials Barcode' representation of structure maps.

Authors:  Scott Broderick; Ruhil Dongol; Tianmu Zhang; Krishna Rajan
Journal:  Sci Rep       Date:  2021-06-02       Impact factor: 4.379

  9 in total

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