@article{754638,
      recid = {754638},
      author = {Hirata, Akihiko, and Matsue, Kaname, and Chen, Mingwei,},
      title = {Structural analysis of metallic glasses with computational  homology [electronic resource] /},
      pages = {1 online resource (xiv, 66 pages) :},
      abstract = {This book introduces the application of computational  homology for structural analysis of metallic glasses.  Metallic glasses, relatively new materials in the field of  metals, are the next-generation structural and functional  materials owing to their excellent properties. To  understand their properties and to develop novel metallic  glass materials, it is necessary to uncover their atomic  structures which have no periodicity, unlike crystals.  Although many experimental and simulation studies have been  performed to reveal the structures, it is extremely  difficult to perceive a relationship between structures and  properties without an appropriate point of view, or  language. The purpose here is to show how a new approach  using computational homology gives a useful insight into  the interpretation of atomic structures. It is noted that  computational homology has rapidly developed and is now  widely applied for various data analyses. The book begins  with a brief basic survey of metallic glasses and  computational homology, then goes on to the detailed  procedures and interpretation of computational homology  analysis for metallic glasses. Understandable and readable  information for both materials scientists and  mathematicians is also provided.},
      url = {http://library.usi.edu/record/754638},
      doi = {https://doi.org/10.1007/978-4-431-56056-2},
}