---
OA_place: publisher
_id: '10422'
abstract:
- lang: eng
  text: Those who aim to devise new materials with desirable properties usually examine
    present methods first. However, they will find out that some approaches can exist
    only conceptually without high chances to become practically useful. It seems
    that a numerical technique called automatic differentiation together with increasing
    supply of computational accelerators will soon shift many methods of the material
    design from the category ”unimaginable” to the category ”expensive but possible”.
    Approach we suggest is not an exception. Our overall goal is to have an efficient
    and generalizable approach allowing to solve inverse design problems. In this
    thesis we scratch its surface. We consider jammed systems of identical particles.
    And ask ourselves how the shape of those particles (or the parameters codifying
    it) may affect mechanical properties of the system. An indispensable part of reaching
    the answer is an appropriate particle parametrization. We come up with a simple,
    yet generalizable and purposeful scheme for it. Using our generalizable shape
    parameterization, we simulate the formation of a solid composed of pentagonal-like
    particles and measure anisotropy in the resulting elastic response. Through automatic
    differentiation techniques, we directly connect the shape parameters with the
    elastic response. Interestingly, for our system we find that less isotropic particles
    lead to a more isotropic elastic response. Together with other results known about
    our method it seems that it can be successfully generalized for different inverse
    design problems.
alternative_title:
- ISTA Master's Thesis
article_processing_charge: No
author:
- first_name: Anton
  full_name: Piankov, Anton
  id: 865E3C26-AA8C-11E9-A409-C4C4E5697425
  last_name: Piankov
citation:
  ama: Piankov A. Towards designer materials using customizable particle shape. 2021.
    doi:<a href="https://doi.org/10.15479/at:ista:10422">10.15479/at:ista:10422</a>
  apa: Piankov, A. (2021). <i>Towards designer materials using customizable particle
    shape</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:10422">https://doi.org/10.15479/at:ista:10422</a>
  chicago: Piankov, Anton. “Towards Designer Materials Using Customizable Particle
    Shape.” Institute of Science and Technology Austria, 2021. <a href="https://doi.org/10.15479/at:ista:10422">https://doi.org/10.15479/at:ista:10422</a>.
  ieee: A. Piankov, “Towards designer materials using customizable particle shape,”
    Institute of Science and Technology Austria, 2021.
  ista: Piankov A. 2021. Towards designer materials using customizable particle shape.
    Institute of Science and Technology Austria.
  mla: Piankov, Anton. <i>Towards Designer Materials Using Customizable Particle Shape</i>.
    Institute of Science and Technology Austria, 2021, doi:<a href="https://doi.org/10.15479/at:ista:10422">10.15479/at:ista:10422</a>.
  short: A. Piankov, Towards Designer Materials Using Customizable Particle Shape,
    Institute of Science and Technology Austria, 2021.
corr_author: '1'
date_created: 2021-12-07T10:48:06Z
date_published: 2021-12-07T00:00:00Z
date_updated: 2026-04-08T06:58:55Z
day: '07'
ddc:
- '530'
degree_awarded: MS
department:
- _id: GradSch
- _id: CaGo
doi: 10.15479/at:ista:10422
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  date_updated: 2022-03-10T12:10:25Z
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  file_size: 47638
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  creator: cchlebak
  date_created: 2021-12-07T11:20:35Z
  date_updated: 2021-12-07T11:20:35Z
  file_id: '10426'
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  success: 1
file_date_updated: 2022-03-10T12:10:25Z
has_accepted_license: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
publication_identifier:
  issn:
  - 2791-4585
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Carl Peter
  full_name: Goodrich, Carl Peter
  id: EB352CD2-F68A-11E9-89C5-A432E6697425
  last_name: Goodrich
  orcid: 0000-0002-1307-5074
title: Towards designer materials using customizable particle shape
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2021'
...