• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2022 Fiscal Year Annual Research Report

Metallo-Dielectric Janus Particles as Building Blocks for Designer Active Materials

Research Project

Project/Area Number 20K03786
Research InstitutionKyoto University

Principal Investigator

MOLINA JOHN  京都大学, 工学研究科, 助教 (20727581)

Project Period (FY) 2020-04-01 – 2023-03-31
KeywordsActive Particles / Fluid Dynamics / Machine Learning / Flow Inference / Multi-Scale Simulations
Outline of Annual Research Achievements

As part of an ongoing collaboration, we have focused on active particles in complex environments, i.e., at fluid interfaces and in viscoelastic fluids, typical of biological systems. For the former, we investigated how the swimming type, interface curvature, viscosity ratio, and incoming angle determine the swimmer dynamics. For the latter, we studied the origin of the velocity enhancement/decrease for microswimmers with swirl in viscoelastic fluids. Finally, the work on the collective motion of Quincke rollers, explaining the role of near/far-field hydrodynamics and electrostatics in the different collective modes observed experimentally, has been published.

Furthermore, we have continued the development of Machine Learning (ML) methods to solve Soft-Matter flow problems. First, we used Bayesian ML to develop a Stokesian inference framework to solve forward/inverse problems using partial and/or noisy data. For example, to reconstruct the flow field and infer the location of boundaries using sparse velocity measurements. Second, we expanded our method for learning constitutive relations of complex fluids. It was originally tested on non-interacting polymer models (i.e., linear relations), but has now been applied to entangled polymers (i.e., non-linear relations). Simulating 2D flow problems shows an order of magnitude speed increase compared to Multi-Scale Simulations, with no loss of accuracy. Finally, using reinforcement-learning we have also studied how active/swimming particles can learn to navigate complex flows using local hydrodynamic signals.

  • Research Products

    (19 results)

All 2023 2022

All Journal Article (4 results) (of which Int'l Joint Research: 3 results,  Peer Reviewed: 3 results,  Open Access: 1 results) Presentation (15 results) (of which Int'l Joint Research: 10 results,  Invited: 1 results)

  • [Journal Article] Collective Motion of Quincke Rollers with Fully Resolved Hydrodynamics2023

    • Author(s)
      Imamura Shun、Sawaki Kohei、Molina John J.、Turner Matthew S.、Yamamoto Ryoichi
    • Journal Title

      Advanced Theory and Simulations

      Volume: 6 Pages: 1~10

    • DOI

      10.1002/adts.202200683

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Direct numerical simulations of isolated rigid particles; Validation of smooth profile method2023

    • Author(s)
      Uzair Muhammad、Qasim M. Danyal、Bhatti M. Aashan、Zaidi Ali Abbas、Molina John J.、Yamamoto Ryoichi、Hamid Adnan
    • Journal Title

      Powder Technology

      Volume: 418 Pages: 118280~118280

    • DOI

      10.1016/j.powtec.2023.118280

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] からみ合い高分子溶融体の流動解析手法の進展 : マルチスケールシミュレーション法と機械学習の融合2023

    • Author(s)
      Miyamoto Souta、Molina John J.、Taniguchi Takashi
    • Journal Title

      化学工学会誌

      Volume: 87 Pages: 111~113

  • [Journal Article] Dynamics of microswimmers near a soft penetrable interface2022

    • Author(s)
      Feng Chao、Molina John J.、Turner Matthew S.、Yamamoto Ryoichi
    • Journal Title

      Physical Review Research

      Volume: 4 Pages: 1~11

    • DOI

      10.1103/PhysRevResearch.4.043202

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Direct numerical simulations of microswimmers in viscoelastic fluids2023

    • Author(s)
      Takuya Kobayashi (*), John J. Molina, Ryoichi Yamamoto
    • Organizer
      IWEAYR-16 : The 16th International Workshop for East Asian Young Rheologists
    • Int'l Joint Research
  • [Presentation] Direct Numerical Simulation of Metallodielectric Janus Particles2023

    • Author(s)
      John J. Molina (*), Takuya Eriguchi, Ryoichi Yamamoto
    • Organizer
      APS March Meeting 2023
    • Int'l Joint Research
  • [Presentation] Direct numerical simulations of a model microswimmer near a liquid-liquid interface2023

    • Author(s)
      Chao Feng (*), John J. Molina, Matthew S. Turner, Ryoichi Yamamoto
    • Organizer
      Active Matter Workshop 2023
  • [Presentation] Applications of machine-learned constitutive relations to simulate well-entangled polymer melt flows2022

    • Author(s)
      Souta Miyamoto (*), John J. Molina, Takashi Taniguchi
    • Organizer
      PPS-37 : The 37th International Conference of the Polymer Processing Society
    • Int'l Joint Research
  • [Presentation] Flow Problems as Inference Problems2022

    • Author(s)
      Kenta Ogawa, John J. Molina (*), Takashi Taniguchi
    • Organizer
      PPS-37 : The 37th International Conference of the Polymer Processing Society
    • Int'l Joint Research
  • [Presentation] Dynamics of micro-swimmers near deformable and penetrable interfaces2022

    • Author(s)
      Chao Feng (*), John J. Molina, Matthew S. Turner, Ryoichi Yamamoto
    • Organizer
      APPC15 : The 15th Asia Pacific Physics Conference
    • Int'l Joint Research
  • [Presentation] Microswimmers in viscoelastic fluids2022

    • Author(s)
      Takuya Kobayashi (*), John J. Molina, Ryoichi Yamamoto
    • Organizer
      APPC15 : The 15th Asia Pacific Physics Conference
    • Int'l Joint Research
  • [Presentation] Learning to swim efficiently in a nonuniform flow field2022

    • Author(s)
      Krongtum Sankawtong (*), John J. Molina, Matthew S. Turner, Ryoichi Yamamoto
    • Organizer
      ISMC 2022 : The International Soft Matter Conference
    • Int'l Joint Research
  • [Presentation] Machine-learned constitutive relations for simulating well-entangled polymer melts for their history-dependent flows2022

    • Author(s)
      Souta Miyamoto (*), John J. Molina, Takashi Taniguchi
    • Organizer
      The Society of Rheology 93rd Annual Meeting
    • Int'l Joint Research
  • [Presentation] Machine Learning Physics for Flowing Soft Matter2022

    • Author(s)
      John J. Molina (*), Kenta Ogawa, Souta Miyamoto, Takashi Taniguchi
    • Organizer
      25th Anniversary Symposium of German-Japanese Joint Research Project on Nonequilibrium Statistical PHysics Perspective for Future Collaboration
    • Int'l Joint Research / Invited
  • [Presentation] Inferring hidden utilities from optimal behaviour using physics-informed neural networks2022

    • Author(s)
      John J. Molina (*), Simon K. Schnyder, Mark P. Lynch, Ryoichi Yamamoto, Matthew S. Turner
    • Organizer
      Workshop: Modelling the Covid-19 Pandemic
    • Int'l Joint Research
  • [Presentation] 粘弾性流体中を泳動するマイクロスイマー:回転運動による速度上昇2022

    • Author(s)
      Takuya Kobayashi (*), John J. Molina, Ryoichi Yamamoto
    • Organizer
      日本物理学会 2022年秋季大会
  • [Presentation] 直接数値計算による粘弾性流体中を泳動するマイクロスイマーのダイナミクス2022

    • Author(s)
      Takuya Kobayashi (*), John J. Molina, Ryoichi Yamamoto
    • Organizer
      第70回レオロジー討論会
  • [Presentation] 粘弾性流体中を泳動するモデル微生物の直接数値計算2022

    • Author(s)
      Takuya Kobayashi (*), John J. Molina, Ryoichi Yamamoto
    • Organizer
      第10回ソフトマター研究会
  • [Presentation] Physics Informed Machine Learning for (Inverse) Optimal Control2022

    • Author(s)
      John J. Molina (*), Simon K. Schnyder, Matthew S. Turner, Ryoichi Yamamoto
    • Organizer
      第10回ソフトマター研究会

URL: 

Published: 2023-12-25  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi