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Molina-lopez, John-jairo

Graduate School of Engineering, Division of Chemical Engineering Assistant Professor

Molina-lopez, John-jairo
list
    Last Updated :2025/05/27

    Basic Information

    Faculty

    • Faculty of Engineering

    Concurrent Affiliation

    • Center for the Promotion of Interdisciplinary Education and Research (C-PiER), スーパーグローバルコース 化学系ユニット

    Academic Degree

    • 修士(物理学)(リヨン高等師範学校)
    • Ph.D.(ピエール&マリー・キュリー大学)

    ID,URL

    researchmap URL

    list
      Last Updated :2025/05/27

      Research

      Research Areas

      • Natural sciences, Bio-, chemical, and soft-matter physics

      Papers

      • Propulsion of a chiral swimmer in viscoelastic fluids
        Takuya Kobayashi; John J. Molina; Ryoichi Yamamoto
        Physical Review Research, 16 Sep. 2024
      • Efficient navigation of cargo-towing microswimmer in non-uniform flow fields
        Krongtum Sankaewtong; John J. Molina; Ryoichi Yamamoto
        Physical Review Research, 16 Sep. 2024
      • Understanding Nash epidemics
        Simon K. Schnyder; John J. Molina; Ryoichi Yamamoto; Matthew S. Turner
        Proceedings of the National Academy of Sciences, 27 Feb. 2025
      • Autonomous navigation of smart microswimmers in non-uniform flow fields
        Krongtum Sankaewtong; John J. Molina; Ryoichi Yamamoto
        Physics of Fluids, 01 Apr. 2024, Peer-reviewed
      • Direct numerical simulations of suspension of disk-shaped particles
        Adnan Hamid; Muhammad Shakaib; John J. Molina; M. Danyal Qasim; Bilal Fareed; Muhammad Uzair; Ryoichi Yamamoto
        Physics of Fluids, 01 Apr. 2024, Peer-reviewed
      • Rational social distancing policy during epidemics with limited healthcare capacity.
        Simon K Schnyder; John J Molina; Ryoichi Yamamoto; Matthew S Turner
        PLoS computational biology, Oct. 2023
      • Stokesian Processes : Inferring Stokes Flows using Physics-Informed Gaussian Processes
        John J. Jairo Molina; Kenta Ogawa; Takashi Taniguchi
        Machine Learning: Science and Technology, 11 Oct. 2023
      • Rational social distancing in epidemics with uncertain vaccination timing
        Simon K. Schnyder; John J. Molina; Ryoichi Yamamoto; Matthew S. Turner
        PLOS ONE, 21 Jul. 2023
      • Dynamics of a Model Microswimmer in the Vicinity of a Liquid Droplet
        Chao Feng; John J. Molina; Ryoichi Yamamoto
        Journal of the Physical Society of Japan, 15 Jul. 2023
      • Learning to swim efficiently in a nonuniform flow field
        Krongtum Sankaewtong; John J. Molina; Matthew S. Turner; Ryoichi Yamamoto
        Physical Review E, 07 Jun. 2023
      • Machine-learned constitutive relations for multi-scale simulations of well-entangled polymer melts
        Souta Miyamoto; John J. Molina; Takashi Taniguchi
        Physics of Fluids, 01 Jun. 2023
      • Dynamics of microswimmers near a liquid–liquid interface with viscosity difference
        Chao Feng; John J. Molina; Matthew S. Turner; Ryoichi Yamamoto
        Physics of Fluids, 01 May 2023
      • Direct numerical simulations of a microswimmer in a viscoelastic fluid
        Takuya Kobayashi; Gerhard Jung; Yuki Matsuoka; Yasuya Nakayama; John J. Molina; Ryoichi Yamamoto
        Soft Matter, 2023
      • Collective Motion of Quincke Rollers with Fully Resolved Hydrodynamics
        Shun Imamura; Kohei Sawaki; John J. Molina; Matthew S. Turner; Ryoichi Yamamoto
        Advanced Theory and Simulations, Apr. 2023
      • 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
        宮本, 奏汰; MOLINA John J; 谷口, 貴志
        化学工学 = Chemical engineering of Japan, Mar. 2023
      • Direct numerical simulations of isolated rigid particles; Validation of smooth profile method
        Muhammad Uzair; M. Danyal Qasim; Muhammad Aashan Bhatti; Ali Abbas Zaidi; Ryoichi Yamamoto; Adnan Hamid
        Powder Technology, Mar. 2023
      • Dynamics of microswimmers near a soft penetrable interface
        Chao Feng; John J. Molina; Matthew S. Turner; Ryoichi Yamamoto
        Physical Review Research, 21 Dec. 2022
      • Machine Learning for the Flow Prediction of Fluids with Memory Effects on the Stress
        Takashi TANIGUCHI; John J. MOLINA
        JAPANESE JOURNAL OF MULTIPHASE FLOW, 15 Sep. 2021, Invited
      • Select Applications of Bayesian Data Analysis and Machine Learning to Flow Problems
        Naoki Seryo; John J. Molina; Takashi Taniguchi
        Nihon Reoroji Gakkaishi, 15 Apr. 2021
      • Smoothed profile method for direct numerical simulations of hydrodynamically interacting particles
        Ryoichi Yamamoto; John J. Molina; Yasuya Nakayama
        Soft Matter, 2021
      • Control of cell colony growth by contact inhibition
        Simon K. Schnyder; John J. Molina; Ryoichi Yamamoto
        Scientific Reports, Dec. 2020, Peer-reviewed
      • Learning the constitutive relation of polymeric flows with memory
        Naoki Seryo; Takeshi Sato; John J. Molina; Takashi Taniguchi
        Physical Review Research, 21 Jul. 2020, Peer-reviewed, Corresponding author
      • Dynamics of a chiral swimmer sedimenting on a flat plate
        Federico Fadda; John Jairo Molina; Ryoichi Yamamoto
        Physical Review E, 18 May 2020, Peer-reviewed
      • A numerical study of sedimentaiton of rod like particles using smooth profile method
        Hamid A.; Arshad A. B.; Mehdi S.; Qasim M. D.; Ullah A.; Molina J. J.; Yamamoto R.
        International Journal of Multiphase Flow, 2020, Peer-reviewed
      • Modeling the mechanosensitivity of fast-crawling cells on cyclically stretched substrates
        Molina John J; Yamamoto Ryoichi
        SOFT MATTER, 28 Jan. 2019, Peer-reviewed
      • Spontaneous spatiotemporal ordering of shape oscillations enhances cell migration
        Campo M; Schnyder Simon K; Molina John J; Speck Th; Yamamoto R
        Soft Matter, 2019, Peer-reviewed
      • Reynolds-number-dependent dynamical transitions on hydrodynamic synchronization modes of externally driven colloids
        Norihiro Oyama; Kosuke Teshigawara; John Jairo Molina; Ryoichi Yamamoto; Takashi Taniguchi
        Physical Review E, 30 Mar. 2018, Peer-reviewed
      • 細胞と組織に対する力学的モデルの構築
        山本 量一; John J. MOLINA; Simon K; SCHNYDER
        生物物理, Jan. 2018, Peer-reviewed
      • Field-induced dipolar attraction between like-charged colloids
        Chunyu Shih; John J. Molina; Ryoichi Yamamoto
        Soft Matter, 2018, Peer-reviewed
      • Direct numerical simulations of correlated settling particles
        Muhammad Shakeel; Adnan Hamid; Atta Ullah; John J. Molina; Ryoichi Yamamoto
        Journal of the Physical Society of Japan, 2018, Peer-reviewed
      • Modeling of Cells which Migrate and Proliferate on a Substrate
        Yamamoto Ryoichi; Molina John J; Schnyder Simon K
        JOURNAL OF COMPUTER CHEMISTRY-JAPAN, 2018, Peer-reviewed
      • Do hydrodynamically assisted binary collisions lead to orientational ordering of microswimmers?
        Norihiro Oyama; John Jairo Molina; Ryoichi Yamamoto
        EUROPEAN PHYSICAL JOURNAL E, Nov. 2017, Peer-reviewed
      • Simulations of Model Microswimmers with Fully Resolved Hydrodynamics
        Norihiro Oyama; John J. Molina; Ryoichi Yamamoto
        JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Oct. 2017, Peer-reviewed
      • Collective motion of cells crawling on a substrate: roles of cell shape and contact inhibition
        Simon K. Schnyder; John J. Molina; Yuki Tanaka; Ryoichi Yamamoto
        SCIENTIFIC REPORTS, Jul. 2017, Peer-reviewed
      • パイプ内での自走粒子の方向秩序形成について
        大山 倫弘; John Jairo Molina; 山本 量一
        日本物理学会講演概要集, Jan. 2017
      • Applications of Soft-Matter Modeling toward Non-Equilibrium and Biological Systems
        山本 量一; 大山 倫弘; John J. MOLINA; Simon K; SCHNYDER
        化学工学 = Chemical engineering of Japan, Jan. 2017
      • Collective behavior of strongly confined suspensions of squirmers
        J. -B. Delfau; J. Molina; M. Sano
        EPL, Apr. 2016, Peer-reviewed
      • Rheological evaluation of colloidal dispersions using the smoothed profile method: formulation and applications
        John J. Molina; Kotaro Otomura; Hayato Shiba; Hideki Kobayashi; Masaki Sano; Ryoichi Yamamoto
        JOURNAL OF FLUID MECHANICS, Apr. 2016, Peer-reviewed
      • Purely hydrodynamic origin for swarming of swimming particles
        Norihiro Oyama; John Jairo Molina; Ryoichi Yamamoto
        PHYSICAL REVIEW E, Apr. 2016, Peer-reviewed
      • KAPSEL: Colloidal dispersion simulator
        Ryoichi Yamamoto; John Jairo Molina
        Computer Simulation of Polymeric Materials: Applications of the OCTA System, 01 Jan. 2016, Peer-reviewed
      • Understanding the polar order formation in swimmer dispersion
        Oyama Norihiro; Molina John Jairo; Yamamoto Ryoichi
        Meeting Abstracts of the Physical Society of Japan, Jan. 2016
      • Dynamic polarisation of a charged colloid in an oscillating electric field
        Chunyu Shih; John J. Molina; Ryoichi Yamamoto
        MOLECULAR PHYSICS, Sep. 2015, Peer-reviewed
      • Simulation studies of microstructure of colloids in sedimentation
        Adnan Hamid; John Jairo Molina; Ryoichi Yamamoto
        MOLECULAR SIMULATION, Aug. 2015, Peer-reviewed
      • Multi-scale modelling of uranyl chloride solutions
        Thanh-Nghi Nguyen; Magali Duvail; Arnaud Villard; John Jairo Molina; Philippe Guilbaud; Jean-Francois Dufreche
        JOURNAL OF CHEMICAL PHYSICS, Jan. 2015, Peer-reviewed
      • Diffusion of colloidal particles in swimming suspensions
        John J. Molina; Ryoichi Yamamoto
        MOLECULAR PHYSICS, May 2014, Peer-reviewed
      • Direct numerical simulations of sedimenting spherical particles at non-zero Reynolds number
        Adnan Hamid; John J. Molina; Ryoichi Yamamoto
        RSC ADVANCES, 2014, Peer-reviewed
      • Water self-diffusion at the surface of silica glasses: effect of hydrophilic to hydrophobic transition
        B. Siboulet; J. Molina; B. Coasne; P. Turq; J. -F. Dufreche
        MOLECULAR PHYSICS, Dec. 2013, Peer-reviewed
      • Direct numerical simulations of rigid body dispersions. I. Mobility/friction tensors of assemblies of spheres
        John J. Molina; Ryoichi Yamamoto
        JOURNAL OF CHEMICAL PHYSICS, Dec. 2013, Peer-reviewed
      • Hydrodynamic interactions of self-propelled swimmers
        John J. Molina; Yasuya Nakayama; Ryoichi Yamamoto
        SOFT MATTER, 2013, Peer-reviewed
      • Sedimentation of non-Brownian spheres at high volume fractions
        Adnan Hamid; John J. Molina; Ryoichi Yamamoto
        SOFT MATTER, 2013, Peer-reviewed
      • Nonequilibrium Vibrational Excitation of OH Radicals Generated During Multibubble Cavitation in Water
        Abdoul Aziz Ndiaye; Rachel Pflieger; Bertrand Siboulet; John Molina; Jean-Francois Dufreche; Sergey I. Nikitenko
        JOURNAL OF PHYSICAL CHEMISTRY A, May 2012, Peer-reviewed
      • A transferable ab initio based force field for aqueous ions
        Sami Tazi; John J. Molina; Benjamin Rotenberg; Pierre Turq; Rodolphe Vuilleumier; Mathieu Salanne
        JOURNAL OF CHEMICAL PHYSICS, Mar. 2012, Peer-reviewed
      • Primitive models of ions in solution from molecular descriptions: A perturbation approach
        John J. Molina; Jean-Francois Dufreche; Mathieu Salanne; Olivier Bernard; Pierre Turq
        JOURNAL OF CHEMICAL PHYSICS, Dec. 2011, Peer-reviewed
      • Atomistic Description of Binary Lanthanoid Salt Solutions: A Coarse-Graining Approach
        John Jairo Molina; Magali Duvail; Jean-Francois Dufreche; Philippe Guilbaud
        JOURNAL OF PHYSICAL CHEMISTRY B, Apr. 2011, Peer-reviewed
      • Ions in solutions: Determining their polarizabilities from first-principles
        John J. Molina; Sebastien Lectez; Sami Tazi; Mathieu Salanne; Jean-Francois Dufreche; Jerome Roques; Eric Simoni; Paul A. Madden; Pierre Turq
        JOURNAL OF CHEMICAL PHYSICS, Jan. 2011, Peer-reviewed
      • Coarse-grained lanthanoid chloride aqueous solutions
        John Jairo Molina; Magali Duvail; Philippe Guilbaud; Jean-Francois Dufreche
        JOURNAL OF MOLECULAR LIQUIDS, May 2010, Peer-reviewed
      • Experiments - Simulations - Theories: Multiscale approaches for solutions
        J. -E Dufreche; N. Malikova; M. Jardat; G. Meriguet; E. Dubois; B. Rotenberg; V. Marry; J. Molina; P. Turq
        NEUTRONS ET SIMULATIONS, JDN 18, 2010, Peer-reviewed
      • Models of electrolyte solutions from molecular descriptions: The example of NaCl solutions
        John Jairo Molina; Jean-Francois Dufreche; Mathieu Salanne; Olivier Bernard; Marie Jardat; Pierre Turq
        PHYSICAL REVIEW E, Dec. 2009, Peer-reviewed
      • Crystal stability of diblock copolymer micelles in solution
        John Jairo Molina; Carlo Pierleoni; Barbara Capone; Jean-Pierre Hansen; Igor Saulo Santos de Oliveira
        MOLECULAR PHYSICS, 2009, Peer-reviewed

      Misc.

      • Viscosity of aqueous electrolyte solutions: The dynamic point of view for hydrophobicity and hydrophilicity
        Jean-Francois Dufreche; Bertrand Siboulet; Magali Duvail; Pierre Turq; John Molina; Biman Bagchi
        ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, Aug. 2014
      • Simulating colloids and self-propelled particles with fully resolved hydrodynamics using the smoothed profile method (SPM)
        Yamamoto, Ryoichi; Molina, John J; Tatsumi, Rei
        Hybrid Particle-Continuum Methods in Computational Materials Physics,46, pp. 11-24, Mar. 2013

      Presentations

      • Learning the constitutive relation of polymeric flows with Memory
        Naoki Seryo; Takeshi Sato; Takashi Taniguchi; John J. Molina
        American Physical Society (APS) March Meeting, 19 Mar. 2021
      • Novel Soft Matter Physics through Computational and Information Science
        John J. Molina
        The Physical Society of Japan 2021 Annual Meeting, 13 Mar. 2021, Invited
      • Learning the Constitutive Relation of Polymer Flows with Memory: from Micro-Scale Dynamics to Macro-Scale Flow
        John J. Molina; Naoki Seryo; Takeshi Sato; Takashi Taniguchi
        SIAM Conference on Computational Science and Engineering (CSE21), 03 Mar. 2021
      • ポリマー加工フローの機械学習
        モリーナ ジョン
        京大テックフォーラム ソフトマター理工学の流れ問題 ~シミュレーションの視点から~, 19 Jan. 2021, Invited
      • Learning the Constitutive Relation of Non-Newtonian Fluids from Microscopic Dynamics
        Naoki Seryo; Takashi Taniguchi; John J. Molina
        18th International Congress on Rheology, 17 Dec. 2020
      • Learning the constitutive relation of polymeric flows with Memory
        Naoki Seryo; Takeshi Sato; John J. Molina; Takashi Taniguchi
        The 68th Annual Meeting of the Society of Rheology, Japan, 21 Oct. 2020
      • Modeling the mechanosensitive response of crawling cells
        John J. Molina; Ryoichi Yamamoto
        Active Matter Workshop 2020, 11 Jan. 2020, Invited
      • Learning the Constitutive Relations of non-Newtonian Fluids with Memory
        Naoki Seryo; John J. Molina; Takashi Taniguchi
        9th Soft Matter Research Meeting, 27 Nov. 2019
      • DNS of Induced-Charge Electrophoretic Janus Particles
        John J. Molina; Ryoichi Yamamoto
        Okinawa Colloids 2019, 07 Nov. 2019
      • DNS of Induced-Charge Electrophoretic Janus Particles
        John J. Molina; Takuma Oguri; Ryoichi Yamamoto
        The 67th Annual Meeting of the Society of Rheology, 18 Oct. 2019
      • Mechanosensitivity of Crawling Cells
        John J. Molina; Ryoichi Yamamoto
        Active Matter Workshop 2019, 11 Jan. 2019
      • Mechanosensitivity of Crawling Cells
        John J. Molina; Ryoichi Yamamoto
        A3 Project International Workshop of Soft Matter, 08 Nov. 2018, Invited
      • Mechanosensitivity of Crawling Cells
        John J. Molina; Ryoichi Yamamoto
        Fukui 2018 Satellite Symposium, 13 Oct. 2018, Invited
      • Mechanosensitivity of Crawling Cells
        John J. Molina; Ryoichi Yamamoto
        Workshop on "Active and collective motion: from cells to organisms", 16 Jul. 2018, Invited
      • Mechanosensitivity of crawling cells
        John J. Molina; Ryoichi Yamamoto
        8th World Congress of Biomechanics, 09 Jul. 2018
      • Mechanosensitivity of crawling cells
        John J. Molina
        Designer Soft Matter, 07 Jun. 2018

      Awards

      • 12 Mar. 2021
        Japanese Physical Society, Young Scientist Award of the Physical Society of Japan

      External funds: Kakenhi

      • Metallo-Dielectric Janus Particles as Building Blocks for Designer Active Materials
        Grant-in-Aid for Scientific Research (C)
        Basic Section 13010:Mathematical physics and fundamental theory of condensed matter physics-related
        Kyoto University
        John Molina
        From 01 Apr. 2020, To 31 Mar. 2023, Project Closed
        Electro-Hydrodynamics;Active Particles;Electrophoresis;Janus Particles;Quincke Rollers;Machine Learning;Multi-Scale Simulations;Flow Inference;Fluid Dynamics;Optimal Control;Active janus particles;Induced charge;DNS;Active Matter
      • Minimal Physical Model of Crawling and Dividing Cells
        Grant-in-Aid for Young Scientists (B)
        Kyoto University
        John Molina
        From 01 Apr. 2017, To 31 Mar. 2022, Project Closed
        Crawling Cells;Dividing Cells;Mechanosenstitivity;Contact Inhibition;Machine Learning;Constitutive Relations;Multi-Scale Simulations;Optimal Control;machine learning;constitutive relations;multi-scale simulations;cell migration;cell proliferation;crawling cells;mechanosensitivity;fast-crawling cells;substrate crawling;phase field modeling;Active Matter;Cell Motility
      • Dynamics of lipid bilayer membrane induced by external stimuli
        Grant-in-Aid for Scientific Research (B)
        Kyoto University
        TAKASHI TANIGUCHI
        From 01 Apr. 2015, To 31 Mar. 2018, Project Closed
        ソフトマター物理;脂質膜;自発曲率;計算物理;ソフトマター物理学;統計力学;シグナル伝達;脂質;ミクロ相分離
      • Simulations of tumor grawth with cell division
        Grant-in-Aid for Challenging Exploratory Research
        Kyoto University
        Ryoichi Yamamoto
        From 01 Apr. 2014, To 31 Mar. 2017, Project Closed
        シミュレーション;アクティブマター;細胞遊走;生体組織;細胞分裂;腫瘍
      • Developments and applications of accurate simulation methods for micro particles and organisms
        Grant-in-Aid for Scientific Research (A)
        Kyoto University
        Ryoichi Yamamoto
        From 27 Jun. 2014, To 31 Mar. 2017, Project Closed
        ソフトマター;アクティブマター;シミュレーション;コロイド;流体力学
      • Physics Informed Machine Learning for Complex Flows
        Grant-in-Aid for Transformative Research Areas (A)
        Transformative Research Areas, Section (II)
        Kyoto University
        MOLINA JOHN
        From 01 Apr. 2023, To 31 Mar. 2025, Granted
        Machine Learning;Stokes Flow;Multi-Scale Simulation;Soft Matter;Multi-Scale Simulations;Polymer Melts;Flow Inference;Gaussian Processes
      • Machine-Learning Inference and Optimal Control of Social Systems
        Grant-in-Aid for Scientific Research (B)
        Basic Section 61030:Intelligent informatics-related
        Kyoto University
        MOLINA JOHN
        From 01 Apr. 2025, To 31 Mar. 2029, Adopted
      • Physics Informed Machine Learning for Soft Matter
        Grant-in-Aid for Transformative Research Areas (A)
        Transformative Research Areas, Section (II)
        Kyoto University
        MOLINA JOHN
        From 01 Apr. 2025, To 31 Mar. 2027, Adopted
      list
        Last Updated :2025/05/27

        Education

        Teaching subject(s)

        • From 01 Apr. 2024, To 31 Mar. 2025
          Advanced Modern Science and Technology (4 times course)
          i055, Fall, Graduate School of Engineering, 0.5
        • From 01 Apr. 2024, To 31 Mar. 2025
          Advanced Modern Science and Technology (8 times course)
          i056, Fall, Graduate School of Engineering, 1
        • From 01 Apr. 2024, To 31 Mar. 2025
          Advanced Modern Science and Technology (12 times course)
          i060, Fall, Graduate School of Engineering, 1.5
        • From 01 Apr. 2024, To 31 Mar. 2025
          ChemicalProcessEngineeringLaboratoryII(Chemical Engineering)
          7313, Fall, Faculty of Engineering, 5
        • From 01 Apr. 2024, To 31 Mar. 2025
          ChemicalProcessEngineeringLaboratoryI(Chemical Engineering)
          7312, Spring, Faculty of Engineering, 5
        • From 01 Apr. 2023, To 31 Mar. 2024
          Advanced Modern Science and Technology (4 times course)
          i055, Fall, Graduate School of Engineering, 0.5
        • From 01 Apr. 2023, To 31 Mar. 2024
          Advanced Modern Science and Technology (8 times course)
          i056, Fall, Graduate School of Engineering, 1
        • From 01 Apr. 2023, To 31 Mar. 2024
          Advanced Modern Science and Technology (12 times course)
          i060, Fall, Graduate School of Engineering, 1.5
        • From 01 Apr. 2023, To 31 Mar. 2024
          ChemicalProcessEngineeringLaboratoryII(Chemical Engineering)
          7313, Fall, Faculty of Engineering, 5
        • From 01 Apr. 2023, To 31 Mar. 2024
          ChemicalProcessEngineeringLaboratoryI(Chemical Engineering)
          7312, Spring, Faculty of Engineering, 5
        • From 01 Apr. 2022, To 31 Mar. 2023
          Advanced Modern Science and Technology (12 times course)
          i060, Fall, Graduate School of Engineering, 1.5
        • From 01 Apr. 2022, To 31 Mar. 2023
          ChemicalProcessEngineeringLaboratoryII(Chemical Engineering)
          7313, Fall, Faculty of Engineering, 5
        • From 01 Apr. 2022, To 31 Mar. 2023
          ChemicalProcessEngineeringLaboratoryI(Chemical Engineering)
          7312, Spring, Faculty of Engineering, 5
        • From 01 Apr. 2022, To 31 Mar. 2023
          Advanced Modern Science and Technology (4 times course)
          i055, Fall, Graduate School of Engineering, 0.5
        • From 01 Apr. 2022, To 31 Mar. 2023
          Advanced Modern Science and Technology (8 times course)
          i056, Fall, Graduate School of Engineering, 1
        • From Apr. 2016, To Mar. 2017
          Theoretical Chemistry I-E2
          Spring, 全学共通科目
        • From Apr. 2017, To Mar. 2018
          Theoretical Chemistry I-E2
          Spring, 全学共通科目
        • From Apr. 2020, To Mar. 2021
          Advanced Modern Science and Technology (12 times course)
          Fall, 工学研究科
        • From Apr. 2020, To Mar. 2021
          Advanced Modern Science and Technology (4 times course)
          Fall, 工学研究科
        • From Apr. 2020, To Mar. 2021
          Advanced Modern Science and Technology (8 times course)
          Fall, 工学研究科
        • From Apr. 2021, To Mar. 2022
          ChemicalProcessEngineeringLaboratoryII(Chemical Engineering)
          Fall, 工学部
        • From Apr. 2021, To Mar. 2022
          ChemicalProcessEngineeringLaboratoryI(Chemical Engineering)
          Spring, 工学部
        • From Apr. 2021, To Mar. 2022
          Advanced Modern Science and Technology (12 times course)
          Fall, 工学研究科
        • From Apr. 2021, To Mar. 2022
          Advanced Modern Science and Technology (4 times course)
          Fall, 工学研究科
        • From Apr. 2021, To Mar. 2022
          Advanced Modern Science and Technology (8 times course)
          Fall, 工学研究科

        Student achievements: Awards

        • J. Soc. Rheol. Jpn. Encouragement Award
          Naoki Seryo, NIHON REOROJI GAKKAISHI, 09 Jan. 2020

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