モリーナロペスジョンジャイロ

Molina Lopez John Jairo

所属機関・部署：
職名： Assistant Professor

研究分野 (1件)：生物物理、化学物理、ソフトマターの物理

論文 (54件)：

John J. Jairo Molina, Kenta Ogawa, Takashi Taniguchi. Stokesian Processes : Inferring Stokes Flows using Physics-Informed Gaussian Processes. Machine Learning: Science and Technology. 2023
Simon K Schnyder, John J Molina, Ryoichi Yamamoto, Matthew S Turner. Rational social distancing policy during epidemics with limited healthcare capacity. PLoS computational biology. 2023. 19. 10. e1011533
Simon K. Schnyder, John J. Molina, Ryoichi Yamamoto, Matthew S. Turner. Rational social distancing in epidemics with uncertain vaccination timing. PLOS ONE. 2023. 18. 7
Chao Feng, John J. Molina, Ryoichi Yamamoto. Dynamics of a Model Microswimmer in the Vicinity of a Liquid Droplet. Journal of the Physical Society of Japan. 2023. 92. 7
Krongtum Sankaewtong, John J. Molina, Matthew S. Turner, Ryoichi Yamamoto. Learning to swim efficiently in a nonuniform flow field. Physical Review E. 2023

MISC (2件)：

Jean-Francois Dufreche, Bertrand Siboulet, Magali Duvail, Pierre Turq, John Molina, Biman Bagchi. Viscosity of aqueous electrolyte solutions: The dynamic point of view for hydrophobicity and hydrophilicity. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY. 2014. 248
Yamamoto, Ryoichi, Molina, John J, Tatsumi, Rei. Simulating colloids and self-propelled particles with fully resolved hydrodynamics using the smoothed profile method (SPM). Hybrid Particle-Continuum Methods in Computational Materials Physics,46, pp. 11-24. 2013

講演・口頭発表等 (16件)：

Learning the constitutive relation of polymeric flows with Memory
(American Physical Society (APS) March Meeting 2021)
Novel Soft Matter Physics through Computational and Information Science
(The Physical Society of Japan 2021 Annual Meeting 2021)
Learning the Constitutive Relation of Polymer Flows with Memory: from Micro-Scale Dynamics to Macro-Scale Flow
(SIAM Conference on Computational Science and Engineering (CSE21) 2021)
ポリマー加工フローの機械学習
(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~ 2021)
Learning the Constitutive Relation of Non-Newtonian Fluids from Microscopic Dynamics
(18th International Congress on Rheology 2020)

※　J-GLOBALの研究者情報は、researchmapの登録情報に基づき表示しています。登録・更新については、こちらをご覧ください。

モリーナロペス ジョンジャイロ