Rchr
J-GLOBAL ID：201501021399036090
Update date: May. 12, 2024
Molina Lopez John Jairo
Molina Lopez John Jairo
Affiliation and department：
Job title：
Assistant Professor
Research field (1)：
Bio-, chemical, and soft-matter physics
Papers (56)：
-
Krongtum Sankaewtong, John J. Molina, Ryoichi Yamamoto. Autonomous navigation of smart microswimmers in non-uniform flow fields. Physics of Fluids. 2024. 36. 4
-
Adnan Hamid, Muhammad Shakaib, John J. Molina, M. Danyal Qasim, Bilal Fareed, Muhammad Uzair, Ryoichi Yamamoto. Direct numerical simulations of suspension of disk-shaped particles. Physics of Fluids. 2024. 36. 4
-
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
ｍore...
MISC (2)：
-
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
Lectures and oral presentations (16)：
-
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)
ｍore...
Return to Previous Page
