5 papers
A deviatoric-stress closure for constitutive modeling of viscoelastic dynamics
Souta Miyamoto, Shotaro Moro, Takeshi Sato +4
Standard rheological measurements yield only selected stress components; thus, inferring tensorial constitutive equations from experimentally accessible observables is complicated.…
Development of Rheological Constitutive Modeling Method Using a Sparse Identification Algorithm: A Case Study for Extensional Flows
Takeshi Sato, Souta Miyamoto, Shota Kato
Deriving constitutive models (CMs) from numerical data has been an attractive approach as a systematic CM building method. One recent study is Rheo-SINDy, which extended the sparse…
MK2 at PBIG Competition: A Prompt Generation Solution
Yuzheng Xu, Tosho Hirasawa, Seiya Kawano +2
The Patent-Based Idea Generation task asks systems to turn real patents into product ideas viable within three years. We propose MK2, a prompt-centric pipeline: Gemini 2.5 drafts a…
Data Augmentation Method Utilizing Template Sentences for Variable Definition Extraction
Kotaro Nagayama, Shota Kato, Manabu Kano
The extraction of variable definitions from scientific and technical papers is essential for understanding these documents. However, the characteristics of variable definitions, su…
Rheo-SINDy: Finding a Constitutive Model from Rheological Data for Complex Fluids Using Sparse Identification for Nonlinear Dynamics
Takeshi Sato, Souta Miyamoto, Shota Kato
Rheology plays a pivotal role in understanding the flow behavior of fluids by discovering governing equations that relate deformation and stress, known as constitutive equations. D…