Takaharu Yaguchi (Ph.D.)
Title
Team Director
Members
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Team directorTakaharu Yaguchi
Introduction
From around 2019, scientific machine learning, which is a new research field that combines machine learning and scientific computing, has emerged. The scientific machine learning methods are expected to enable the simulation of phenomena for which the governing equations are unknown, and to accelerate physical simulations greatly. Our team develops, particularly, methods that respect laws of physics such as the energy conservation law and also performs theoretical analysis, in order to develop reliable scientific machine learning methods.
Main Research Field
Interdisciplinary Science & Engineering
Research Field
Engineering / Informatics / Mathematical & Physical Sciences / Computational science-related Intelligent / informatics-related Intelligent / informatics-related
Research Subjects
Scientific Machine Learning
Machine Learning for Physics
Operator Learning
Physical Simulation
Physical Modeling
Machine Learning for Physics
Operator Learning
Physical Simulation
Physical Modeling
RIKEN Website URL
