Luca Biferale教授学术报告通知(2018---3)


发布时间: 2018-03-29     浏览次数: 160

报告题目:Smart living and artificial particles to navigate in complex flows via Reinforcement Learning

 人:Luca Biferale教授,意大利罗马大学

时    间:20180330日(周五)上午10:00-12:00

地    点:乐学楼(1116室)


报告摘要

        We present a numerical study to train smart inertial particles to target specic ow regions with high vorticity through the use of Reinforcement Learning (RL) algorithms (S. Colabrese, K. Gustavsson, A. Celani, and L. Biferale. arXive:1711.05853). The particles are able to actively change their size to modify their inertia and density. Using local measurements of the ow vorticity, the smart particle explores the interplay between its choices of size and its dynamical behaviour in the ow environment. This allows to accumulate experience and learn approximately optimal strategies of how to modulate the size in order to reach the target with high-vorticity regions. We consider ows with dierent complexities: a two-dimensional stationary Taylor-Green like conguration, a two-dimensional time-dependent ow, and finally a three-dimensional ow given by the stationary Arnold-Beltrami-Childress helical ow. We show that smart particles are able to learn how to reach extremely intense vortical structures in all the tackled cases. This study completes a series of previous explorative applications of RL for flow navigation [K. Gustavsson, L. Biferale, A.
 Celani, S. Colabrese, Eur. Phys. J. E 40, 110 (2017); S. Colabrese, K. Gustavsson, A. Celani, L. Biferale, Phys. Rev. Lett. 118, 158004 (2017)]


报告人简介:

        Luca Biferale,意大利罗马大学终身教授,美国约翰霍普金斯大学讲座教授,美国物理协会(APS)高级会员(Elected Fellow)、欧洲力学协会高级会员。Luca Biferale教授是国际湍流研究的知名专家,已在Physics Reports(影响因子17.425)、Annual Review of Fluid Mechanics(影响因子14.02)、Physical Review Letters(影响因子8.463, 超过30篇)、Journal of Fluid Mechanics等高水平期刊发表学术论文220余篇,H指数为45