Type Of Media：海外Web媒体
Publication/Magazine/Media：Phys & Org
Deep learning solves long-standing challenges in identification of nanoparticle shape
Innovation Center of NanoMedicine (iCONM; Center Director: Kazunori Kataoka; Location: Kawasaki, Japan) has announced with The University of Tokyo that a group led by Prof. Takanori Ichiki, Research Director of iCONM (Professor, Department of Materials Engineering, Graduate School of Engineering, The University of Tokyo), proposed a new property evaluation method of nanoparticles’ shape anisotropy that solves long-standing issues in nanoparticle evaluation that date back to Einstein's time. The paper, titled " Analysis of Brownian motion trajectories of non-spherical nanoparticles using deep learning" was published online in the APL Machine Learning dated on October 25, 2023.
http://phys.org/news/2023-10-deep-long-standing-identification-nanoparticle.amp
http://change.kawasaki-net.ne.jp/en/project/performance/1116
