7 citations · 8 across the 4 of their papers we have counts for
4 papers
The effects of cavitation position on the velocity of a laser-induced microjet extracted using explainable artificial intelligence
Daichi Igarashi, Jingzu Yee, Yuto Yokoyama +2
The control of the velocity of a high-speed laser-induced microjet is crucial in applications such as needle-free injection. Previous studies have indicated that the jet velocity i…
Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence
Jingzu Yee, Daichi Igarashi, Pradipto +2
This study reveals a possible correlation between splashing morphology and the normalized impact force exerted by an impacting drop on a solid surface. This finding is obtained fro…
Prediction of the morphological evolution of a splashing drop using an encoder-decoder
Jingzu Yee, Daichi Igarashi, Shun Miyatake +1
The impact of a drop on a solid surface is an important phenomenon that has various implications and applications. However, the multiphase nature of this phenomenon causes complica…
Features of a Splashing Drop on a Solid Surface and the Temporal Evolution extracted through Image-Sequence Classification using an Interpretable Feedforward Neural Network
Jingzu Yee, Daichi Igarashi, Akinori Yamanaka +1
This paper reports the features of a splashing drop on a solid surface and the temporal evolution, which are extracted through image-sequence classification using a highly interpre…