Engineering and TechnologyNature Communications
Machine learning enables design automation of microfluidic flow-focusing droplet generation
A. Lashkaripour, C. Rodriguez, et al.
Explore the innovative DAFD tool developed by researchers including Ali Lashkaripour and Christopher Rodriguez. This web-based solution leverages machine learning to enhance droplet-based microfluidic devices, ensuring precision in droplet generation essential for life sciences applications.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Engineering and Technology
Machine learning enables completely automatic tuning of a quantum device faster than human experts
H. Moon, D. T. Lennon, et al.
Physics
Principal component analysis enables the design of deep learning potential precisely capturing LLZO phase transitions
Y. You, D. Zhang, et al.
Engineering and Technology
Compositional design and phase formation capability of high-entropy rare-earth disilicates from machine learning and decision fusion
Y. Fan, Y. Bai, et al.
Engineering and Technology
Machine learning-enabled forward prediction and inverse design of 4D-printed active plates
X. Sun, L. Yue, et al.
