3D-printed microrobots from design to translation
Microrobots have attracted the attention of scientists owing to their unique features to
accomplish tasks in hard-to-reach sites in the human body. Microrobots can be precisely …
accomplish tasks in hard-to-reach sites in the human body. Microrobots can be precisely …
3D printing of functional microrobots
3D printing (also called “additive manufacturing” or “rapid prototyping”) is able to translate
computer-aided and designed virtual 3D models into 3D tangible constructs/objects through …
computer-aided and designed virtual 3D models into 3D tangible constructs/objects through …
Modeling active colloids: From active brownian particles to hydrodynamic and chemical fields
A Zöttl, H Stark - Annual Review of Condensed Matter Physics, 2023 - annualreviews.org
Active colloids are self-propelled particles moving in viscous fluids by consuming fuel from
their surroundings. Here, we review the numerical and theoretical modeling of active …
their surroundings. Here, we review the numerical and theoretical modeling of active …
Medical micro/nanorobots in complex media
Medical micro/nanorobots have received tremendous attention over the past decades owing
to their potential to be navigated into hard-to-reach tissues for a number of biomedical …
to their potential to be navigated into hard-to-reach tissues for a number of biomedical …
A high-bias, low-variance introduction to machine learning for physicists
Abstract Machine Learning (ML) is one of the most exciting and dynamic areas of modern
research and application. The purpose of this review is to provide an introduction to the core …
research and application. The purpose of this review is to provide an introduction to the core …
Reinforcement learning for bluff body active flow control in experiments and simulations
We have demonstrated the effectiveness of reinforcement learning (RL) in bluff body flow
control problems both in experiments and simulations by automatically discovering active …
control problems both in experiments and simulations by automatically discovering active …
Machine learning for active matter
The availability of large datasets has boosted the application of machine learning in many
fields and is now starting to shape active-matter research as well. Machine learning …
fields and is now starting to shape active-matter research as well. Machine learning …
Control and autonomy of microrobots: Recent progress and perspective
J Jiang, Z Yang, A Ferreira… - Advanced Intelligent …, 2022 - Wiley Online Library
After decades of development, microrobots have exhibited great application potential in the
biomedical field, such as minimally invasive surgery, drug delivery, and bio‐sensing …
biomedical field, such as minimally invasive surgery, drug delivery, and bio‐sensing …
Machine learning for fluid mechanics
SL Brunton, BR Noack… - Annual review of fluid …, 2020 - annualreviews.org
The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data
from experiments, field measurements, and large-scale simulations at multiple …
from experiments, field measurements, and large-scale simulations at multiple …
Efficient collective swimming by harnessing vortices through deep reinforcement learning
Fish in schooling formations navigate complex flow fields replete with mechanical energy in
the vortex wakes of their companions. Their schooling behavior has been associated with …
the vortex wakes of their companions. Their schooling behavior has been associated with …