In active matter systems, individual constituents convert energy into non-conservative forces
or motion at the microscale, leading to morphological features and transport properties that …

Learning is traditionally studied in biological or computational systems. The power of
learning frameworks in solving hard inverse problems provides an appealing case for the …

Navigating a large swarm of micro-/nanorobots is critical for potential targeted
delivery/therapy applications owing to the limited volume/function of a single microrobot, and …

Optical tweezers are tools made of light that enable contactless pushing, trap**, and
manipulation of objects, ranging from atoms to space light sails. Since the pioneering work …

Harnessing data to discover the underlying governing laws or equations that describe the
behavior of complex physical systems can significantly advance our modeling, simulation …

Deviations from Brownian motion leading to anomalous diffusion are found in transport
dynamics from quantum physics to life sciences. The characterization of anomalous diffusion …

Magnetic microrobots have shown promise in the field of biomedical engineering, facilitating
precise drug delivery, non-invasive diagnosis and cell-based therapy. Current techniques …

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 …

Progress in optical manipulation has stimulated remarkable advances in a wide range of
fields, including materials science, robotics, medical engineering, and nanotechnology. This …

The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …