The field of machine learning (ML) has rapidly advanced the state of the art in many fields of
science and engineering, including experimental fluid dynamics, which is one of the original …

Microrobots are being explored for biomedical applications, such as drug delivery, biological
cargo transport, and minimally invasive surgery. However, current efforts largely focus on …

Cellular form and function emerge from complex mechanochemical systems within the
cytoplasm. Currently, no systematic strategy exists to infer large-scale physical properties of …

Active matter systems, from self-propelled colloids to motile bacteria, are characterized by
the conversion of free energy into useful work at the microscopic scale. They involve physics …

Single and collective cell migration are fundamental processes critical for physiological
phenomena ranging from embryonic development and immune response to wound healing …

Partial differential equations (PDEs) are among the most universal and parsimonious
descriptions of natural physical laws, capturing a rich variety of phenomenology and …

Virtually all of the many active matter systems studied so far are made of units (biofilaments,
cells, colloidal particles, robots, animals, etc.) that move even when they are alone or …

Partial differential equations (PDEs) are among the most universal and parsimonious
descriptions of natural physical laws, capturing a rich variety of phenomenology and multi …

We develop a weak-form sparse identification method for interacting particle systems (IPS)
with the primary goals of reducing computational complexity for large particle number N and …

When interacting motile units self-organize into flocks, they realize one of the most robust
ordered states found in nature. However, after 25 years of intense research, the very …