Research Gallery
Bacterial swarm intelligence in a lung-like fractal space, launching collective solitary-waves which interact and redirect to find small confined regions so that they can occupy and condense into.
The artificial lifeforms on an interactive LED lightboard that represents a dynamical resource landscape.
An analog simulation which brings new insights into biological evolution and suggests a way to improve cancer chemotherapy: instead of periodic doses of a single drug, stochastic doses of multiple drugs could be more effective.
The cover picture of Physical Review Letter Vol 129 Issue 22 is a figure from our work, which describe the measurement of the local entropy production in a rectifying device by a population of E. coli bacteria (real experiment, on the left) and by the corresponding active Brownian particles (simulation, on the right).
The helical morphology of a swimming filamentous E.coli under genotoxic anti-biotic stress.
We developed a fluorescent sensor to reveal the spatiotemporal dynamics of bacteria generated gradients during their collective migration.
We call this resource curvature driven locomotion of our artificial lives field-drive because the warp (distortion) of the resource landscape determines the velocity vector of the robot in a fashion that curiously also appears in general relativistic warp-drive.
Five different phases of the robot swarm in an homogenous landscape, analogous to familiar thermodynamical phases such as gas, crystal, liquid, jammed and glass.
Progression of bacterial growth in a phage gradient, showing how a phage-insensitive bacterial subpopulation can emerge.
We created a hydrodynamical black hole to observe how communication between bacteria can help them collectively avoid the event horizon.
Our attempt to map the politico-physics of opinion polarization with a system of many intelligent reactive agents that have deep memory (which we call mnemomatter).
We study tumor hypoxia in vitro using real-time phosphorescence-based sensing of O2 gradients generated by metastatic cancer cells.
The progressive states of metastatic cancer with representative formulas that describe their physics.
We introduce a "spatially liberated" framework for data-driven discovery of generally covariant PDEs governing coupled scalar fields, emerging as low-wavelength effective theories of locally interacting systems that preserve rotational and reflection symmetries.
The success landscape, a shape of evolutionary dynamics that represents the survivability of a population in a dynamical and ever-changing environment such as cancer cells under the intervention of periodic chemotherapy.
A classical mechanics motion of a point-particle in an (1+1)D inverse-quadratic potential is dual to the motion in a (2+2)D space (adding extra dimensions, one spatial and one temporal) but without any potential.
Non-reciprocity induced by plasmonic Doppler effect in the presence of a DC current.
Classical algorithm and its quantum version for estimating the intrinsic geometry of big data, such as the intrinsic dimension and the local scalar curvature.