We demonstrate that deep learning techniques can be used to predict motility-induced phase separation (MIPS) in suspensions of active Brownian particles (ABPs) by creating a notion at the particle level.

Fischer-Tropsch synthesis (FTS) is an industrial catalytic process that converts a mixture of CO and hydrogen into long-chain hydrocarbons. These products are used as clean transportation fuels chemical building blocks. The solid catalysts in the complex multi-component systems. Therefore, unambiguously determining catalytically active phase under reaction conditions remains challenging thus to...

Dense cellular aggregates are common in biology, ranging from bacterial biofilms to organoids, cell spheroids, and tumors. Their dynamics, driven by intercellular forces, is intrinsically out of equilibrium. Motivated colonies as a model system, we present continuum theory study dense, active, aggregates. We describe the process aggregate formation an active phase separation phenomenon, while m...