Biological materials are self-assembled with near-atomic precision in living cells, whereas
synthetic 3D structures generally lack such precision and controllability. Recently, DNA …

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 …

Chemical methods developed over the past two decades enable preparation of colloidal
nanocrystals with uniform size and shape. These Brownian objects readily order into …

Memory formation in matter is a theme of broad intellectual relevance; it sits at the
interdisciplinary crossroads of physics, biology, chemistry, and computer science. Memory …

The science of self-assembly has undergone a radical shift from asking questions about why
individual components self-organize into ordered structures, to manipulating the resultant …

Synthetic multicellular systems hold promise as models for understanding natural
development of biofilms and higher organisms and as tools for engineering complex multi …

Cells remember their identities, in part, by using epigenetic marks—chemical modifications
placed along the genome. How can mark patterns remain stable over cell generations …

Biomolecular condensates constitute a newly recognized form of spatial organization in
living cells. Although many condensates are believed to form as a result of phase …

Motivated by advances in the field of active matter where nonequilibrium forcing has been
shown to activate new assembly pathways, here we study how nonequilibrium driving in …

Phase separation has emerged as an essential concept for the spatial organization inside
biological cells. However, despite the clear relevance to virtually all physiological functions …