most citedMachine learning-assisted design of material properties

77 citations · 99 across the 2 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci202277 cited

Machine learning-assisted design of material properties

Sanket Kadulkar, Zachary M. Sherman, Venkat Ganesan +1

Designing functional materials requires a deep search through multidimensional spaces for system parameters that yield desirable material properties. For cases where conventional p…

cond-mat.soft202022 cited

Effects of linker flexibility on phase behavior and structure of linked colloidal gels

Michael P. Howard, Zachary M. Sherman, Adithya N Sreenivasan +4

Colloidal nanocrystal gels can be assembled using a difunctional "linker" molecule to mediate bonding between nanocrystals. The conditions for gelation and the structure of the gel…

cond-mat.soft2020

Wertheim's thermodynamic perturbation theory with double-bond association and its application to colloid-linker mixtures

Michael P. Howard, Zachary M. Sherman, Delia J. Milliron +1

We extend Wertheim's thermodynamic perturbation theory to derive the association free energy of a multicomponent mixture for which double bonds can form between any two pairs of th…

cond-mat.soft2020

Inverse methods for design of soft materials

Zachary M. Sherman, Michael P. Howard, Beth A. Lindquist +2

Functional soft materials, comprising colloidal and molecular building blocks that self-organize into complex structures as a result of their tunable interactions, enable a wide ar…

cond-mat.soft2020

Universal Gelation of Metal Oxide Nanocrystals via Depletion Attractions

Camila A. Saez Cabezas, Zachary M. Sherman, Michael P. Howard +6

Nanocrystal gelation provides a powerful framework to translate nanoscale properties into bulk materials and to engineer emergent properties through the assembled microstructure. H…