Zachary Sherman

Affiliations: 
2013-2019 Massachusetts Institute of Technology, Cambridge, MA, United States 
Google:
"Zachary Sherman"
Mean distance: (not calculated yet)
 

Parents

Sign in to add mentor
James W. Swan grad student 2013-2019 MIT
Thomas Michael Truskett post-doc 2019- UT Austin (Chemistry Tree)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Krucker-Velasquez E, Swan JW, Sherman Z. (2024) Immersed boundary method for dynamic simulation of polarizable colloids of arbitrary shape in explicit ion electrolytes. The Journal of Chemical Physics. 161
Sherman ZM, Milliron DJ, Truskett TM. (2024) Distribution of Single-Particle Resonances Determines the Plasmonic Response of Disordered Nanoparticle Ensembles. Acs Nano. 18: 21347-21363
Sherman ZM, Kang J, Milliron DJ, et al. (2024) Illuminating Disorder: Optical Properties of Complex Plasmonic Assemblies. The Journal of Physical Chemistry Letters. 15: 6424-6434
Kang J, Sherman ZM, Conrad DL, et al. (2023) Structural Control of Plasmon Resonance in Molecularly Linked Metal Oxide Nanocrystal Gel Assemblies. Acs Nano
Kim K, Sherman ZM, Cleri A, et al. (2023) Hierarchically Doped Plasmonic Nanocrystal Metamaterials. Nano Letters
Gauri HM, Sherman ZM, Al Harraq A, et al. (2023) Correction: Magnetic field enabled control over the structure and dynamics of colloids interacting SALR potentials. Soft Matter. 19: 6183
Gauri HM, Sherman ZM, Al Harraq A, et al. (2023) Magnetic field enabled control over the structure and dynamics of colloids interacting SALR potentials. Soft Matter
Sherman ZM, Kim K, Kang J, et al. (2023) Plasmonic Response of Complex Nanoparticle Assemblies. Nano Letters
Kang J, Sherman ZM, Crory HSN, et al. (2023) Modular mixing in plasmonic metal oxide nanocrystal gels with thermoreversible links. The Journal of Chemical Physics. 158: 024903
Kadulkar S, Sherman ZM, Ganesan V, et al. (2022) Machine Learning-Assisted Design of Material Properties. Annual Review of Chemical and Biomolecular Engineering
See more...