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Keith A. Brown

Researcher at Boston University

Publications -  119
Citations -  3634

Keith A. Brown is an academic researcher from Boston University. The author has contributed to research in topics: Dielectrophoresis & Nanolithography. The author has an hindex of 32, co-authored 105 publications receiving 2759 citations. Previous affiliations of Keith A. Brown include International Institute of Minnesota & Northwestern University.

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Journal ArticleDOI

Multifunctional cantilever-free scanning probe arrays coated with multilayer graphene

TL;DR: A multilayer graphene coating method is used to create multifunctional massively parallel probe arrays that have wear-resistant tips of uncompromised sharpness and high electrical and thermal conductivities.
Patent

Multifunctional graphene coated scanning tips

TL;DR: In this paper, a method of making a graphene coated tip can include immersing a tip in a fluid comprising a graphene film floating on a surface of the fluid over the tip, disposing the immersed tip at an angle relative to the graphene film, and coating the tip with the film by gradually bringing the film into contact with the tip while maintaining the relative angle between the floating portion of the film and the tip during coating.
Journal ArticleDOI

Oligonucleotide flexibility dictates crystal quality in DNA-programmable nanoparticle superlattices.

TL;DR: This work addresses a major challenge in synthesizing optical metamaterials based upon noble metal nanoparticles by enabling the crystallization of large nanoparticles (100 nm diameter) at high volume fractions (34% metal).
Journal ArticleDOI

Nested-Batch-Mode Learning and Stochastic Optimization with An Application to Sequential MultiStage Testing in Materials Science

TL;DR: A Monte Carlo--based approach is proposed to address the hurdle in the context of both the batch and nested-batch problems, and empirically demonstrate the effectiveness of this approach.
Journal ArticleDOI

Langmuir Analysis of Nanoparticle Polyvalency in DNA-Mediated Adsorption†

TL;DR: This work presents an approach for quantifying nanoparticle adsorption thermodynamics in a manner that satisfies the assumptions of the Langmuir model and finds that polyvalency plays a more important role as the individual interactions become weaker.