M
Mario G. Ancona
Researcher at United States Naval Research Laboratory
Publications - 173
Citations - 4967
Mario G. Ancona is an academic researcher from United States Naval Research Laboratory. The author has contributed to research in topics: Nanoclusters & Electron mobility. The author has an hindex of 36, co-authored 167 publications receiving 4434 citations. Previous affiliations of Mario G. Ancona include Scripps Research Institute.
Papers
More filters
Journal ArticleDOI
Antimonide-based compound semiconductors for electronic devices: A review
TL;DR: In this article, the progress on three antimonide-based electronic devices: high electron mobility transistors (HEMTs), resonant tunneling diodes (RTDs), and heterojunction bipolar transistors(HBTs) is reviewed.
Journal ArticleDOI
High-mobility Carbon-nanotube Thin-film Transistors on a Polymeric Substrate
TL;DR: In this article, the authors report the development of high-mobility carbon-nanotube thin-film transistors fabricated on a polymeric substrate, where the active semiconducting channel is composed of a random two-dimensional network of single-walled carbon nanotubes (SWNTs).
Journal ArticleDOI
Understanding enzymatic acceleration at nanoparticle interfaces: Approaches and challenges
TL;DR: An in-depth review and discussion of what is currently known about the assembly of enzyme–NP and substrate–NP bioconjugates with an emphasis on inorganic NPs and approaches to quantitative modeling of NP-associated enzyme activity are discussed.
Journal ArticleDOI
Lateral distribution of hot-carrier-induced interface traps in MOSFETs
TL;DR: In this paper, the spatial profiles of hot-carrier-induced interface traps in MOSFETs with abrupt arsenic junctions and oxide thickness of 10-38 nm were determined using charge pumping both in the conventional manner and with a modified constant-field approach.
Journal ArticleDOI
Assembling programmable FRET-based photonic networks using designer DNA scaffolds
Susan Buckhout-White,Christopher M. Spillmann,W. Russ Algar,Ani Khachatrian,Joseph S. Melinger,Ellen R. Goldman,Mario G. Ancona,Igor L. Medintz +7 more
TL;DR: Förster modelling confirms that best results are obtained when there are multiple interacting FRET pathways rather than independent channels by which excitons travel from initial donor(s) to final acceptor.