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Richard N. Zare

Researcher at Stanford University

Publications -  1252
Citations -  73142

Richard N. Zare is an academic researcher from Stanford University. The author has contributed to research in topics: Excited state & Mass spectrometry. The author has an hindex of 120, co-authored 1201 publications receiving 67880 citations. Previous affiliations of Richard N. Zare include National Institute of Standards and Technology & Fudan University.

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Nanoparticle PEGylation for imaging and therapy

TL;DR: A background to investigators new to stealth nanoparticles is presented, and some key considerations needed prior to designing a nanoparticle PEGylation protocol and characterizing the performance features of the product are suggested.
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Search for past life on Mars: possible relic biogenic activity in martian meteorite ALH84001.

TL;DR: High-resolution scanning and transmission electron microscopy study of surface textures and internal structures of selected carbonate globules show that the globules contain fine-grained, secondary phases of single-domain magnetite and iron sulfides.
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Optical diagnostics of atmospheric pressure air plasmas

TL;DR: In this paper, the authors present diagnostic techniques based on optical emission spectroscopy and cavity ring-down Spectroscopy for atmospheric pressure plasmas under conditions ranging from thermal and chemical equilibrium to thermochemical nonequilibrium.
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Advances in Asphaltene Science and the Yen–Mullins Model

Abstract: The Yen–Mullins model, also known as the modified Yen model, specifies the predominant molecular and colloidal structure of asphaltenes in crude oils and laboratory solvents and consists of the following: The most probable asphaltene molecular weight is ∼750 g/mol, with the island molecular architecture dominant. At sufficient concentration, asphaltene molecules form nanoaggregates with an aggregation number less than 10. At higher concentrations, nanoaggregates form clusters again with small aggregation numbers. The Yen–Mullins model is consistent with numerous molecular and colloidal studies employing a broad array of methodologies. Moreover, the Yen–Mullins model provides a foundation for the development of the first asphaltene equation of state for predicting asphaltene gradients in oil reservoirs, the Flory–Huggins–Zuo equation of state (FHZ EoS). In turn, the FHZ EoS has proven applicability in oil reservoirs containing condensates, black oils, and heavy oils. While the development of the Yen–Mullin...
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Protein-inorganic hybrid nanoflowers

TL;DR: A method is reported for creating hybrid organic-inorganic nanoflowers using copper (II) ions as the inorganic component and various proteins as the organic component to exhibit enhanced enzymatic activity and stability compared with the free enzyme.