Andrew R. Barron focuses on Stereochemistry, Chemical engineering, Carbon nanotube, Statistics and Nanoparticle. The study incorporates disciplines such as Amino acid, Crystallography, Crystal structure and X-ray crystallography in addition to Stereochemistry. His Chemical engineering research is multidisciplinary, incorporating elements of Yield, Graphite, Organic chemistry and Thin film.
In his study, which falls under the umbrella issue of Carbon nanotube, Raman spectroscopy is strongly linked to Carbon-13 NMR. His Statistics course of study focuses on Applied mathematics and Sigmoid function. His Nanoparticle research integrates issues from Membrane, Contact angle, Ceramic and Analytical chemistry.
Andrew R. Barron focuses on Chemical engineering, Carbon nanotube, Inorganic chemistry, Stereochemistry and Crystallography. He studied Chemical engineering and Organic chemistry that intersect with Polymer chemistry. His Carbon nanotube research incorporates elements of Carbon, Catalysis, Raman spectroscopy and Metal.
His Inorganic chemistry study combines topics from a wide range of disciplines, such as Chemical vapor deposition and Gallium. In most of his Stereochemistry studies, his work intersects topics such as Medicinal chemistry. His Crystal structure study incorporates themes from X-ray crystallography and Molecule.
His primary areas of study are Chemical engineering, Carbon nanotube, X-ray photoelectron spectroscopy, Nanoparticle and Nanotechnology. His studies deal with areas such as Adsorption, Sorption and Scanning electron microscope as well as Chemical engineering. Andrew R. Barron interconnects Metal, Catalysis, Conductivity, Copper and Aqueous solution in the investigation of issues within Carbon nanotube.
His work in X-ray photoelectron spectroscopy addresses issues such as Raman spectroscopy, which are connected to fields such as Oxidation state. His biological study spans a wide range of topics, including Inorganic chemistry, Wetting, Contact angle and Photocatalysis. His work deals with themes such as Thin film and Doping, which intersect with Inorganic chemistry.
His scientific interests lie mostly in Chemical engineering, Nanotechnology, Carbon nanotube, Nanoparticle and Metal. His Chemical engineering research is mostly focused on the topic Surface modification. His research investigates the connection between Nanotechnology and topics such as Fullerene that intersect with issues in Molecule and Nanomaterials.
Andrew R. Barron combines subjects such as Graphite oxide, Adsorption, Raman spectroscopy, Analytical chemistry and Conductivity with his study of Carbon nanotube. The concepts of his Nanoparticle study are interwoven with issues in Platinum, Contact angle and X-ray photoelectron spectroscopy. His Metal research also works with subjects such as
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Universal approximation bounds for superpositions of a sigmoidal function
IEEE Transactions on Information Theory (1993)
The minimum description length principle in coding and modeling
A. Barron;J. Rissanen;Bin Yu.
IEEE Transactions on Information Theory (1998)
Risk bounds for model selection via penalization
Andrew Barron;Lucien Birgé;Pascal Massart.
Probability Theory and Related Fields (1999)
Approximation and estimation bounds for artificial neural networks
A. R. Barron.
conference on learning theory (1991)
Minimum complexity density estimation
A.R. Barron;T.M. Cover.
IEEE Transactions on Information Theory (1991)
Hydrolysis of tri-tert-butylaluminum: the first structural characterization of alkylalumoxanes [(R2Al)2O]n and (RAlO)n
Mark R. Mason;Janna M. Smith;Simon G. Bott;Andrew R. Barron.
Journal of the American Chemical Society (1993)
High-yield organic dispersions of unfunctionalized graphene.
Christopher E. Hamilton;Jay R. Lomeda;Zhengzong Sun;James M. Tour.
Nano Letters (2009)
Information-theoretic asymptotics of Bayes methods
B.S. Clarke;A.R. Barron.
IEEE Transactions on Information Theory (1990)
Information-theoretic determination of minimax rates of convergence
Yuhong Yang;Andrew Barron.
Annals of Statistics (1999)
The consistency of posterior distributions in nonparametric problems
Andrew Barron;Mark J. Schervish;Larry Wasserman.
Annals of Statistics (1999)
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