Application of Artificial Neural Networks to Rapid Data Analysis in Combinatorial Nanoparticle Syntheses
- 10 August 2012
- journal article
- research article
- Published by American Chemical Society (ACS) in The Journal of Physical Chemistry C
- Vol. 116 (33) , 17885-17896
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Microreactor combinatorial system for nanoparticle synthesis with multiple parametersChemical Engineering Science, 2012
- Combinatorial Synthesis of CdSe Nanoparticles Using MicroreactorsThe Journal of Physical Chemistry C, 2010
- Combinatorial Materials Sciences: Experimental Strategies for Accelerated Knowledge DiscoveryAnnual Review of Materials Research, 2008
- Intelligent routes to the controlled synthesis of nanoparticlesLab on a Chip, 2007
- Combinatorial and High‐Throughput Materials ScienceAngewandte Chemie International Edition, 2007
- Synthesis of Monodisperse Spherical NanocrystalsAngewandte Chemie International Edition, 2007
- Preparation of CdSe nanocrystals in a micro-flow-reactorChemical Communications, 2002
- Experimental Strategies for Combinatorial and High-Throughput Materials DevelopmentAccounts of Chemical Research, 2001
- Combinatorial chemistry, automation and molecular diversity: new trends in the pharmaceutical industryJournal of Chromatography B: Biomedical Sciences and Applications, 1999
- Synthesis and characterization of nearly monodisperse CdE (E = sulfur, selenium, tellurium) semiconductor nanocrystallitesJournal of the American Chemical Society, 1993