In this study, automatic system for combinatorial synthesis of nanoparticles (NPs) was developed and optimization of reaction parameter for NPs synthesis was performed. Microreactor was employed for kinetic control constantly. Programmable equipments were employed for additional speed up and used a microreactor. Six reaction condition parameters were systematically combined to produce CdSe synthesis condition sets. Reaction conditions of 3404 experimental sets were synthesized and characterized in 1 month. As a result of some multivariate analyses using the numerous and complicated data, we found as follows: 1) neural network is an effective method to analyze data from combinatorial synthesis, 2) weighting evaluation method was effective to find the condition for balanced NP properties.
|ジャーナル||IOP Conference Series: Materials Science and Engineering|
|出版ステータス||出版済み - 2011|
|イベント||3rd International Congress on Ceramics, ICC 2011 - Osaka, 日本|
継続期間: 11 14 2010 → 11 18 2010
All Science Journal Classification (ASJC) codes