Electrical property and water repellency of a networked monolayer film prepared from Au nanoparticles

2003 ◽  
pp. 1038-1039 ◽  
Author(s):  
Hiroshi Shiigi ◽  
Yojiro Yamamoto ◽  
Hidetaka Yakabe ◽  
Shiho Tokonami ◽  
Tsutomu Nagaoka
Keyword(s):  
Electrical Property ◽  
Au Nanoparticles ◽  
Water Repellency ◽  
Monolayer Film

Observing the dynamic “hot spots” on two-dimensional Au nanoparticles monolayer film

2017 ◽  
Vol 53 (50) ◽  
pp. 6788-6791 ◽  
Author(s):  
Chenjie Zhang ◽  
Enming You ◽  
Qi Jin ◽  
Yaxian Yuan ◽  
Minmin Xu ◽  
...  
Keyword(s):  
Hot Spots ◽  
Au Nanoparticles ◽  
Interparticle Spacing ◽  
Two Dimensional ◽  
Monolayer Film

Interparticle spacing was controlled by evaporating water on 2D Au nanoparticles arrays.

scholarly journals In situ SERS Investigation of SPR-driven Catalytic Reactions on Au Nanoparticles Monolayer Film

2017 ◽  
Vol 75 (9) ◽  
pp. 860
Author(s):  
Chenjie Zhang ◽  
Jing Zhang ◽  
Jieru Lin ◽  
Qi Jin ◽  
Minmin Xu ◽  
...  
Keyword(s):  
Au Nanoparticles ◽  
Catalytic Reactions ◽  
Monolayer Film

Controlling dynamic SERS hot spots on a monolayer film of Fe3O4@Au nanoparticles by a magnetic field

2016 ◽  
Vol 152 ◽  
pp. 336-342 ◽  
Author(s):  
Qing-Hua Guo ◽  
Chen-Jie Zhang ◽  
Chao Wei ◽  
Min-Min Xu ◽  
Ya-Xian Yuan ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Hot Spots ◽  
Au Nanoparticles ◽  
Monolayer Film

Machine Learning Accelerated Genetic Algorithms for Computational Materials Search

2018 ◽  
Author(s):  
Steen Lysgaard ◽  
Paul C. Jennings ◽  
Jens Strabo Hummelshøj ◽  
Thomas Bligaard ◽  
Tejs Vegge
Keyword(s):  
Machine Learning ◽  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Au Nanoparticles ◽  
Learning Model ◽  
Energy Calculations ◽  
Atomic Distribution ◽  
Machine Learning Model ◽  
Fold Reduction ◽  
Computational Materials

A machine learning model is used as a surrogate fitness evaluator in a genetic algorithm (GA) optimization of the atomic distribution of Pt-Au nanoparticles. The machine learning accelerated genetic algorithm (MLaGA) yields a 50-fold reduction of required energy calculations compared to a traditional GA.

Fast Computation of Electrical Property of Microstrip Array with AIM

2011 ◽  
Vol 30 (1) ◽  
pp. 238-240
Author(s):  
Xiu-lian He ◽  
Wen-jun Gao ◽  
Yi-cai Ji ◽  
Hong Lei ◽  
Shu-xi Gong
Keyword(s):  
Electrical Property ◽  
Fast Computation ◽  
Microstrip Array
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