scholarly journals Borohydride oxidation electrocatalysis at individual, shape‐controlled Au nanoparticles

Author(s):  
Partha Saha ◽  
Md. Maksudur Rahman ◽  
Caleb M. Hill
Author(s):  
Yuanting Tang ◽  
Yongjie Chen ◽  
Xiao Liu ◽  
Chengxiong Wang ◽  
Yunkun Zhao ◽  
...  

The bifunctional role of noble metal/oxide interface in the activation of reactants is of vital importance in heterogeneous catalysis of water-gas shift (WGS) reaction. Herein, three types of shape-controlled TiO2...


2010 ◽  
Vol 1253 ◽  
Author(s):  
Derrick Mott ◽  
Nguyen Thi Bich Thuy ◽  
Yoshiya Aoki ◽  
Shinya Maenosono

AbstractSilver nanoparticles coated by a layer of gold (Ag@Au) have received much attention because of their potential application as ultra sensitive probes for the detection of biologically important molecules such as DNA, proteins, amino acids and many others. However, the ability to control the size, shape, and monodispersity of the Ag@Au structure has met with limited success. In our own research we have addressed this challenge by creating an aqueous wet chemical synthesis technique towards size and shape controllable Ag@Au nanoparticles. These materials are highly interesting because of the tunable silver core size, and the tunable gold shell thickness, opening many avenues to the modification of the particle properties in terms of bio-molecular sensing. The resulting nanoparticle probes were functionalized with two complementary stranded DNA oligonucleotides. When combined, the complementary strands hybridized, causing the Ag@Au nanoparticles to assemble into large nano-structures. The presence of the oligonucleotide was confirmed through a series of techniques including UV-Vis and RAMAN spectroscopy, as well as HR-TEM, XPS, DLS, and many others. The results reflect the role that the nanoparticle physical properties play in the detection of the bio-molecules, as well as elucidate the characteristics of the bio-molecule/nanoparticle interaction.


Fuel Cells ◽  
2017 ◽  
Vol 17 (5) ◽  
pp. 690-697 ◽  
Author(s):  
A. Balčiūnaitė ◽  
L. Tamašauskaitė-Tamašiūnaitė ◽  
D. M. F. Santos ◽  
A. Zabielaitė ◽  
A. Jagminienė ◽  
...  

2017 ◽  
Vol 12 (9) ◽  
pp. 647-651 ◽  
Author(s):  
Fatemeh Sadeghi ◽  
Abolfazl Yazdanpanah ◽  
Amirbabak Abrishamkar ◽  
Fatholah Moztarzadeh ◽  
Arash Ramedani ◽  
...  

2018 ◽  
Author(s):  
Steen Lysgaard ◽  
Paul C. Jennings ◽  
Jens Strabo Hummelshøj ◽  
Thomas Bligaard ◽  
Tejs Vegge

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.


2020 ◽  
Vol 13 (12) ◽  
pp. 125503
Author(s):  
Atsushi Kotaki ◽  
Masao Yoshino ◽  
Yuui Yokota ◽  
Takashi Hanada ◽  
Akihiro Yamaji ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document