A sol–gel approach to produce highly dispersed graphene oxide–carbon nanotube hybrid reinforcement into alumina matrix

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Unoxidized Graphene/Alumina Nanocomposite: Fracture- and Wear-Resistance Effects of Graphene on Alumina Matrix

It is of critical importance to improve toughness, strength, and wear-resistance together for the development of advanced structural materials. Herein, we report on the synthesis of unoxidized graphene/alumina composite materials having enhanced toughness, strength, and wear-resistance by a low-cost and environmentally benign pressure-less-sintering process. The wear resistance of the composite...

متن کامل

Covalently bonded carbon nanotube – graphene hybrid material

We have witnessed tremendous growth in the area of nanomaterials for the past three decades. The discovery of fullerenes by Kroto et al. in 1985, was followed by the isolation of some more novel carbon nanomaterials, new allotropes of carbon. These include carbon nanotubes (CNTs) obtained by Iijima in 1991 and graphene isolated by simple exfoliation of graphite with a scotch paper by Novoselov ...

متن کامل

Stretchable and Highly Conductive Carbon Nanotube-Graphene Hybrid Yarns for Wearable Systems

Carbon Nanotubes (CNTs) have emerged as potential candidates for replacement of conventional metals due to their significant mechanical, electrical, thermal properties and non-oxidizing abilities [1, 2]. The density of CNT composites is about five times lower than copper and around half that of aluminium. Moreover, their thermal conductivity is about ten times that of copper. With the above men...

متن کامل

Recurrent Reinforcement Learning: A Hybrid Approach

Successful applications of reinforcement learning in real-world problems often require dealing with partially observable states. It is in general very challenging to construct and infer hidden states as they often depend on the agent’s entire interaction history and may require substantial domain knowledge. In this work, we investigate a deep-learning approach to learning the representation of ...

متن کامل

Hierarchical Reinforcement Learning: A Hybrid Approach

In this thesis we investigate the relationships between the symbolic and subsymbolic methods used for controlling agents by artificial intelligence, focusing in particular on methods that learn. In light of the strengths and weaknesses of each approach, we propose a hybridisation of symbolic and subsymbolic methods to capitalise on the best features of each. We implement such a hybrid system, c...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Veruscript Functional Nanomaterials

سال: 2017

ISSN: 2515-5687

DOI: 10.22261/bke2bp