The Journal of Materials Science publishes reviews, full-length papers, and short Communications recording original research results on, or techniques for studying the relationship between structure, properties, and uses of materials. The subjects are seen from international and interdisciplinary perspectives covering areas including metals, ceramics, glasses, polymers, electrical materials, composite materials, fibers, nanostructured materials, nanocomposites, and biological and biomedical materials. The Journal of Materials Science is now firmly established as the leading source of primary communication for scientists investigating the structure and properties of all engineering materials

The Journals reports principally the achievements of materials science and engineering all over the world, putting the stress on the original research papers, review articles invited by editor, letters, research notes with novelty as well as brief of scientific achievement, covering a broad spectrum of materials science and technology, encompassing:

• metallic materials 
• inorganic nonmetallic materials 
• composite materials


committee

Members

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Xiaolong Gao

Research Officer

Dr. Xiaolong Gao, 30 years old, is a teacher working atBeijing University of Chemical Technology, Beijing. He received his Master and Ph.D. degree in Mechanical Design and Theory in 2013 and in 2017, respectively. During his PhD period, he has focused his research on preparation of functional polymeric nanocomposites about conductive polymer composites (CPCs), thermally conductive polymer composites, and characterization of the nanocomposites and tests of mechanical properties. Besides, he have done a lot of research on design and manufacturing of typical polymer micro and nano device.A novel method of Spatial Confining Forced Network Assembly (SCFNA) for preparation of high-performanceelectrically conductive polymeric composites was proposed for the first time. Differing from the self-assemblymechanism, as in traditional compounding processes, the SCFNA process could provide conductive fillerswith an effective forced networking assembly action to get a more compacted network.

From August 2017 a post-doctoral position at Institute of Plastic Mechinery and Plastic Engineering inBeijing China, centred on design and manufacturing of typical micro and nano device  and flexible radiator with high heat exchange efficiency based on  polymeric composites forming with micro-nano structure array.

From August 2018 to September 2019, he will do some research as a visiting scholar at the university of Bradford and the university of Warwick in UK, his research activities are mainly centered on flexible and highly sensitive pressure sensor based on conductive polymeric composites forming with micro-nano structure array for wearable electronics and internet of vehicles. It includes preparation methods of micro-nano structure array and improving the stability and sensibility of the sensors by changing the geometry size and layout of the micro-nano structures. Moreover, he is also interested in high electrically conductive and transparent thin films used for the anti-fog and defrosting heater on the car windshields and rearview mirrors. It includes characterization of the structure and feature of the thin films and tests of its mechanical properties.

 

 

 

Current Research

  • Functional polymeric nanocomposites such as thermally conductive polymer composites and CPCs
  • Polymer micro-nano manufacturing
  • Flexible and highly sensitive pressure sensor based on conductive polymeric composites.
     

Interested topics

  • Preparation of flexible and highly sensitive sensor
  • Design and manufacturing of typical polymer micro and nano device.
  • High electrically conductive and transparent thin films
  • Prof. Zhanhu Guo(Integrated Composites Laboratory and Department of Chemical & BiomolecularEngineering at University of Tennessee.USA)
  • Spatial Confining Forced Network Assembly for preparation ofhigh-performance conductive polymeric composites.
  •  Prof. I. Skopincev (Department of Machinery and Technology for Polymer Materials, Moscow Polytechnic University, Moscow, Russia)
  • A Mathematical Model for Predicting Conductivity ofPolymer Composites with a Forced Assembly NetworkObtained by SCFNA Method.