Dmitri Dikin

 DmitriA. Dikin

Dmitri A. Dikin

  • Courses4
  • Reviews10

Biography

Temple University - Engineering

Research Associate Professor, Temple University, Philadelphia, PA
Dmitriy (Dima)
Dikin
Philadelphia, Pennsylvania
Seeking R&D consulting or senior scientist position within nanotechnology or advanced materials company.
Contact me at ddikin@gmail.com to discuss opportunities.

Keywords: nanocomposites, graphene, carbon nanotubes, nanowires, nanoparticles, carbon black, silica, polymer composites, SEM, FIB, EDX, AFM, confocal optical, Raman, PPMS, MPMS, SQUID, impedance spectroscopy, microwave, thermometry, thermopower, electrical-, thermal- conductivity, nanomechanics, photo-, e-beam- lithography, piezo actuators, fine machining, CVD, UHV, thin films, cryogenics, LN2 cooling, 3He-4He dilution, superconductivity, HTSC, complex oxides.

Professional Experience:
• Nano structures: graphene, carbon nanotubes, carbon black, silica. Structural, physical and chemical properties.
• Polymer nano composites: smart composites for applications in electronic, thermal, optical and structural devices.
• Instrumentation development: testing platform for integrated study of nanostructures. New tools and methods for biomedical research.
• Scanning electron microscopy and also optical and scanning probe microscopy with nanoscale resolution.


Experience

  • Temple University

    Research Associate Professor

    Developing electron microscopy facility
    Teaching Materials Science for Engineers

  • Northwestern University

    Research Associate Professor

    Department of Mechanical Engineering
    Department of Physics and Astronomy

    80+ publications

    • Polymer nanocomposites
    • Electronics and mechanics of nano carbon (CNTs, graphene)
    • Mesoscopic superconductivity
    • Analysis and microscopy (SEM, SPM, etc) with nano resolution
    • Lithography and other nano technologies

Education

  • Inst. for Low Temperature Physics and Eng.

    Ph.D.

    Physics, Superconductivity

  • Kharkov State Polytechnic University (ХПИ)

    MS

    Cryogenic Engineering

Publications

  • Utilizing real and statistically reconstructed microstructures for the viscoelastic modeling of polymer nanocomposites

    Composites Science and Technology

    In this paper, we present a new approach to finite element modeling of a nanoparticle filled polymer system that utilizes the actual and statistically reconstructed microstructures of the material. Typically, description of polymer nanocomposites for microstructure generation is difficult given the high degrees of freedom inherent in the location of each nanoparticle. The lack of true microstructure utilization hinders our ability to understand the interaction between the nanoparticle and polymer, which cannot easily be deconvoluted from experiments alone. We consider here a material system of carbon black particle fillers dispersed in synthetic natural rubber. Scanning Electron Microscope (SEM) images are first taken of these carbon black-rubber composites samples and then transformed into binary images. The binary images from either a microscope image of original specimens or microstructure reconstruction according to the material statistical description are used as geometric inputs for the finite element model along with experimentally determined viscoelastic properties of pure rubber. Simulations on the viscoelastic properties of the rubber composites are performed through ABAQUS. The simulated results are then compared with composite viscoelastic data in both frequency and temperature domains. The comparison shows that for the specific rubber/CB composite discussed in this paper, the thickness being 25 nm and relaxation time being 32 times that of matrix polymer provide the best approximations for the properties of interfacial polymer.

  • Utilizing real and statistically reconstructed microstructures for the viscoelastic modeling of polymer nanocomposites

    Composites Science and Technology

    In this paper, we present a new approach to finite element modeling of a nanoparticle filled polymer system that utilizes the actual and statistically reconstructed microstructures of the material. Typically, description of polymer nanocomposites for microstructure generation is difficult given the high degrees of freedom inherent in the location of each nanoparticle. The lack of true microstructure utilization hinders our ability to understand the interaction between the nanoparticle and polymer, which cannot easily be deconvoluted from experiments alone. We consider here a material system of carbon black particle fillers dispersed in synthetic natural rubber. Scanning Electron Microscope (SEM) images are first taken of these carbon black-rubber composites samples and then transformed into binary images. The binary images from either a microscope image of original specimens or microstructure reconstruction according to the material statistical description are used as geometric inputs for the finite element model along with experimentally determined viscoelastic properties of pure rubber. Simulations on the viscoelastic properties of the rubber composites are performed through ABAQUS. The simulated results are then compared with composite viscoelastic data in both frequency and temperature domains. The comparison shows that for the specific rubber/CB composite discussed in this paper, the thickness being 25 nm and relaxation time being 32 times that of matrix polymer provide the best approximations for the properties of interfacial polymer.

  • Synthesis of graphene-based nanosheets via chemical reduction of exfoliated graphite oxide

    Carbon

    Top 50 most highly cited articles from 50 years of Carbon. http://www.sciencedirect.com/science/article/pii/S0008622307000917 http://www.journals.elsevier.com/carbon/news/top-50-most-highly-cited-articles-from-50-years-of-carbon/ 1. Synthesis of graphene-based nanosheets via chemical reduction of exfoliated graphite oxide Stankovich, S., Dikin, D.A., Piner, R.D., Kohlhaas, K.A., Kleinhammes, A., Jia, Y., Wu, Y., Nguyen, S.T., Ruoff, R.S. (2007) Carbon, 45 (7), pp. 1558-1565.

ENGR 2331

3.3(5)

ENGR 3496

2.8(3)

MATSCI

3.5(1)