Manoranjan Mandal1, Subhasri Subudhi1,Injamul Alam1,BVRS Subramanyam1,Santosini Patra1, and Pitamber Mahanandia1*
1Department of Physics & Astronomy, National Institute of Technology, Rourkela-769008
Page Number: 1-10
We report the preparation of an electrode material made up of MnO2/ graphene/ activated carbon ternary
composite by hydrothermal method for supercapacitor (SC) applications. The prepared ternary composite
has been characterized by using scanning electron microscopy (SEM), powder X-ray diffraction (XRD),
energy dispersive spectroscopy (EDS) and Raman spectroscopy measurements. The prepared objective
electrode has been investigated using galvanostatic charge-discharge (GCD) and cyclic voltammetry (CV)
measurements in a 3-electrode system using 3M KOH aqueous electrolyte for the analysis of their
electrochemical performance. The prepared MnO2/graphene/activated carbon composite results in maximum
capacitance of ~ 493.57 F/g at 5 mV/s using CV and moreover the highest capacitance obtained from the
GCD measurement is ~ 485.29 F/g at 1 A/g. The long-term cycle stability of the composite electrode is also
demonstrated and it shows outstanding cyclic performance where 97% of capacitance is left over 5000
cycles at 1 A/g. Therefore, the composite shows good charge storage performance, as well as tremendous
cycle stability and that, reveal the synthesized ternary composite can be a suitable electrode for SC
applications.
1,2,3Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur,
India – 721302
Page Number: 11-18
Twinning plays a critical part in the plastic deformation of the materials and the strengthening mechanisms
and is hence considered as one of the most prevalent deformation mechanisms in metals. Because to the high
stacking fault energy of the fcc metals like Al, Pd, and Pt, the extended dislocations are believed to be
energetically favored over isolated partials, thereby rendering deformation twinning unfeasible.
Nevertheless, some recent experimental researches have confirmed a potential deformation twinning
pathway in nanocrystalline platinum. This alternate-shear mechanism has a much lower energy barrier than
the usual layer-by-layer twinning. We utilize computations involving atomistic calculations and continuum
modeling in this study to examine the genesis of deformation twins in Pt. Atomistic simulations provides the
generalized planer fault energy using an EAM (embedded-atom-model) potential. Moreover, a potential
energy-based method, namely; a nudged-elastic band (chain of states) has been used to compute the
activation energy barrier for the nucleation of the twinning dislocation loop in the alternate-shear model. The
critical stress needed for the nucleation of the twinning dislocation loop in platinum is estimated using some
of the parameters acquired from atomistic calculations and using them as fitting parameters in the continuum
model. The minimum-energy path between the two end states can be identified using this methodology.
Through the unusual alternate-shear approach, the results provide a rudimentary but essential dislocationbased perspective of the occurrence of deformation twins in fcc metals
Delma D’Souza1, Jagannatha N.1*,Nagaraja K. P 1,and Ganavi A. S.2
1Department of Physics, FMKMC College (A constituent college of Mangalore University), Madikeri,
Karnataka, India
2Department of Physics, Mangalore University, Mangalagangothri, Karnataka, India
Page Number: 19-31
Manganese doped barium phosphate (MDBP) crystals were grown by gel technique. Phosphoric acid
impregnated silica (PIS) gel was optimized by varying gel parameters: pH, specific gravity of sodium meta
silicate, concentration of acid and temperature of gelling solution. In an optimized growth environment,
Ba2+-Mn2+ cationic mixture was made to diffuse through the set PIS gel to nucleate with intrinsically
available (PO4)
3- ions, which yielded high quality MDBP crystals. Energy dispersive X-ray analysis
confirmed the constitution of MDBP crystal by the prime elements Ba, Mn, P and O with cationic
distribution 8.784 : 1 (Ba2+ : Mn2+). Fourier transform infrared spectral studies identified the phosphate
group, water of crystallization and M-O (M= Ba2+, Mn2+) bonds in the crystal armature. Thermogravimetric
analysis demonstrated the degradation behavior and ensured the thermal stability upto 500o
C in the
phosphorus pentoxide state. MDBP crystals exhibited high crystalline nature and adjoined to orthorhombic
geometry. The crystals being insulators, ingrained with high band gap energy of 6.08 eV.
1Biomedical Optics Laboratory, Department of Physics, Indian institute of technology (Indian school of
mines), Dhanbad, Jharkhand 826004, India
Page Number: 32-35
In the proposed work, laser biospeckle technique has been used for visual inspection as well as quantitative
evaluation of basics parts of the plant grown in hydroponic medium for the first time. Co-Occurrence matrix,
Inertia Moment, Absolute Value Difference and Parameterized Global Average Fujii algorithms have been
used for biospeckle activity analysis. It is concluded that biospeckle activity obtained using the algorithms
can be used for visual inspection as well as quantitative evaluation successfully. In addition, it is also
concluded that biospeckle activity has been found highest in the roots and more in leaf in comparison to
stem and seed.
1Department of Physics, Amity University, Major Arterial Road (South-East), AA II, Newtown, Kolkata,
India.
Page Number: 36-45
We report a Tamm plasmon polariton (TPP) arrangement whose design consists of a thin Silver
(Ag) film which is the plasmon-active metal and lies adjacent to the distributed Bragg Reflector
(DBR) structure. The DBR consists of periodically stratified layers of Ta2O5 and SiO2. TPP modes
are excited through normal incidence using a white light source and we have obtained the
corresponding reflectivity spectrum as a function of wavelength. The excitation spectrum is
characterized by a sharp and distinguishable reflectivity dip within the photonic band-gap of DBR.
Extending this version of the idea, we have replaced the single plasmon-active metal by two metals
to overrule the drawbacks of these single metals concerning their physiochemical properties like
propagation length, chemical stability, and various losses during propagation of the plasmon wave,
etc. Hence, we have obtained the reflectivity characteristics for different bimetallic architecture
supporting TPP resonances. Thereafter, we have also obtained the Full Width at Half Minimum
(FWHM) wavelengths and Quality Factor (Q-Factor) characteristics as a function of metal
thickness for two different plasmon active metallic combinations, where the total bimetallic
thickness remains constant. The shortcomings of a particular metal are nullified by the presence of
the other metal with it. Such an arrangement is envisioned for the fabrication of nanoscale smart
devices like optical and biosensors having potential applications in social welfare domain like
monitoring the levels of food adulteration and food safety, etc.
1
Computer Science, St. Xavier's College, Kolkata 700016.
2
Computer Science, Government General Degree College Singur.
Page Number: 46-53
The air quality index is an index to decide the situation of the air quality. The air quality index is a measure
of how air pollutants impact a persons' fitness within a time period. It is a standardized degree this is used to
suggest the pollutant (so2, no2, pm 2.5, pm 10, etc.) levels. We designed a model that could estimate the air
quality index based totally on ancient records of a few preceding years. The performance of this model is
progressed through making use of numerous Estimation-Problem logics. Our model could be able to
correctly predict the air quality index of a complete county or any nation or any bounded area supplied with
the ancient records of pollutant concentration. In our model by implementing a support-vector machine, we
achieved better performance than other models and for that our model gets an accuracy of 96%. With the
help of support-vector machine, our model estimates the air quality to predict the air quality index of a given
location primarily based totally on its ancient records of the pollution of a few preceding years. Our purpose
is to increase a non-linear updatable version for real-time air quality index forecasting, to doubtlessly update
the models presently being used.
Keywords: Air quality index, Support vector machine, Prediction, Machine Learning.