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N-(5-{[antipyrinyl-hydrazono]-cyanomethyl}-[1,3,4]thiadiazol-2-yl)-benzamide is a chemical with a specific purpose. Lookchem provides you with multiple data and supplier information of this chemical.

290810-83-2

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290810-83-2 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 290810-83-2 includes 9 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 6 digits, 2,9,0,8,1 and 0 respectively; the second part has 2 digits, 8 and 3 respectively.
Calculate Digit Verification of CAS Registry Number 290810-83:
(8*2)+(7*9)+(6*0)+(5*8)+(4*1)+(3*0)+(2*8)+(1*3)=142
142 % 10 = 2
So 290810-83-2 is a valid CAS Registry Number.

290810-83-2Downstream Products

290810-83-2Relevant academic research and scientific papers

Thermal stability, AC electrical conductivity and dielectric properties of N-(5-{[antipyrinyl-hydrazono]-cyanomethyl}-[1,3,4]thiadiazol-2-yl)-benzamide

El-Menyawy,Zedan,Mansour,Nawar

, p. 50 - 56 (2014)

A novel organic compound containing antipyrine and thiadiazole moieties, N-(5-{[antipyrinyl-hydrazono]-cyanomethyl}-[1,3,4]thiadiazol-2-yl)-benzamide (ACTB) has been synthesized. The thermal properties, alternating current electrical conductivity (σAC) and electrical modulus of ACTB have been reported. The thermal properties were analyzed using differential scanning calorimetry and thermogravimetric measurements. The AC measurements of bulk ACTB were performed in frequency range 100 Hz-5 MHz and temperature range 303-503 K. The frequency dependence of AC conductivity is found to follow Jonscher's universal power law with the applicability of the correlated barrier hopping model. The temperature dependence of σAC could be described in terms of Arrhenius relation with two activation energies. The activation energy decreases witty and effectiveness of proposed USDA versus SSDA methods. Moreover, we propose a computationally efficient alternative to TGP (Bo and Sminchisescu 2010), and it's variants, called the direct TGP. We show that our model outperforms a number of baselines, on two public datasets: HumanEva and ETH Face Pose Range Image Dataset. We can also achieve 8-15 times speedup in computation time, over the traditional formulation of TGP, using the proposed direct formulation, with little to no loss in performance.

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