Cho, Soo Gyeong published the artcileOptimization of neural networks architecture for impact sensitivity of energetic molecules, Recommanded Product: 4-Nitro-2H-1,2,3-triazole, the publication is Bulletin of the Korean Chemical Society (2005), 26(3), 399-408, database is CAplus.
Neural network (NN) studies were used to predict impact sensitivity of various explosive mols. A total of 234 explosive mols. were taken from a single database and 39 mol. descriptors were computed for each explosive mol. Optimization of NN architecture was done by examining 7 sets of mol. descriptors and varying the number of hidden neurons. To optimize NN architecture, 17 mol. descriptors were used, composed of compositional and topol. descriptors in an input layer, and 2 hidden neurons in a hidden layer.
Bulletin of the Korean Chemical Society published new progress about 84406-63-3. 84406-63-3 belongs to triazoles, auxiliary class Triazole,Nitro Compound, name is 4-Nitro-2H-1,2,3-triazole, and the molecular formula is C2H2N4O2, Recommanded Product: 4-Nitro-2H-1,2,3-triazole.
Referemce:
https://en.wikipedia.org/wiki/1,2,3-Triazole,
Triazoles – an overview | ScienceDirect Topics