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Simulate and predict NMR spectra directly from your webbrowser using standard HTML5. You can also simulate 13C, 1H as well as 2D spectra like COSY, HSQC, HMBC. Second order effect like AB, ABX, AA'XX' can be simulated as well.
The 13 C NMR predictor is a machine learning-based predictor for small molecules. The predictor accepts the molecular structure and returns the predicted 13 C chemical shift values in ppm in D2O, CDCL3, DMSO or CD3OD solvent.
Find the structure from 1H spectrum. 1H exercise generator. Assign 1H NMR spectra to molecule. 13C NMR. 1H NMR spectra of small molecules. 1H NMR spectra of Boc amino acids. Number of different Hs. 1H NMR integrate and find the structure. 1H number of signals.
Simulate and predict NMR spectra directly from your webbrowser using standard HTML5. You can also simulate 13C, 1H as well as 2D spectra like COSY, HSQC, HMBC. Second order effect like AB, ABX, AA'XX' can be simulated as well.
NMRPredict is the most accurate C13 prediction program available today. This is because: It uses two complimentary prediction algorithms. Both the traditional HOSE code and also a unique Neural Network algorithm. It is able to take stereochemistry into account during prediction.
Predict a complete set of 1D and 2D NMR spectra, for 1 H, 13 C, 15 N, 19 F, and 31 P nuclei from a chemical structure. Calculate chemical shifts and coupling constants in seconds. Train the algorithms with in-house data to improve accuracy for novel chemical space.
'NMRPredict' predicts 1 H and 13 C NMR spectra including stereochemical considerations from structures using modern algorithms. Force-field calculation and parametered functional group information are used for 1 H-NMR spectrum prediction.
