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Found 5 papers, 2 papers with code
NMR shift prediction from small data quantities
Prediction of chemical shift in NMR using machine learning methods is typically done with the maximum amount of data available to achieve the best results.
Direct deduction of chemical class from NMR spectra
This paper presents a proof-of-concept method for classifying chemical compounds directly from NMR data without doing structure elucidation.
Executable Interval Temporal Logic Specifications
We will investigate the reversibility of executable ITL specifications, i. e., how one can use this reflection operator to reverse the concrete behaviour of a particular system.
A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning
This is done using HSQC and HMBC spectra separately and in combination.
Experimental Investigations on the TMI Thresholds of Low-NA Yb-doped single mode fibers
In this contribution we investigate the transversal mode instability behavior of an ytterbium doped commercial 20/400 fiber and obtain 2. 9 kW of output power after optimizing the influencing parameters.
Optics
