• Artificial neural networks as a supporting tool for compatibility study based on thermogravimetric data

Data

[{'id': 66226, 'desc': '1 datapoints in 1 series, <b>quantities:</b> Normal melting temperature, <b>system:</b> caffeine'}, {'id': 66227, 'desc': '1 datapoints in 1 series, <b>quantities:</b> Triple point temperature, <b>system:</b> caffeine'}, {'id': 66228, 'desc': '1 datapoints in 1 series, <b>quantities:</b> Normal melting temperature, <b>system:</b> 2-aminoacetic acid'}, {'id': 66229, 'desc': '1 datapoints in 1 series, <b>quantities:</b> Normal melting temperature, <b>system:</b> D-sorbitol'}, {'id': 66230, 'desc': '1 datapoints in 1 series, <b>quantities:</b> Normal melting temperature, <b>system:</b> D-sucrose'}, {'id': 66231, 'desc': '1 datapoints in 1 series, <b>quantities:</b> Normal melting temperature, <b>system:</b> D-glucose'}] temp"