{'fraction_non_alphanumeric': 0.0192, 'fraction_numerical': 0.0, 'mean_word_length': 5.731182795698925, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Quantitative Prediction of Properties of Organic Molecules from ELNES via Artificial Neural Network

Electron energy loss near edge structure (ELNES) and x-ray adsorption near edge structure (XANES), socalled core-loss spectroscopy, correspond to absorption spectrum originating from an electronic transition from a core orbital to conduction bands, and reflect partial density of states of the unoccupied orbitals at the excited state. As ELNES and XANES commonly provide information on local atomic structures and electronic states, they have been widely used for nanoscale analysis of wide variety of functional materials.