Li(NH(3))(4) has been proposed as a key entity in lithium-ammonia solutions, but its spectral signature has so far proved impossible to distinguish from other species in these solutions. Here we report the first electronic spectrum of Li(NH(3))(4) in the gas phase, which was recorded using mass-selective depletion spectroscopy. Strong absorption is observed in the near-infrared and the band system is assigned to the A (2)T(2)-X (2)A(1) transition in a nominally tetrahedral complex. However, the vibrational structure is indicative of a substantial Jahn-Teller effect in the excited electronic state. The broad and structured spectrum confirms a recent theoretical prediction that the electronic spectrum of Li(NH(3))(4) will strongly overlap with the spectrum of the solvated electron in lithium-ammonia solutions.
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http://dx.doi.org/10.1063/1.3396023 | DOI Listing |
Eur J Neurosci
January 2025
Institute of Neuroscience (IONS), UCLouvain, Brussels, Belgium.
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College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China.
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School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Emotion recognition is an advanced technology for understanding human behavior and psychological states, with extensive applications for mental health monitoring, human-computer interaction, and affective computing. Based on electroencephalography (EEG), the biomedical signals naturally generated by the brain, this work proposes a resource-efficient multi-entropy fusion method for classifying emotional states. First, Discrete Wavelet Transform (DWT) is applied to extract five brain rhythms, i.
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Department of Electronics and Telecommunications (DET), Politecnico di Torino, 10129 Turin, Italy.
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January 2025
Departamento de Física Aplicada, Facultade de Óptica e Optometríae Instituto de Materiais (iMATUS) Campus Vida, Universidade de Santiago de Compostela (USC) 15782 Galicia Spain.
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