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A comprehensive study of the ground vibrational state of the C-13 substituted methanol using high-resolution Synchrotron radiation spectra: Perturbation, forbidden, torsional fundamental overtone, excited overtones, and hot overtones transitions.
Spectrochim Acta A Mol Biomol Spectrosc
December 2024
Department of Physics and Engineering, Albany State University, GA 31707. USA. Electronic address:
This work represents a comprehensive study of the ground vibrational state of C-13 substituted methanol using very high-resolution far-infrared (FIR) and infrared (IR) Synchrotron Radiation spectra recorded with a very high signal-to-noise (S/N) ratio in the entire region from 40to5000cm, at the Canadian Light sources. High resolution combined with a high S/N ratio allowed the recording to be done with an unprecedented resolution of about 0.0017cm.
View Article and Find Full Text PDFQuantifying the Chirality of Vibrational Modes in Helical Molecular Chains.
Phys Rev Lett
December 2024
Tel Aviv University, University of Pennsylvania, Department of Chemistry, Philadelphia, Pennsylvania 19104, USA and School of Chemistry, Tel Aviv 69978, Israel.
Chiral phonons have been proposed to be involved in various physical phenomena, yet the chirality of molecular normal modes has not been well defined mathematically. Here we examine two approaches for assigning and quantifying the chirality of molecular normal modes in double-helical molecular wires with various levels of twist. First, associating with each normal mode a structure obtained by imposing the corresponding motion on a common origin, we apply the continuous chirality measure (CCM) to quantitatively assess the relationship between the chirality-weighted normal mode spectrum and the chirality of the underlying molecular structure.
View Article and Find Full Text PDFReconstruction of vibration noise in plate structures based on Data-Physics driven model and transfer learning.
J Acoust Soc Am
January 2025
Urban Construction Center of Lucheng District of Wenzhou, Wenzhou, 325000, China.
The identification of vibration and reconstruction of sound fields of plate structures are important for understanding the vibroacoustic characteristics of complex structures. This paper presents a data-physics driven (DPD) model integrated with transfer learning (DPDT) for high-precision identification and reconstruction of vibration and noise radiation of plate structures. The model combines the Kirchhoff-Helmholtz integral equation with convolutional neural networks, leveraging physical information to reduce the need for extensive data.
View Article and Find Full Text PDFDistributed acoustic sensing (DAS) is a technology that uses optical fiber as a sensing unit to detect external vibration signals. Due to the high resolution and high sensitivity of DAS, it has great application potential in the detection of vibration events. However, high detection performance will bring limitations to DAS in multi-source detection.
View Article and Find Full Text PDFWhole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma.
NPJ Digit Med
January 2025
Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Existing prognostic models are useful for estimating the prognosis of lung adenocarcinoma patients, but there remains room for improvement. In the current study, we developed a deep learning model based on histopathological images to predict the recurrence risk of lung adenocarcinoma patients. The efficiency of the model was then evaluated in independent multicenter cohorts.
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