The molecular properties, geometric parameters, atomic charges, and vibrational spectra of sodium 1,2,4-triazolate were investigated with both experimentally and quantum chemical modeling. During the quantum chemical calculations the possible tautomery and the aqueous environment were considered since the compound is hygroscopic. The polar environment was modeled as an aqueous solvent, and by adding water molecules as structural water. The two kinds of effects were also applied together.
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http://dx.doi.org/10.1016/j.saa.2015.08.014 | DOI Listing |
Spectrochim Acta A Mol Biomol Spectrosc
December 2024
School of Agriculture and Bioengineering, Heze University, Heze 274500, China. Electronic address:
Herin, the successful synthesis of a bis Schiff base (L) has been achieved using 2-hydroxy-1-naphthaldehyde and 1,3-diaminoguanidine as raw materials, which was further characterized by infrared spectroscopy, mass spectrometry, and nuclear magnetic resonance hydrogen spectrum. Moreover, spectroscopic experiments demonstrated that the probe L showed good selectivity and visual detectability for Al. Its detection limit (DL) is 2.
View Article and Find Full Text PDFJ Biomol Struct Dyn
December 2024
Centre for Biotechnology, Siksha 'O' Anusandhan (Deemed to Be University), Bhubaneswar, Odisha, India.
In the relentless pursuit of unraveling the intricate pathophysiology of Alzheimer's disease (AD), amyloid β (Aβ) proteins emerge as focal points due to their pivotal role in disease progression. The pathological hallmark of AD involves the aberrant aggregation of Aβ peptides into amyloid fibrils, precipitating a cascade of neurodegenerative events culminating in cognitive decline and neuronal loss. This study adopts a computational framework to investigate the potential therapeutic efficacy of novel biosurfactants (BS) in mitigating Aβ fibril formation.
View Article and Find Full Text PDFACS Nano
December 2024
SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Republic of Korea.
Half-metallic magnetism, characterized by metallic behavior in one spin direction and semiconducting or insulating behavior in the opposite spin direction, is an intriguing and highly useful physical property for advanced spintronics because it allows for the complete realization of 100% spin-polarized current. Particularly, half-metallic antiferromagnetism is recognized as an excellent candidate for the development of highly efficient spintronic devices due to its zero net magnetic moment combined with 100% spin polarization, which results in lower energy losses and eliminates stray magnetic fields compared to half-metallic ferromagnets. However, the synthesis and characterization of half-metallic antiferromagnets have not been reported until now as the theoretically proposed materials require a delicate and challenging approach to fabricate such complex compounds.
View Article and Find Full Text PDFJ Org Chem
December 2024
Department of Pharmacy, The First Affiliated Hospital, Jinan University, Guangzhou 510630, China.
Nine new structurally diverse filicinic acid-based meroterpenoids (-) with four kinds of carbon skeletons were isolated from the rhizomes of . Their structures, including the absolute configurations, were elucidated by comprehensive analysis of spectroscopic data, quantum chemical calculations, and single-crystal X-ray diffraction. Structurally, compounds - feature an unprecedented 6/6/5/6/6/6 hexacyclic system with a rare oxaspiro[4.
View Article and Find Full Text PDFNat Comput Sci
December 2024
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Machine learning plays an important role in quantum chemistry, providing fast-to-evaluate predictive models for various properties of molecules; however, most existing machine learning models for molecular electronic properties use density functional theory (DFT) databases as ground truth in training, and their prediction accuracy cannot surpass that of DFT. In this work we developed a unified machine learning method for electronic structures of organic molecules using the gold-standard CCSD(T) calculations as training data. Tested on hydrocarbon molecules, our model outperforms DFT with several widely used hybrid and double-hybrid functionals in terms of both computational cost and prediction accuracy of various quantum chemical properties.
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