Publications by authors named "K Lao"

Ethylene glycol dinitrate (EGDN) is a nitrate ester explosive widely used in military ordnance and missile systems. This study investigates the decomposition dynamics of the EGDN cation using a comprehensive approach that combines femtosecond time-resolved mass spectrometry (FTRMS) experiments with electronic structure and molecular dynamics computations. We identify three distinct dissociation time scales for the metastable EGDN cation of approximately 40-60 fs, 340-450 fs, and >2 ps.

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This study demonstrates that patient advocacy groups significantly enhance medication availability and improve diagnosis of hereditary angioedema (HAE), particularly in emerging economies within the Asia-Pacific region. This study supports integrating patient advocacy group involvement into management guidelines, emphasising their role in improving access to diagnostics and treatment for HAE.

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SiGe alloy nanocrystals (NCs) are a class of benign semiconductors that show size and composition-tunable energy gaps and promising optical properties because of the lattice disorder. The random distribution of elements within the alloys can lead to efficient light-matter interactions, making them attractive for Si-compatible optoelectronic devices, transistors, charge storage, and memory applications. However, the fabrication of discrete, quantum-confined alloys has proved a challenging task.

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In this study, we introduce two datasets for nanoscale noncovalent binding, featuring complexes at the hundred-atom scale, benchmarked using coupled cluster with single, double, and perturbative triple [CCSD(T)] excitations extrapolated to the complete basis set (CBS) limit. The first dataset, L14, comprises 14 complexes with canonical CCSD(T)/CBS benchmarks, extending the applicability of CCSD(T)/CBS binding benchmarks to systems as large as 113 atoms. The second dataset, vL11, consists of 11 even larger complexes, evaluated using the local CCSD(T)/CBS method with stringent thresholds, covering systems up to 174 atoms.

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Article Synopsis
  • - This study examines how seven different gas molecules interact with a porous organic cage called CC3, using advanced computational methods to analyze their binding strength and the effects of confinement.
  • - The researchers created the CC3@7 dataset to explore various computational techniques, finding that the best MP2-based method and several DFT methods achieved very low mean absolute errors in predicting binding orders.
  • - The PBE0+D4 method is highlighted for its accuracy and robustness in studying these types of molecular interactions, and it has been effectively used to investigate the binding of larger molecules and solvent effects.
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