66 research outputs found
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Predicted thermochemistry and unimolecular kinetics of nitrous sulfide
Article on predicted thermochemistry and unimolecular kinetics of nitrous sulfide
The reaction kinetics of amino radicals with sulfur dioxide
Abstract: Application of the laser photolysis–laser-induced fluorescence method to the reaction NH2 + SO2 in argon bath gas yields pressure-dependent, third-order kinetics which may be summarized as = (1.49 ± 0.15) × 10^−31 (/298 K) − 0.83 cm^6 molecule^−2 s^−1 over 292 – 555 K, where the uncertainty is the 95% confidence interval and includes possible systematic errors.The quenching of vibrationally excited NH2 is consistent with a high-pressure limit for NH2 + SO2 of (1.62 ± 0.25) × 10^−11 cm^3 molecule^−1 s^−1 over the temperature range 295–505 K, where again the 95% confidence interval is shown. Abinitio analysis yields a H2N – SO2 dissociation enthalpy of 73.5 kJmol−1, and comparison with RRKM theory and the exponential down model for energy transfer yields ⟨Δ⟩down = 350 cm^−1 for Ar at room temperature
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Kinetic Studies of Chlorobenzene Reactions with Hydrogen Atoms and Phenyl Radicals and the Thermochemistry of 1-Chlorocyclohexadienyl Radicals
Article on kinetic studies of chlorobenzene reactions with hydrogen atoms and phenyl radicals and the thermochemistry of 1-chlorocyclohexadienyl radicals
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Kinetic Studies of the Reaction of Atomic Chlorine with Chlorobenzene
Article on kinetic studies of the reaction of atomic chlorine with chlorobenzene
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Experimental and Computational Studies of the Kinetics of the Reaction of Hydrogen Atoms with Carbon Disulfide
Article discussing an investigation of the reaction of H + CS₂ products. The reaction was found to be pressure dependent and in the fall-off region or near the low pressure limit. Transition state theory yields an estimate for the high-pressure limit of addition over 290–300 K of 1.3 × 10−9 exp( −7.2 kJ mol −1 /RT) cm3 molecule −1 s −1. Uncertainties are discussed in the text
Unveiling A Core Linguistic Region in Large Language Models
Brain localization, which describes the association between specific regions
of the brain and their corresponding functions, is widely accepted in the field
of cognitive science as an objective fact. Today's large language models (LLMs)
possess human-level linguistic competence and can execute complex tasks
requiring abstract knowledge and reasoning. To deeply understand the inherent
mechanisms of intelligence emergence in LLMs, this paper conducts an analogical
research using brain localization as a prototype. We have discovered a core
region in LLMs that corresponds to linguistic competence, accounting for
approximately 1% of the total model parameters. This core region exhibits
significant dimension dependency, and perturbations to even a single parameter
on specific dimensions can lead to a loss of linguistic competence.
Furthermore, we observe that an improvement in linguistic competence does not
necessarily accompany an elevation in the model's knowledge level, which might
imply the existence of regions of domain knowledge that are dissociated from
the linguistic region. Overall, exploring the LLMs' functional regions provides
insights into the foundation of their intelligence. In the future, we will
continue to investigate knowledge regions within LLMs and the interactions
between them.Comment: Work on progres
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Experimental and kinetic modeling study of C2H4 oxidation at high pressure
Article on an experimental and kinetic modeling study of C2H4 oxidation at high pressure
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High-Temperature Kinetics of the Reaction between Chlorine Atoms and Hydrogen Sulfide
Article on high-temperature kinetics of the reaction between chlorine atoms and hydrogen sulfide
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Reinvestigating repurchase intentions for travel apps: a comparison of China's various tiers of cities
The intense competition amongst travel apps, regardless of their popularity, has made repurchase intention a critical financial challenge for travel providers. By combining the Stimulus-Organism-Response (S-O-R) framework and the New Economic Geography (NEG) theory, this research examined how city tier disparities influence the experiential features of travel apps and user repurchase intentions. Survey data was acquired from 739 travel app users in China. The findings indicate that a set of context-based experiential features significantly influences utilitarian and hedonic values, and consequently leading to notable increase in repurchase intentions. In addition, the outcomes of a multigroup analysis revealed that the China’s users located in tier 1 city (i.e., Beijing) and tier 3 city (i.e., Kunming) had distinct effects on the hypothesised relationships. Theoretically, the research provides extensive implications to information systems and tourism literatures; whilst offers some actionable insights to travel practitioners
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Kinetic and Modeling Studies of the Reaction S + H2S
Article on kinetic and modeling studies of the reaction S + H2S
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