Experience of Thermophysical Database Development Using Modern Information Technologies (Review)

Белов, Г. П.; Еркимбаев, А. О.; Zitserman, V. Yu.; Кобзев, Г. А.; Морозов, И. В.

doi:10.1134/s0018151x2004001x

Cited by 7 publications

(4 citation statements)

References 43 publications

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“…Experimental data for the electronic spectrum and structure of the ArN molecule is missing in the literature, therefore all the results were obtained exclusively from our ab initio calculations. The methods of CASSCF (13,8) and MRCI+Q with "aug-cc-pwcVTZ" basis T A B L E 6 Thermodynamic functions of ArN. Taking the spin-orbit and spin-spin interactions into account, nine different potential curves were obtained in total for the above mentioned terms with the excitation energy less than 95,000 cm À1 (see Figure 4).…”

Section: Interaction Potentials and Thermodynamic Functions Of Arnmentioning

confidence: 99%

“…The calculation results were added to the thermodynamic database on the properties of individual substances IVTANTERMO. 12,13 Since the argon compounds have a low dissociation energy in their ground state, the excited states can contribute significantly to the heat capacity and other thermodynamic properties at high temperatures. This is especially true for neutral molecules, as seen from the properties of ArH and ArO.…”

Section: Introductionmentioning

confidence: 99%

“…This method was used 8–11 to calculate the thermodynamic properties of ArV + , ArCo + , Ar 2 ,

{Ar}_{2}^{+}

, ArO, ArO + , ArH, and ArH + . The calculation results were added to the thermodynamic database on the properties of individual substances IVTANTERMO 12,13 …”

Section: Introductionmentioning

confidence: 99%

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Ab initio calculations of the interaction potentials and thermodynamic functions for ArN and ArN⁺

et al. 2023

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Argon compounds play an important role in the mass spectrometry with inductively coupled plasma and other applications. At the same time, there is a little knowledge of their electronic terms and thermodynamic functions due to the complexity of experimental observations. In this work, the ab initio simulations are performed to obtain the interatomic interaction potentials for the ground and excited states of ArN and ArN+. Using these potentials, the vibrational‐rotational partition functions and thermodynamic properties in the gas phase are calculated for these molecules at the temperature range of 298.15–10,000 K. The errors of the thermodynamic functions associated with the approximation of interatomic interaction potentials are estimated.

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Section: Interaction Potentials and Thermodynamic Functions Of Arnmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ab initio calculations of the interaction potentials and thermodynamic functions for ArN and ArN⁺

et al. 2023

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“…As an important information carrier, English is the most widely used language in the world. Accordingly, learning English has become a necessary requirement, and English proficiency certificate has become a must for every college student [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Intelligent Scoring System for English Essays under the Background of Modern Information Technology

Hong-fu

2022

Computational Intelligence and Neuroscience

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This work is to reduce the workload of teachers in English teaching and improve the writing level of students, so as to provide a way for students to practice English composition scoring independently and satisfy the needs of college teachers and students for intelligent English composition scoring and intelligently generated comments. In this work, it firstly clarifies the teaching requirements of college English classrooms and expounds the principles and advantages of machine learning technology. Secondly, a three-layer neural network model (NNM) is constructed by using the multilayer perceptron (MLP), combined with the latent Dirichlet allocation (LDA) algorithm. Furthermore, three semantic representation vector technologies, including word vector, paragraph vector, and full-text vector feature, are used to represent the full-text vocabulary of English composition. Then, a model based on the K-nearest neighbors (kNN) algorithm is proposed to generate English composition evaluation, and a final score based on the extreme gradient boosting (XGBoost) model is proposed. Finally, a model dataset is constructed using 800 college students’ English essays for the CET-4 mock test, and the model is tested. The research results show that the semantic representation vector technology proposed can more effectively extract the lexical semantic features of English compositions. The XGBoost model and the kNN algorithm model are used to score and evaluate English compositions, which improves the accuracy of the scores. This makes the management of the entire scoring model more efficient and more accurate. It means that the model proposed is better than the traditional model in terms of evaluation accuracy. This work provides a new direction for the application of artificial intelligence technology in English teaching under the background of modern information technology.

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Emissivity of Metals of the Second Group of the Periodic Table

Kosenkov,

Sagadeev

2024

J Eng Phys Thermophy

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Experience of Thermophysical Database Development Using Modern Information Technologies (Review)

Cited by 7 publications

References 43 publications

Ab initio calculations of the interaction potentials and thermodynamic functions for ArN and ArN⁺

Ab initio calculations of the interaction potentials and thermodynamic functions for ArN and ArN⁺

Machine Learning-Based Intelligent Scoring System for English Essays under the Background of Modern Information Technology

Emissivity of Metals of the Second Group of the Periodic Table

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Experience of Thermophysical Database Development Using Modern Information Technologies (Review)

Cited by 7 publications

References 43 publications

Ab initio calculations of the interaction potentials and thermodynamic functions for ArN and ArN+

Ab initio calculations of the interaction potentials and thermodynamic functions for ArN and ArN+

Machine Learning-Based Intelligent Scoring System for English Essays under the Background of Modern Information Technology

Emissivity of Metals of the Second Group of the Periodic Table

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Product

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Ab initio calculations of the interaction potentials and thermodynamic functions for ArN and ArN⁺

Ab initio calculations of the interaction potentials and thermodynamic functions for ArN and ArN⁺