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原子分子和材料物性数据

Machine learning-driven elasticity prediction in advanced inorganic materials via convolutional neural networks
LIU Yujie, WANG Zhenyu, LEI Hang, ZHANG Guoyu, XIAN Jiawei, GAO Zhibin, SUN Jun, SONG Haifeng, DING Xiangdong
2025, 74 (12): 120702. doi: 10.7498/aps.74.20250127
Abstract +
Inorganic crystal materials have shown extensive application potential in many fields due to their excellent physical and chemical properties. Elastic properties, such as shear modulus and bulk modulus, play an important role in predicting the electrical conductivity, thermal conductivity and mechanical properties of materials. However, the traditional experimental measurement method has some problems such as high cost and low efficiency. With the development of computational methods, theoretical simulation has gradually become an effective alternative to experiments. In recent years, graph neural network-based machine learning methods have achieved remarkable results in predicting the elastic properties of inorganic crystal materials, especially, crystal graph convolutional neural networks (CGCNNs), which perform well in the prediction and expansion of material data.In this study, two CGCNN models are trained by using the shear modulus and bulk modulus data of 10987 materials collected in the Matbench v0.1 dataset. These models show high accuracy and good generalization ability in predicting shear modulus and bulk modulus. The mean absolute error (MAE) is less than 13 and the coefficient of determination ($ R^2$) is close to 1. Then, two datasets are screened for materials with a band gap between 0.1 and 3.0 eV and the compounds containing radioactive elements are excluded. The dataset consists of two parts: the first part is composed of 54359 crystal structures selected from the Materials Project database, which constitute the MPED dataset; the second part is the 26305 crystal structures discovered by Merchant et al. (2023 Nature 624 80) through deep learning and graph neural network methods, which constitute the NED dataset. Finally, the shear modulus and bulk modulus of 80664 inorganic crystals are predicted in this study This work enriches the existing material elastic data resources and provides more data support for material design. All the data presented in this paper are openly available at https://doi.org/10.57760/sciencedb.j00213.00104.
Opacities of X2Σ+, A2Π, and B2Σ+ states of CO+ molecule ion
AN Siyaolitu, WANG Tong, XIAO Lidan, LIU Di, ZHANG Xia, YAN Bing
2025, 74 (12): 123101. doi: 10.7498/aps.74.20250380
Abstract +
Carbon monoxide cation (CO+) plays a dominant role in some astrophysical atmosphere environments, and theoretical research on its opacity is crucial for modeling radiative transport. In this work, based on experimentally observed vibrational energy levels of the X2Σ+, A2Π, and B2Σ+ electronic states of CO+, the potential energy curves are improved and constructed using a modified Morse (MMorse) potential function, then the vibrational energy levels and spectroscopic constants are extracted. In the meantime, the internally contracted multireference configuration interaction (MRCI) method with Davison size-extensivity correction (+Q) is used to calculate the potential energy curves and transition dipole moments. The refined MMorse potential shows excellent agreement with the computed potential energy curves, while the spectroscopic constants and vibrational levels indicate strong consistency with existing theoretical and experimental data. The opacities of the CO+ molecule is computed at different temperatures under the pressure of 100 atm. The result shows that as temperature rises, the opacities of transitions in the long-wavelength range increases because of the larger population on excited electronic states at higher temperatures. All the data presented in this paper are openly available at https://doi.org/10.57760/sciencedb.j00213.00136.
Theoretical study on excited states of ICl+ molecular ion considering spin-orbit coupling
LI Rui, DOU Ronglong, GAO Ting, LI Qinan, SONG Chaoqun
2025, 74 (12): 123102. doi: 10.7498/aps.74.20250510
Abstract +
The electronic structure of the ICl+ molecular ion is investigated by using high-level multireference configuration interaction (MRCI) method. To improve computational accuracy, Davidson corrections, spin-orbit coupling (SOC), and core-valence electron correlations effects are incorporated into the calculations. The potential energy curves (PECs) of 21 Λ-S states associated with the two lowest dissociation limits I+(1Dg)+Cl(2Pu) and I+(3Pg)+Cl(2Pu) are obtained. The dipole moments (DMs) of the 21 Λ-S states of ICl+ are systematically studied, and the variations of DMs of the identical symmetry state (22Σ+/32Σ+ and 22Π/32Π) in the avoided crossing regions are elucidated by analyzing the dominant electronic configuration. When considering the SOC effect, the Λ-S states with the same Ω components may form new avoided crossing point, making the PECs more complex. With the help of calculated SOC matrix element, the interaction between crossing states can be elucidated. Spin-orbit coupling matrix elements involving the 22Π, 32Π, 12Δ and 22Δ states are calculated. By analyzing potential energy curves of these states and the nearby electronic states, the possible predissociation channels for 22Π, 32Π, 12Δ and 22Δ states are provided. Based on the computed PECs, the spectroscopic constants of bound Λ-S and Ω states are determined. The comparison of the spectroscopic constants between Λ-S and Ω states indicates that the SOC effect has an obvious correction to the spectroscopic properties of low-lying states. Finally, the transition properties between excited states and the ground state are studied. Based on the computed transition dipole moments and Franck-Condon factors, radiative lifetimes for the low-lying vibrational levels of excited states are evaluated. All the data presented in this paper are openly available at https://doi.org/10.57760/sciencedb.j 00213.00140.
Database of radiation opacity of low-density aluminum, iron and gold plasmas
ZENG Jiaolong, GAO Cheng, YUAN Jianmin
2025, 74 (12): 125202. doi: 10.7498/aps.74.20250301
Abstract +
Radiative opacity plays an important role in investigating radiative transfer, radiation hydrodynamics and other relative disciplines. In practical applications, these data are mainly obtained by theoretical calculations. The accuracy of the theories is checked by limited experiments. Within the theoretical framework of detailed level accounting model, systematic theoretical investigations of the radiative opacity of plasmas such as aluminum, iron, and gold plasmas are conducted. A database of spectrally resolved radiative opacities and Rosseland and Planck mean opacities is established for densities ranging from 0.001 to 0.1 g/cm3 and temperatures from 1 to 300 eV. A data base is built based on these theoretical opacities. A huge number of quantum states are involved in the calculation of opacity, especially for high-Z gold plasmas. This poses a great challenge for obtaining accurate opacity of gold plasma. For such high-Z plasmas, it is necessary to develop other codes such as unresolved transition arrays or even average atom models to quickly obtain the opacity. Accurate opacity data are very lacking for such high-Z plasmas and the data presented in this library provides important references for other less detailed opacity codes.For aluminum and iron plasmas, their opacities are compared with those from the code ATOMIC. It is found that they are in good agreement for most cases of plasma conditions. Yet, discrepancies are still found in a few cases of plasma densities and temperatures, as indicated in the figures shown in the text. At photon energy of approximately 850 eV, however, some strong lines of aluminum plasma are notably absent in Al plasma generated by other codes, which will affect the radiative transfer in the X-ray region. In our code, we avoid such problems by including all possible line absorption and photoionization channels. The present dataset should be helpful in studying inertial confinement fusion, plasma physics and astrophysics. All the data presented in this paper are openly available at https://doi.org/10.57760/sciencedb.22232.
Electrical and thermal conductivity of Mg and typical Mg-Al alloys at high temperature and pressure
CHEN Hao, XU Yuanji, XIAN Jiawei, GAO Xingyu, TIAN Fuyang, SONG Haifeng
2025, 74 (12): 127102. doi: 10.7498/aps.74.20250352
Abstract +
Metallic materials are widely used in the industrial field due to their excellent electrical transport properties and superior thermal dissipation performance. However, experimental measurements of electrical and thermal conductivity under high-temperature and high-pressure conditions are challenging and costly. This makes numerical simulation an efficient alternative solution. In this study, we develop a computational software named TREX (TRansport at EXtremes). It is based on the Kubo-Greenwood (KG) formula combined with first-principles molecular dynamics. This software is used to calculate electrical conductivity and electronic thermal conductivity. Using magnesium and magnesium-aluminum alloy AZ31B as research subjects, we systematically investigate their electrical and thermal transport properties. The temperature and pressure are in a range of 300−1200 K and 0−50 GPa, respectively. The method involves using first-principles molecular dynamics simulations to obtain equilibrium configurations of high-temperature disordered structures. Electrical conductivity and electronic thermal conductivity are calculated using the KG formula. Lattice thermal conductivity is determined by the Slack equation. To validate the reliability of our approach, we perform comparative calculations by using the Boltzmann transport equation. The research results are cross-verified with experimental data from Sichuan University and the Aerospace Materials Test and Analysis Center. The findings demonstrate that the maximum relative error between computational and experimental results is within 20%. This confirms the accuracy of our method. Additionally, we elucidate the variation patterns of electrical and thermal conductivity in magnesium and AZ31B alloy with temperature and pressure. These patterns include the reduction in electrical conductivity due to aluminum doping, the significant enhancement of conductivity under high pressure, and the unique temperature-induced thermal conductivity enhancement in AZ31B alloy. The TREX program developed in this study and the established performance dataset provide essential tools and data support. They are useful for research on electrical and thermal transport mechanisms in metallic materials under extreme conditions, and also for engineering applications. All the data presented in this paper are openly available at https://www.doi.org/10.57760/sciencedb.j00213.00128.