Pyrite is the most widely distributed sulfide mineral with a wide range of uses, and pyrite is mainly recovered by means of flotation in practical production, and the commonly used flotation collectors are mainly xanthates with good flotation performance. The adsorption behavior of commonly used collectors ethyl xanthate and butyl xanthate on the surface of pyrite is investigated by using the density functional tight bounding theory (DFTB). The results show that when a single reagent acts on the pyrite surface, butyl xanthate has a stronger effect than ethyl xanthate, and the adsorbed mineral surface shows obvious hydrophobicity. The interaction between ethyl xanthate and butyl xanthate had a stronger effect than that of a single reagent, and the simulation of the flotation environment at ordinary temperature using molecular dynamics revealed that the synergistic adsorption of the two different reagents on the surface of pyrite was more hydrophobic, that is, the synergistic adsorption of the combined collector of ethyl xanthate and butyl xanthate on the surface of pyrite was stronger. The results of the study are of great significance for the synergistic effect between the combined collector and the mineral.
{"title":"Synergistic adsorption of ethyl xanthate and butyl xanthate on pyrite surfaces: A DFT study","authors":"Xinglong Feng, Sheng Jian, Huimin Chen, Jianhua Chen","doi":"10.1002/qua.27448","DOIUrl":"10.1002/qua.27448","url":null,"abstract":"<p>Pyrite is the most widely distributed sulfide mineral with a wide range of uses, and pyrite is mainly recovered by means of flotation in practical production, and the commonly used flotation collectors are mainly xanthates with good flotation performance. The adsorption behavior of commonly used collectors ethyl xanthate and butyl xanthate on the surface of pyrite is investigated by using the density functional tight bounding theory (DFTB). The results show that when a single reagent acts on the pyrite surface, butyl xanthate has a stronger effect than ethyl xanthate, and the adsorbed mineral surface shows obvious hydrophobicity. The interaction between ethyl xanthate and butyl xanthate had a stronger effect than that of a single reagent, and the simulation of the flotation environment at ordinary temperature using molecular dynamics revealed that the synergistic adsorption of the two different reagents on the surface of pyrite was more hydrophobic, that is, the synergistic adsorption of the combined collector of ethyl xanthate and butyl xanthate on the surface of pyrite was stronger. The results of the study are of great significance for the synergistic effect between the combined collector and the mineral.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 15","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, the first-principles method is used to calculate the electronic structure of the intrinsic WSe2 system and the Ca adsorbed WSe2 system under shear deformation, and the diffusion barrier of Ca on WSe2 is studied in depth. The results show that shear deformation can effectively reduce the band gap of WSe2 system, and shear deformation can easily lead to the transition from semiconductor properties to metal properties. The adsorption of Ca leads to the change of the band structure of WSe2. The contribution of Ca-d electrons leads to an increase in the peak in the range of 3–6 eV. The shear deformation reduces the diffusion barrier of Ca on the WSe2 surface. This paper provides an improvement method for the application of WSe2 in the field of battery.
本文采用第一性原理方法计算了剪切形变下本征 WSe2 体系和 Ca 吸附 WSe2 体系的电子结构,并深入研究了 Ca 在 WSe2 上的扩散势垒。结果表明,剪切形变能有效降低 WSe2 体系的带隙,剪切形变容易导致半导体性质向金属性质转变。Ca 的吸附导致了 WSe2 带状结构的改变。Ca-d 电子的贡献导致 3-6 eV 范围内的峰值增加。剪切变形降低了 Ca 在 WSe2 表面的扩散障碍。本文为 WSe2 在电池领域的应用提供了一种改进方法。
{"title":"Theoretical study on the effect of shear deformation on WSe2 as a cathode material for calcium ion batteries","authors":"Kuiyuan Chen, Yanyan Feng","doi":"10.1002/qua.27457","DOIUrl":"10.1002/qua.27457","url":null,"abstract":"<p>In this paper, the first-principles method is used to calculate the electronic structure of the intrinsic WSe<sub>2</sub> system and the Ca adsorbed WSe<sub>2</sub> system under shear deformation, and the diffusion barrier of Ca on WSe<sub>2</sub> is studied in depth. The results show that shear deformation can effectively reduce the band gap of WSe<sub>2</sub> system, and shear deformation can easily lead to the transition from semiconductor properties to metal properties. The adsorption of Ca leads to the change of the band structure of WSe<sub>2</sub>. The contribution of Ca-d electrons leads to an increase in the peak in the range of 3–6 eV. The shear deformation reduces the diffusion barrier of Ca on the WSe<sub>2</sub> surface. This paper provides an improvement method for the application of WSe<sub>2</sub> in the field of battery.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 15","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ionic liquids (ILs) are considered unique and attractive types of solvents with great potential to capture carbon dioxide (CO2) and reduce its emissions into the atmosphere. On the other hand, carrying out experimental measurements of CO2 solubility for each new IL is time-consuming and expensive. Whereas, the possible combinations of cations and anions are numerous. Therefore, the preparation and design of such processes requires simple and accurate models to predict the solubility of CO2 as a greenhouse gas. In the present study, two different models, namely: artificial neural network (ANN) and support vector machine optimized with dragonfly algorithm (DA-SVM) were used in order to establish a quantitative structure–property relationship (QSPR) between the molecular structures of cations and anions and the CO2 solubility. More than 10 116 CO2 solubility data measured in various ionic liquids (ILs) at different temperatures and pressures were collected. 13 significant PaDEL descriptors (E2M, MATS8S, TDB6I, TDB1S, ATSC4V, MATS8M, ATSC7V, Gats2S, Gats5S, Gats5C, ATSC6V, DE, and Lobmax), temperature and pressure were considered as the model input data. For the test set data (2023 data point), the estimated mean absolute error (MAE) and R2 for the ANN model are of 0.0195 and 0.9828 and 0.0219 and 0.9745 for the DA-SVM model. The results obtained showed that both models can reliably predict the solubility of CO2 in ILs with a slight superiority of the ANN model. Examination of sensitivity and outlier diagnosis examinations confirmed that the QSPR model optimized using the ANN algorithm is better suited to correlate and predict this property.
离子液体(IL)被认为是独特而有吸引力的溶剂类型,在捕获二氧化碳(CO2)和减少其向大气排放方面具有巨大潜力。另一方面,对每种新的离子液体进行二氧化碳溶解度实验测量既耗时又昂贵。而阳离子和阴离子的可能组合又非常多。因此,此类工艺的制备和设计需要简单而准确的模型来预测作为温室气体的二氧化碳的溶解度。本研究采用了两种不同的模型,即人工神经网络(ANN)和用蜻蜓算法优化的支持向量机(DA-SVM),以建立阳离子和阴离子分子结构与二氧化碳溶解度之间的定量结构-性能关系(QSPR)。收集了 10 116 个不同温度和压力下在各种离子液体(IL)中测量的二氧化碳溶解度数据。13 个重要的 PaDEL 描述子(E2M、MATS8S、TDB6I、TDB1S、ATSC4V、MATS8M、ATSC7V、Gats2S、Gats5S、Gats5C、ATSC6V、DE 和 Lobmax)、温度和压力被视为模型输入数据。对于测试集数据(2023 个数据点),ANN 模型的估计平均绝对误差(MAE)和 R2 分别为 0.0195 和 0.9828,DA-SVM 模型的估计平均绝对误差(MAE)和 R2 分别为 0.0219 和 0.9745。结果表明,两种模型都能可靠地预测二氧化碳在 IL 中的溶解度,而 ANN 模型略胜一筹。灵敏度和离群值诊断检查证实,使用 ANN 算法优化的 QSPR 模型更适合关联和预测这一特性。
{"title":"Quantitative structure-property relationship techniques for predicting carbon dioxide solubility in ionic liquids using machine learning methods","authors":"Widad Benmouloud, Imane Euldji, Cherif Si-Moussa, Othmane Benkortbi","doi":"10.1002/qua.27450","DOIUrl":"10.1002/qua.27450","url":null,"abstract":"<p>Ionic liquids (ILs) are considered unique and attractive types of solvents with great potential to capture carbon dioxide (CO<sub>2</sub>) and reduce its emissions into the atmosphere. On the other hand, carrying out experimental measurements of CO<sub>2</sub> solubility for each new IL is time-consuming and expensive. Whereas, the possible combinations of cations and anions are numerous. Therefore, the preparation and design of such processes requires simple and accurate models to predict the solubility of CO<sub>2</sub> as a greenhouse gas. In the present study, two different models, namely: artificial neural network (ANN) and support vector machine optimized with dragonfly algorithm (DA-SVM) were used in order to establish a quantitative structure–property relationship (QSPR) between the molecular structures of cations and anions and the CO<sub>2</sub> solubility. More than 10 116 CO<sub>2</sub> solubility data measured in various ionic liquids (ILs) at different temperatures and pressures were collected. 13 significant PaDEL descriptors (E2M, MATS8S, TDB6I, TDB1S, ATSC4V, MATS8M, ATSC7V, Gats2S, Gats5S, Gats5C, ATSC6V, DE, and Lobmax), temperature and pressure were considered as the model input data. For the test set data (2023 data point), the estimated mean absolute error (MAE) and <i>R</i><sup>2</sup> for the ANN model are of 0.0195 and 0.9828 and 0.0219 and 0.9745 for the DA-SVM model. The results obtained showed that both models can reliably predict the solubility of CO<sub>2</sub> in ILs with a slight superiority of the ANN model. Examination of sensitivity and outlier diagnosis examinations confirmed that the QSPR model optimized using the ANN algorithm is better suited to correlate and predict this property.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 15","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As one of the most potent greenhouse gases, SF6 has a significant economic and environmental impact on the purification and recovery of exhaust gases from the semiconductor industry. The adsorption and separation performance of SF6 on a two-dimensional covalent organic framework TAT-COFs-1-AB with different functional groups (SO3H, Et, NH2, OMe, OH, H) was investigated by using grand canonical Monte Carlo (GCMC) simulations and density functional theory (DFT) calculations. The results show that the adsorption at low pressure depends on the interactions between the SF6 and COF frameworks, while at high pressure it is mainly affected by the porosity. The highest adsorption capacity of 8.44 mmol/g (298 K, 100 kPa) is exhibited by TAT-COF-1-AB-H, which has the highest porosity. Chemical functionalization was found to be effective in enhancing the SF6/N2 selectivity. Among all the functionalized COFs, TAT-COF-1-AB-NH2, with the highest specific surface area and strong heat of adsorption, showed the highest selectivity. The simulation of self-diffusion also shows consistent results with the GCMC simulation. The findings highlight that the adsorption capacity is influenced by substituent and porosity, with SF6 showing a consistent preference for adsorption at hollow sites, as evidenced by binding energy and charge transfer analyses.
{"title":"Two-dimensional ammonia-linked COF structures with different substituents for the adsorption and separation of sulfur hexafluoride: A theoretical study","authors":"Kun Shen, Junjie Ning, Rui Zhao, Kunqi Gao, Xiangyu Yin, Linxi Hou","doi":"10.1002/qua.27453","DOIUrl":"10.1002/qua.27453","url":null,"abstract":"<p>As one of the most potent greenhouse gases, SF<sub>6</sub> has a significant economic and environmental impact on the purification and recovery of exhaust gases from the semiconductor industry. The adsorption and separation performance of SF<sub>6</sub> on a two-dimensional covalent organic framework TAT-COFs-1-AB with different functional groups (<span></span>SO<sub>3</sub>H, <span></span>Et, <span></span>NH<sub>2</sub>, <span></span>OMe, <span></span>OH, <span></span>H) was investigated by using grand canonical Monte Carlo (GCMC) simulations and density functional theory (DFT) calculations. The results show that the adsorption at low pressure depends on the interactions between the SF<sub>6</sub> and COF frameworks, while at high pressure it is mainly affected by the porosity. The highest adsorption capacity of 8.44 mmol/g (298 K, 100 kPa) is exhibited by TAT-COF-1-AB-H, which has the highest porosity. Chemical functionalization was found to be effective in enhancing the SF<sub>6</sub>/N<sub>2</sub> selectivity. Among all the functionalized COFs, TAT-COF-1-AB-NH<sub>2</sub>, with the highest specific surface area and strong heat of adsorption, showed the highest selectivity. The simulation of self-diffusion also shows consistent results with the GCMC simulation. The findings highlight that the adsorption capacity is influenced by substituent and porosity, with SF<sub>6</sub> showing a consistent preference for adsorption at hollow sites, as evidenced by binding energy and charge transfer analyses.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 15","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An intriguing question in the general problem of aromaticity is whether captodative aromatic systems with the donor and acceptor substituents at the same carbon of the CC bond can be more stable than the π-conjugated push-pull counterparts? The analysis of electronic, magnetic, and structural criteria of aromaticity showed that for conventional organic substituents XO, TfN, (NC)2C, (NO2)2C, Tf2C, the push-pull tropylidene derivatives [tropylium]+CHCHX− are expectedly more stable than their captodative isomers [tropylium]+C(X−)CH2, with the lowest ΔE for the most strong acceptor Tf2C. A different behavior is observed for XMHlg3 (MB, Al; HlgF, Cl). They are not only structurally and magnetically most aromatic in both series but show the inverse stability of the push-pull and captodative isomers, the latter being more stable by up to 10 kcal/mol (in gas).The difference between the MHlg3 groups and conventional organic groups is that in the latter the electron density is transferred to the π-system of the substituent, while the former can accept it only to the σ*(CM) orbital. Thus, when the electron donor and acceptor effects are separated between the σ and π systems, captodative isomers can be more stable than their push-pull isomers with more extended conjugation.
{"title":"Aromaticity of tropylium derivatives: When and why might captodative structures be preferred over the isomeric push-pull structures?","authors":"Bagrat A. Shainyan","doi":"10.1002/qua.27449","DOIUrl":"10.1002/qua.27449","url":null,"abstract":"<p>An intriguing question in the general problem of aromaticity is whether captodative aromatic systems with the donor and acceptor substituents at the same carbon of the CC bond can be more stable than the π-conjugated push-pull counterparts? The analysis of electronic, magnetic, and structural criteria of aromaticity showed that for conventional organic substituents XO, TfN, (NC)<sub>2</sub>C, (NO<sub>2</sub>)<sub>2</sub>C, Tf<sub>2</sub>C, the push-pull tropylidene derivatives [tropylium]<sup>+</sup><span></span>CHCH<span></span>X<sup>−</sup> are expectedly more stable than their captodative isomers [tropylium]<sup>+</sup>C(X<sup>−</sup>)CH<sub>2</sub>, with the lowest Δ<i>E</i> for the most strong acceptor Tf<sub>2</sub>C. A different behavior is observed for XMHlg<sub>3</sub> (MB, Al; HlgF, Cl). They are not only structurally and magnetically most aromatic in both series but show the inverse stability of the push-pull and captodative isomers, the latter being more stable by up to 10 kcal/mol (in gas).The difference between the MHlg<sub>3</sub> groups and conventional organic groups is that in the latter the electron density is transferred to the π-system of the substituent, while the former can accept it only to the σ*(C<span></span>M) orbital. Thus, when the electron donor and acceptor effects are separated between the σ and π systems, captodative isomers can be more stable than their push-pull isomers with more extended conjugation.</p>","PeriodicalId":182,"journal":{"name":"International Journal of Quantum Chemistry","volume":"124 15","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The cover image is based on the Research Article Asymmetric electronic deformation in graphene molecular capacitors by S. Salehfar et al., https://doi.org/10.1002/qua.27426.
[Correction added on 25 July 2024, after first online publication: Cover has been replaced.]