<p>Computational modeling of molecules and their reactions are now essential components of the scientific research in chemistry.</p><p>Density functional theory (DFT) is among the most prominent and effective quantum mechanical theories of molecules and materials. Presently, it is commonly employed in calculations of band configuration of solids and binding energies of substances. It appears that these are the initial applications that are pertinent to sciences like biology and minerals, which are typically regarded as being further removed from quantum mechanics. DFT has been used to examine superconducting properties, particles at the forefront of intense laser impulses, relativistic influences in heavy molecules and nuclei of atoms, conventional fluids, and the magnetic characteristics of composites. DFT's adaptability is due to the flexibility of its basic principles and the range of possibilities with which they can be used. Despite this adaptability and applicability, the logical foundation of DFT is relatively inflexible.<span><sup>1</sup></span></p><p>Through years of debating the many-body challenge, numerous effective strategies to address Schrödinger's equation have been created. For instance, the schematic perturbation concept, which relies on Feynman models and Green's functions, is utilized in physics, whereas configuration interaction (CI) approaches, which depend on methodical development in Slater determinants, are commonly employed in chemistry. There are also a variety of more specialized techniques. These approaches have a drawback in that they exert an enormous demand on computational resources, making it difficult to use them effectively on enormous and intricate systems. Here, DFT offers a strong substitute that may be less precise but is far more adaptable.<span><sup>2</sup></span> The 1998 award for the Nobel Prize in Chemistry, given to Walter Kohn,<span><sup>3</sup></span> the creator of DFT, and John Pople,<span><sup>4</sup></span> who played a key role in integrating DFT with computational chemistry, is indicative of the level to which DFT has made an impact on the scientific community of computational chemistry and physics. It has been utilized to determine a large portion of the information that is understood concerning the electronic, magnetic, and structural characteristics of substances.<span><sup>5, 6</sup></span></p><p>A computational achievement was subsequently made possible by involving orbital parameters in the framework, as was done in the Kohn–Sham paradigm<span><sup>7, 8</sup></span> and in the beginning of 1995, DFT through the Kohn–Sham approaches in Pople's GAUSSIAN software tool<span><sup>9</sup></span> become the favored wave function computing package at those times as well as currently. In the end of 1970s and beginning of 1980s, eminent scientist R. G. Parr has established another form of DFT known as “conceptual DFT.”<span><sup>10</sup></span> In accordance with the notion that the density of el
为了给科学界提供更多关于CDFT的关注和发展,本期特刊完全致力于CDFT参数,特别是化学反应性:成功与局限性。在这期特刊中,我们邀请了在这一领域工作的杰出和早期的研究人员。共收集了18篇关于CDFT参数的论文。Das11用CDFT方法检测了咪唑的稳定性、反应性和芳香性。作者发现,具有更强的吸电子性质的配体导致咪唑配合物进化成更酸性。Patra et al.12报道了Fischer和Schrock carbene物种的局部和全局亲电性指数。实验化学家可以通过这种方式检查反应性因子来预测过渡金属碳的催化用途,而不必将它们指定为Fischer和Schrock类型的催化。Chakraborty等人13提出了直接动力学,目的是为O(3P)和二甲胺(DMA)在三重态电子界面上的碰撞动力学过程提供原子性的见解。Kaya et al.14根据摩尔抗磁化率与范德华常数的相关性预测了物质的磁化率。Liu et al.15利用DFT方法研究了9种不同烷基大小的二聚体体系。Patra et al.16研究了简单双原子、三原子和四原子物质在电子激发下的亲电性变化。Jain等人17通过实验和DFT方法报道了噻唑基化合物及其铜(II)配合物的各种物理化学性质。Catinkaya等人18借助实验和DFT方法,研究了加入壳聚糖-硼酸混合物质去除雨水中的红蛋白B染料。Politzer等人19报道了一项成功的技术,将电负性与原子的中位价电子电离能联系起来,其结果与Pauling的值大致一致。Sharma等人20利用DFT和MP2方法研究了分子内h键萘醌化合物。Paul等21使用DFT方法研究了基于pc31bm的DSSC应用。Balasubramanian22利用DFT和图论方法报道了多孔纳米石墨烯。Roy等人23利用DFT方法检测了噻唑-噻二嗪类药物治疗阿尔茨海默病的生物活性。Mondal等人24报道了基于cdft的描述子- β- d -葡萄糖-银离子(1:1)络合物的硬度和亲电性。Saloni等人25报道了使用DFT方法用于光伏应用的无铅钙钛矿A2BCl6。Yabas等人26借助DFT和实验方法研究了MPc和MPc- go复合材料的光学和电子特性。Poon等人27对由脒基或咪唑基组成的离聚体进行了DFT计算。Solanki等人28利用CDFT方法研究了用于太阳能电池的A2BI6双钙钛矿体系。我们希望,这样一个问题将导致富有成效的思想交流,并使化学界的两个部分接触到新的和互利的概念和想法。我们也希望这个特刊能够提供一个论坛,让顶级专家分享他们的想法,并讨论可能的解决方案。
{"title":"Density functional theory for exploration of chemical reactivity: Successes and limitations","authors":"Tanmoy Chakraborty, Pratim K. Chattaraj","doi":"10.1002/poc.4589","DOIUrl":"https://doi.org/10.1002/poc.4589","url":null,"abstract":"<p>Computational modeling of molecules and their reactions are now essential components of the scientific research in chemistry.</p><p>Density functional theory (DFT) is among the most prominent and effective quantum mechanical theories of molecules and materials. Presently, it is commonly employed in calculations of band configuration of solids and binding energies of substances. It appears that these are the initial applications that are pertinent to sciences like biology and minerals, which are typically regarded as being further removed from quantum mechanics. DFT has been used to examine superconducting properties, particles at the forefront of intense laser impulses, relativistic influences in heavy molecules and nuclei of atoms, conventional fluids, and the magnetic characteristics of composites. DFT's adaptability is due to the flexibility of its basic principles and the range of possibilities with which they can be used. Despite this adaptability and applicability, the logical foundation of DFT is relatively inflexible.<span><sup>1</sup></span></p><p>Through years of debating the many-body challenge, numerous effective strategies to address Schrödinger's equation have been created. For instance, the schematic perturbation concept, which relies on Feynman models and Green's functions, is utilized in physics, whereas configuration interaction (CI) approaches, which depend on methodical development in Slater determinants, are commonly employed in chemistry. There are also a variety of more specialized techniques. These approaches have a drawback in that they exert an enormous demand on computational resources, making it difficult to use them effectively on enormous and intricate systems. Here, DFT offers a strong substitute that may be less precise but is far more adaptable.<span><sup>2</sup></span> The 1998 award for the Nobel Prize in Chemistry, given to Walter Kohn,<span><sup>3</sup></span> the creator of DFT, and John Pople,<span><sup>4</sup></span> who played a key role in integrating DFT with computational chemistry, is indicative of the level to which DFT has made an impact on the scientific community of computational chemistry and physics. It has been utilized to determine a large portion of the information that is understood concerning the electronic, magnetic, and structural characteristics of substances.<span><sup>5, 6</sup></span></p><p>A computational achievement was subsequently made possible by involving orbital parameters in the framework, as was done in the Kohn–Sham paradigm<span><sup>7, 8</sup></span> and in the beginning of 1995, DFT through the Kohn–Sham approaches in Pople's GAUSSIAN software tool<span><sup>9</sup></span> become the favored wave function computing package at those times as well as currently. In the end of 1970s and beginning of 1980s, eminent scientist R. G. Parr has established another form of DFT known as “conceptual DFT.”<span><sup>10</sup></span> In accordance with the notion that the density of el","PeriodicalId":16829,"journal":{"name":"Journal of Physical Organic Chemistry","volume":"36 12","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/poc.4589","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138468642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renato P. Orenha, Salvador B. Ramos, Maria L. L. Natal, Márcio H. A. Gomes, Alvaro Muñoz-Castro, Letícia M. P. Madureira, Giovanni F. Caramori, Maurício J. Piotrowski, Renato L. T. Parreira
The design of organic solar cells, OSCs, requests a more efficient configuration of photoactive layers composed of p-type (quinoxaline, Qx) and n-type (naphthalene diimide, NDI) semiconductors that enable light harvesting along with a high-power conversion efficiency. Here, Qx-(phenyl or Ph) and NDI structures have been modulated using both electron withdrawing (EWG) and electron donating (EDG) groups such as −F, −NHCOCH3, −OCH3, −OH, −CHO, −COOCH3, −COOH, −CN, −SO3H, and −NO2, aiming to design an effective photoactive p-n layer. The HOMO-LUMO gap of Qx-Ph can be tuned to the visible light spectrum by the addition of EWG in the Qx ring (decreasing the LUMO energy) and by EDG in the Ph ring (increasing the HOMO energy). The analyzed complexes show key electronic properties in organic solar cells with large power conversion efficiency. Descriptive data analysis suggests that the magnitude of the non-covalent interactions in donor