Density functional theory for nanomaterials: structural and spectroscopic applications—a review

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ansa Latif, Anam Latif, Muhammad Mohsin, Ijaz Ahmad Bhatti
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Abstract

Context

Nanoparticles (NPs) exhibit unique physical and chemical properties that defy classical mechanics, owing to their quantum nature. These properties are dictated by size, shape, and structure, rendering NPs indispensable across diverse applications, including catalysis, medical imaging, drug delivery, and energy research. Advanced computational tools have become indispensable in unraveling the intricacies of nanomaterial behavior, driving significant progress in theoretical and computational research. Among these tools, the density functional theory (DFT) has emerged as a powerful method for predicting material properties. In this review study, we delve into key aspects of DFT simulations applied to nanomaterials, including Optimal Geometries, Band Gap and Electronic Properties, Density of States (DOS), Natural Bond Orbitals (NBO), and spectroscopic features (Infrared, Raman Spectra, and UV–Visible Spectra). Despite its successes, DFT faces limitations, particularly concerning semiconductor materials. Researchers strive to enhance its accuracy while maintaining computational efficiency. Balancing generically accurate functionals for specific applications remains an ongoing challenge. As nanomaterial continues to play a significant part in a variety of industries, the progress of DFT is of great interest and exploration.

Methods

This review discusses DFT-based computational techniques employed for modeling nanomaterials. The calculations are generally done by utilizing generalized gradient approximation (GGA) functionals such as PBE (Perdew–Burke–Ernzerhof), and where necessary, hybrid functionals like B3LYP to enhance band gap accuracy. All calculations are performed using the standard quantum chemistry packages such as VASP, Gaussian, or Quantum ESPRESSO. This combination of methods offers a complete theoretical basis for the study of nanomaterial properties.

Graphical Abstract

纳米材料的密度泛函理论:结构与光谱应用综述。
背景:纳米粒子(NPs)由于其量子性质,表现出独特的物理和化学性质,这违背了经典力学。这些特性由大小、形状和结构决定,使得NPs在各种应用中不可或缺,包括催化、医学成像、药物输送和能源研究。先进的计算工具在揭示纳米材料行为的复杂性方面已经成为不可或缺的,推动了理论和计算研究的重大进展。在这些工具中,密度泛函理论(DFT)已成为预测材料性能的有力方法。在这篇综述研究中,我们深入研究了应用于纳米材料的DFT模拟的关键方面,包括最佳几何形状、带隙和电子特性、态密度(DOS)、自然键轨道(NBO)和光谱特征(红外、拉曼光谱和紫外可见光谱)。尽管取得了成功,但DFT仍面临局限性,特别是在半导体材料方面。研究人员努力在保持计算效率的同时提高其准确性。为特定的应用程序平衡一般精确的功能仍然是一个持续的挑战。随着纳米材料在各种行业中不断发挥重要作用,DFT的进展引起了人们的极大兴趣和探索。方法:本文综述了基于dft的纳米材料建模计算技术。计算通常通过使用广义梯度近似(GGA)泛函(如PBE (Perdew-Burke-Ernzerhof))来完成,必要时使用混合泛函(如B3LYP)来提高带隙精度。所有的计算都是使用标准的量子化学包,如VASP,高斯,或量子浓缩执行。这种方法的结合为纳米材料性质的研究提供了完整的理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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