Is DFT enough? Towards accurate high-throughput computational screening of azobenzenes for molecular solar thermal applications†

IF 3.2 3区 工程技术 Q2 CHEMISTRY, PHYSICAL Molecular Systems Design & Engineering Pub Date : 2024-12-11 DOI:10.1039/D4ME00183D
Flavia Aleotti, Lorenzo Soprani, Lucas F. Rodríguez-Almeida, Francesco Calcagno, Fabio Loprete, Ivan Rivalta, Silvia Orlandi, Elisabetta Canè, Marco Garavelli, Irene Conti and Luca Muccioli
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Abstract

An efficient screening of azobenzene (AB) derivatives for Molecular Solar Thermal (MOST) applications based on ground state properties (energy stored per molecule and Z isomer stability) could be performed with quasi-CASPT2 accuracy. In this work, we show how wavefunction and electron density based methods can be efficiently combined in a computational protocol that yields accurate potential energy profiles with a significant reduction in computational cost compared to that of a fully-CASPT2 characterization. Our results on prototypical electron donor/withdrawing AB derivatives clearly identify pull–pull substitution as the most promising, allowing to draw guidelines for the chemical design of promising azo-MOST candidates.

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DFT足够了吗?用于分子太阳热应用的偶氮苯的精确高通量计算筛选
基于基态性质(每个分子储存的能量和Z异构体的稳定性),偶氮苯(AB)衍生物的分子太阳能热(MOST)应用的有效筛选可以以准caspt2精度进行。在这项工作中,我们展示了基于波函数和电子密度的方法如何有效地结合在一个计算协议中,与完全caspt2表征相比,该计算协议可以产生准确的势能分布,并显着降低计算成本。我们对原型电子供体/撤回AB衍生物的研究结果清楚地确定了拉-拉取代是最有希望的,从而为有希望的偶氮- most候选物的化学设计提供了指导。
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来源期刊
Molecular Systems Design & Engineering
Molecular Systems Design & Engineering Engineering-Biomedical Engineering
CiteScore
6.40
自引率
2.80%
发文量
144
期刊介绍: Molecular Systems Design & Engineering provides a hub for cutting-edge research into how understanding of molecular properties, behaviour and interactions can be used to design and assemble better materials, systems, and processes to achieve specific functions. These may have applications of technological significance and help address global challenges.
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Back cover Retraction: Heteroatoms chemical tailoring of aluminum nitrite nanotubes as biosensors for 5-hydroxyindole acetic acid (a biomarker for carcinoid tumors): insights from a computational study Back cover Process-based screening of porous materials for vacuum swing adsorption based on 1D classical density functional theory and PC-SAFT. Accelerating multicomponent phase-coexistence calculations with physics-informed neural networks†
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