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A Hydrogen-Bonded, Hexagonally Networked, Layered Framework with Large Aperture Designed by Structural Synchronization of a Macrocycle and Supramolecular Synthon 通过大循环和超分子合成物的结构同步设计出具有大孔径的氢键六边形网络化层状框架
Pub Date : 2024-04-12 DOI: 10.1021/prechem.4c00019
Hiroki Yoshimura, Ryusei Oketani, Miki Naruoka, Norimitsu Tohnai and Ichiro Hisaki*, 

To develop porous organic frameworks, precise control of the stacking manner of two-dimensional porous motifs and structural characterization of the resultant framework are important. From these points of view, porous molecular crystals formed through reversible intermolecular hydrogen bonds, such as hydrogen-bonded organic frameworks (HOFs), can provide deep insight because of their high crystallinity, affording single-crystalline X-ray diffraction analysis. In this study, we demonstrate that the stacking manner of hydrogen-bonded hexagonal network (HexNet) sheets can be controlled by synchronizing a homological triangular macrocyclic tecton and a hydrogen-bonded cyclic supramolecular synthon called the phenylene triangle. A structure of the resultant HOF was crystallographically characterized and revealed to have a large channel aperture of 2.4 nm. The HOF also shows thermal stability up to 290 °C, which is higher than that of the conventional HexNet frameworks.

要开发多孔有机框架,必须精确控制二维多孔图案的堆叠方式,并对所形成的框架进行结构表征。从这些角度来看,通过分子间可逆氢键形成的多孔分子晶体,如氢键有机框架(HOFs),由于其结晶度高,可进行单晶 X 射线衍射分析,因此可以提供深入的见解。在这项研究中,我们证明了氢键六边形网络(HexNet)薄片的堆积方式可以通过同步同源三角形大环构造体和氢键环状超分子合成体(称为亚苯基三角形)来控制。对由此产生的 HOF 结构进行了晶体学表征,发现它具有 2.4 纳米的大通道孔径。HOF 还具有高达 290 °C 的热稳定性,高于传统的 HexNet 框架。
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引用次数: 0
Celebrating One Year of Precision Chemistry 庆祝精密化学诞生一周年
Pub Date : 2024-04-10 DOI: 10.1021/prechem.4c00033
Juanjuan Jia*,  and , Jinlong Yang*, 
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引用次数: 0
Controlled Synthesis of Graphdiyne-Based Multiscale Catalysts for Energy Conversion 可控合成基于石墨二炔的多尺度能源转换催化剂
Pub Date : 2024-04-09 DOI: 10.1021/prechem.3c00125
Siao Chen, Xuchen Zheng, Yang Gao, Xinyu Ping, Yurui Xue, Yuliang Li
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引用次数: 0
Controlled Synthesis of Graphdiyne-Based Multiscale Catalysts for Energy Conversion 可控合成基于石墨二炔的多尺度能源转换催化剂
Pub Date : 2024-04-09 DOI: 10.1021/prechem.3c0012510.1021/prechem.3c00125
Siao Chen, Xuchen Zheng, Yang Gao, Xinyu Ping, Yurui Xue* and Yuliang Li*, 

Graphdiyne (GDY) science is a new and rapidly developing interdisciplinary field that touches on various areas of chemistry, physics, information science, material science, life science, environmental science, and so on. The rapid development of GDY science is part of the trend in development of carbon materials. GDY, with its unique structure and fascinating properties, has greatly promoted fundamental research toward practical applications of carbon materials. Many important applications, such as catalysis and energy conversion, have been reported. In particular, GDY has shown great potential for application in the field of catalysis. Scientists have precisely synthesized a series of GDY-based multiscale catalysts and applied them in various energy conversion and catalysis research, including ammonia synthesis, hydrogen production, CO2 conversion, and chemical-to-electrical energy conversion. In this paper, we systematically review the advances in the precisely controlled synthesis of GDY and aggregated structures, and the latest progress with GDY in catalysis and energy conversion.

Graphdiyne(GDY)科学是一门新兴且发展迅速的交叉学科,涉及化学、物理学、信息科学、材料科学、生命科学、环境科学等多个领域。GDY 科学的快速发展是碳材料发展趋势的一部分。GDY 以其独特的结构和迷人的性能,极大地推动了碳材料的基础研究向实际应用发展。许多重要的应用,如催化和能源转换,都有报道。特别是,GDY 在催化领域显示出巨大的应用潜力。科学家们已经精确合成了一系列基于 GDY 的多尺度催化剂,并将其应用于各种能源转化和催化研究中,包括合成氨、制氢、二氧化碳转化和化学-电能转化。本文系统地综述了 GDY 和聚集结构的精确控制合成进展,以及 GDY 在催化和能源转化方面的最新进展。
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引用次数: 0
Group Contribution Method Supervised Neural Network for Precise Design of Organic Nonlinear Optical Materials 组贡献法监督神经网络用于有机非线性光学材料的精确设计
Pub Date : 2024-04-08 DOI: 10.1021/prechem.4c00015
Jinming Fan, Bowei Yuan, Chao Qian and Shaodong Zhou*, 

To rationalize the design of D-π-A type organic small-molecule nonlinear optical materials, a theory guided machine learning framework is constructed. Such an approach is based on the recognition that the optical property of the molecule is predictable upon accumulating the contribution of each component, which is in line with the concept of group contribution method in thermodynamics. To realize this, a Lewis-mode group contribution method (LGC) has been developed in this work, which is combined with the multistage Bayesian neural network and the evolutionary algorithm to constitute an interactive framework (LGC-msBNN-EA). Thus, different optical properties of molecules are afforded accurately and efficiently─by using only a small data set for training. Moreover, by employing the EA model designed specifically for LGC, structural search is well achievable. The origins of the satisfying performance of the framework are discussed in detail. Considering that such a framework combines chemical principles and data-driven tools, most likely, it will be proven to be rational and efficient to complete mission regarding structure design in related fields.

为了合理设计 D-π-A 型有机小分子非线性光学材料,我们构建了一个理论指导下的机器学习框架。这种方法基于这样一种认识,即分子的光学性质可通过累积各组分的贡献来预测,这与热力学中的基团贡献法概念是一致的。为此,本研究开发了一种路易斯模式基团贡献法(LGC),并将其与多级贝叶斯神经网络和进化算法相结合,构成了一个交互式框架(LGC-msBNN-EA)。因此,只需使用少量数据集进行训练,就能准确、高效地获得分子的不同光学特性。此外,通过采用专为 LGC 设计的 EA 模型,还能很好地实现结构搜索。本文详细讨论了该框架取得令人满意的性能的原因。考虑到这一框架结合了化学原理和数据驱动工具,它很有可能被证明在完成相关领域的结构设计任务时是合理而高效的。
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引用次数: 0
Growth of Noncentrosymmetric Two-Dimensional Single Crystals 非五次对称二维单晶的生长
Pub Date : 2024-04-05 DOI: 10.1021/prechem.3c0012210.1021/prechem.3c00122
Guoliang Cui, Jiajie Qi, Zhihua Liang, Fankai Zeng, Xiaowen Zhang, Xiaozhi Xu* and Kaihui Liu*, 

Among the various two-dimensional (2D) materials, more than 99% of them are noncentrosymmetric. However, since the commonly used substrates are generally centrosymmetric, antiparallel islands are usually inevitable in the growth of noncentrosymmetric 2D materials because of the energetic equivalency of these two kinds of antiparallel islands on centrosymmetric substrates. Therefore, achieving the growth of noncentrosymmetric 2D single crystals has long been a great challenge compared with the centrosymmetric ones like graphene. In this review, we presented the remarkable efforts and progress in the past decade, through precise chemical processes. We first discussed the great challenge and possible strategies in the growth of noncentrosymmetric 2D single crystals. Then, we focused on the advancements made in producing representative noncentrosymmetric 2D single crystals, including hexagonal boron nitride (hBN), transition metal dichalcogenides (TMDs), and other noncentrosymmetric 2D materials. At last, we summarized and looked forward to future research on the growth of layer-, stacking-, and twist-controlled noncentrosymmetric 2D single crystals and their heterostructures.

在各种二维(2D)材料中,99% 以上都是非中心对称的。然而,由于常用的基底一般都是中心对称的,因此在非中心对称二维材料的生长过程中,通常不可避免地会出现反平行岛,这是因为在中心对称基底上,这两种反平行岛的能量是相等的。因此,与石墨烯等中心对称二维单晶相比,实现非中心对称二维单晶的生长一直是一个巨大的挑战。在这篇综述中,我们介绍了过去十年中通过精确化学过程所做的杰出努力和取得的进展。我们首先讨论了非中心对称二维单晶生长的巨大挑战和可能的策略。然后,我们重点介绍了在制备代表性非中心对称二维单晶体方面取得的进展,包括六方氮化硼(hBN)、过渡金属二卤化物(TMDs)和其他非中心对称二维材料。最后,我们对层控、堆叠控和扭曲控非中心对称二维单晶及其异质结构的生长进行了总结,并展望了未来的研究方向。
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引用次数: 0
Growth of Noncentrosymmetric Two-Dimensional Single Crystals 非五次对称二维单晶的生长
Pub Date : 2024-04-05 DOI: 10.1021/prechem.3c00122
Guoliang Cui, Jiajie Qi, Zhihua Liang, Fankai Zeng, Xiaowen Zhang, Xiaozhi Xu, Kaihui Liu
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引用次数: 0
Bulking Up the Bay-Position Substituents Enables Enhanced Selectivity of Cs-Symmetric Boron Subphthalocyanine–Subnaphthalocyanine Hybrids 增大湾位取代基可提高 Cs 对称硼亚酞菁-亚萘酞菁杂化物的选择性
Pub Date : 2024-04-04 DOI: 10.1021/prechem.4c00012
Nina F. Farac, Alan J. Lough and Timothy P. Bender*, 

The precise synthesis of subporphyrinoid hybrids with π-expanded topologies and unique material properties plays a promising role in the design of functional macrocycles. Easy, selective, and controllable routes to boron subphthalocyanine–subnaphthalocyanine hybrids, Bsub(Pc3-p-Ncp)s, are desirable for this purpose yet synthetically challenging due to random mixtures of Cs-, C3v-, and, in some cases, C1-symmetric compounds that form during traditional statistical mixed cyclotrimerizations. Herein, we addressed this issue by developing a sterically driven mixed cyclotrimerization with enhanced selectivity for the targeted Cs-symmetric hybrid and complete suppression of sterically crowded macrocyclic byproducts. This process, coupled with a rationally designed precursor bearing bulky phenyl substituents, enabled the synthesis and characterization of bay-position phenylated Ph2-(Rp)8Bsub(Pc2-Nc1) hybrids with halogens (Rp = Cl or F) in their peripheral isoindole rings. Reaction selectivity ranged between 59 and 72% with remarkable yields, significantly higher than that of conventional mixed cyclotrimerizations. These findings were augmented by theoretical calculations on precursor Lewis basicity as guiding principles into hybrid macrocycle formation. Additionally, the incorporation of unfused phenyl groups and halogen atoms into the hybrid framework resulted in fine-tuned optical, structural, electronic, and electrochemical properties. This straightforward approach achieved improved selectivity and controlled narrowing of the product distribution, affording the efficient synthesis of structurally sophisticated Bsub(Pc2-Nc1) hybrids. This then expands the library of 3-dimensional π-extended macrocycles for use in a range of applications, such as in optoelectronic devices with precisely tailored optical properties.

精确合成具有π扩展拓扑结构和独特材料特性的亚卟啉杂化物在设计功能性大环方面大有可为。为此,简便、选择性强且可控的亚硼酞菁-亚萘酞菁混合物(Bsub(Pc3-p-Ncp)s)合成路线是非常理想的,但由于在传统的统计混合环三聚过程中会形成 Cs-、C3v-以及(某些情况下)C1-对称化合物的随机混合物,因此合成具有挑战性。为了解决这个问题,我们开发了一种立体驱动混合环三聚化技术,该技术提高了对目标 Cs 对称杂化物的选择性,并完全抑制了立体拥挤的大环副产物。这一工艺与合理设计的带有笨重苯基取代基的前体相结合,合成并鉴定了在外周异吲哚环中含有卤素(Rp = Cl 或 F)的湾位苯基化 Ph2-(Rp)8Bsub(Pc2-Nc1)杂化物。反应选择性介于 59% 和 72% 之间,产率极高,明显高于传统的混合环化反应。通过对前体路易斯碱性的理论计算,这些发现得到了进一步证实,并成为混合大环形成的指导原则。此外,在杂化框架中加入未融合的苯基和卤素原子,可实现光学、结构、电子和电化学性能的微调。这种直接的方法提高了选择性,并可控地缩小了产物分布,从而高效合成了结构复杂的 Bsub(Pc2-Nc1)杂化物。这就扩展了三维 π 扩展大环化合物库,可用于一系列应用领域,如具有精确定制光学特性的光电器件。
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引用次数: 0
Kinetic Insights into Boron-Based Materials Catalyzed Oxidative Dehydrogenation of Light Alkanes 硼基材料催化轻烷氧化脱氢的动力学启示
Pub Date : 2024-04-01 DOI: 10.1021/prechem.4c00003
Hao Tian,  and , Bingjun Xu*, 

High selectivity toward alkenes in oxidative dehydrogenation (ODH) of light alkanes makes boron-based materials promising catalysts. However, many key mechanistic aspects are still debated due to the challenge of capturing fleeting reaction intermediates. Kinetic analysis, including determining reaction orders and activation energy, could be informative for reactions involving radical intermediates but has not been extensively exploited. This Review summarizes the current understanding of the apparent alkane reaction order and the apparent activation energy in the boron-catalyzed ODH. Despite varying compositions and structures, a majority of boron-based catalysts share many common features, including alkene selectivity, the evolution and the formation of active site, and the apparent kinetic properties. These common trends could be attributed to the shared gas-phase radical-mediated reaction pathways and the formation of active hydroxylated boron oxide species on boron-containing materials under ODH conditions. Values of apparent alkane reaction orders and apparent activation energies are sensitive and reliable experimental measures of the contributions of the gas-phase radical-mediated and surface-mediated pathways, suggesting the outline of a general mechanistic framework of the boron-catalyzed ODH.

在轻质烷烃的氧化脱氢(ODH)过程中,硼基材料对烯烃具有高选择性,因此是一种很有前途的催化剂。然而,由于难以捕捉稍纵即逝的反应中间体,许多关键的机理方面仍存在争议。动力学分析,包括确定反应顺序和活化能,可为涉及自由基中间体的反应提供信息,但尚未得到广泛利用。本综述总结了目前对硼催化 ODH 中表观烷烃反应顺序和表观活化能的理解。尽管硼基催化剂的组成和结构各不相同,但大多数硼基催化剂都具有许多共同特征,包括烯选择性、活性位点的演化和形成以及表观动力学特性。这些共同趋势可归因于共同的气相自由基介导的反应途径,以及在 ODH 条件下含硼材料上活性羟基氧化硼物种的形成。表观烷烃反应阶数和表观活化能的数值是衡量气相自由基介导和表面介导途径贡献的灵敏可靠的实验指标,表明硼催化 ODH 的一般机理框架已经勾勒出来。
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引用次数: 0
Liquid Phase Exfoliation of 2D Materials and Its Electrochemical Applications in the Data-Driven Future 二维材料的液相剥离及其在数据驱动未来的电化学应用
Pub Date : 2024-03-29 DOI: 10.1021/prechem.3c00119
Panwad Chavalekvirat, W. Hirunpinyopas, Krittapong Deshsorn, Kulpavee Jitapunkul, Pawin Iamprasertkun
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引用次数: 0
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Precision Chemistry
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