• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

结合布里渊光散射光谱和机器学习原子间势来探测金属有机框架的力学性能。

Combining Brillouin Light Scattering Spectroscopy and Machine-Learned Interatomic Potentials to Probe Mechanical Properties of Metal-Organic Frameworks.

作者信息

Lindner Florian P, Strasser Nina, Schultze Martin, Wieser Sandro, Slugovc Christian, Elsayad Kareem, Koski Kristie J, Zojer Egbert, Czibula Caterina

机构信息

Institute of Solid State Physics, Graz University of Technology, Petersgasse 16, 8010 Graz, Austria.

Institute of Experimental Physics, Graz University of Technology, Petersgasse 16, 8010 Graz, Austria.

出版信息

J Phys Chem Lett. 2025 Feb 6;16(5):1213-1220. doi: 10.1021/acs.jpclett.4c03070. Epub 2025 Jan 25.

DOI:10.1021/acs.jpclett.4c03070
PMID:39862191
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11808784/
Abstract

The mechanical properties of metal-organic frameworks (MOFs) are of high fundamental and practical relevance. A particularly intriguing technique for determining anisotropic elastic tensors is Brillouin scattering, which so far has rarely been used for highly complex materials like MOFs. In the present contribution, we apply this technique to study a newly synthesized MOF-type material, referred to as GUT2. The experiments are combined with state-of-the-art simulations of elastic properties and phonon bands, which are based on machine-learning force fields and dispersion-corrected density functional theory. This provides a comprehensive understanding of the experimental signals, which can be correlated to the longitudinal and transverse sound velocities of the material. Notably, the combination of the insights from simulations and experiments allows the determination of approximate values for the components of the elastic tensor of the studied material even when dealing with comparably small single crystals, which limit the range of accessible experimental data.

摘要

金属有机框架材料(MOFs)的力学性能具有高度的基础和实际意义。一种特别引人关注的用于确定各向异性弹性张量的技术是布里渊散射,到目前为止,这种技术很少用于像MOFs这样高度复杂的材料。在本论文中,我们应用该技术研究一种新合成的MOF型材料,称为GUT2。实验与基于机器学习力场和色散校正密度泛函理论的弹性性质和声子能带的最新模拟相结合。这提供了对实验信号的全面理解,这些信号可以与材料的纵向和横向声速相关联。值得注意的是,模拟和实验的见解相结合,即使在处理相对较小的单晶时(这限制了可获取的实验数据范围),也能够确定所研究材料弹性张量分量的近似值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/050a9c860955/jz4c03070_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/b64dd00ad225/jz4c03070_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/4c655da41676/jz4c03070_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/0683e88bc4ba/jz4c03070_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/3a681dc0a2b9/jz4c03070_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/050a9c860955/jz4c03070_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/b64dd00ad225/jz4c03070_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/4c655da41676/jz4c03070_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/0683e88bc4ba/jz4c03070_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/3a681dc0a2b9/jz4c03070_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5da/11808784/050a9c860955/jz4c03070_0005.jpg

相似文献

1
Combining Brillouin Light Scattering Spectroscopy and Machine-Learned Interatomic Potentials to Probe Mechanical Properties of Metal-Organic Frameworks.结合布里渊光散射光谱和机器学习原子间势来探测金属有机框架的力学性能。
J Phys Chem Lett. 2025 Feb 6;16(5):1213-1220. doi: 10.1021/acs.jpclett.4c03070. Epub 2025 Jan 25.
2
Sub-Micrometer Phonon Mean Free Paths in Metal-Organic Frameworks Revealed by Machine Learning Molecular Dynamics Simulations.机器学习分子动力学模拟揭示金属有机框架中的亚微米声子平均自由程
ACS Appl Mater Interfaces. 2023 Aug 2;15(30):36412-36422. doi: 10.1021/acsami.3c07770. Epub 2023 Jul 23.
3
Predicting Spin-Dependent Phonon Band Structures of HKUST-1 Using Density Functional Theory and Machine-Learned Interatomic Potentials.使用密度泛函理论和机器学习原子间势预测HKUST-1的自旋相关声子能带结构
Int J Mol Sci. 2024 Mar 5;25(5):3023. doi: 10.3390/ijms25053023.
4
Uncovering the Relationship between Metal Elements and Mechanical Stability for Metal-Organic Frameworks.揭示金属有机框架中金属元素与机械稳定性之间的关系。
ACS Appl Mater Interfaces. 2024 Oct 2;16(39):52162-52178. doi: 10.1021/acsami.4c07775. Epub 2024 Sep 22.
5
Mechanical Properties of Microcrystalline Metal-Organic Frameworks (MOFs) Measured by Bimodal Amplitude Modulated-Frequency Modulated Atomic Force Microscopy.双模幅度调制-频率调制原子力显微镜测量的微纳金属有机框架(MOFs)的力学性能。
ACS Appl Mater Interfaces. 2017 Sep 20;9(37):32202-32210. doi: 10.1021/acsami.7b06809. Epub 2017 Sep 8.
6
Toward a Generalizable Machine-Learned Potential for Metal-Organic Frameworks.迈向可推广的金属有机框架机器学习势场
ACS Nano. 2025 Jan 14;19(1):933-949. doi: 10.1021/acsnano.4c12369. Epub 2024 Dec 31.
7
Quantitative Simulations of Siloxane Adsorption in Metal-Organic Frameworks.金属有机框架中硅氧烷吸附的定量模拟
ACS Appl Mater Interfaces. 2023 Aug 9;15(31):37828-37836. doi: 10.1021/acsami.3c07158. Epub 2023 Jul 26.
8
Biomechanics of fibrous proteins of the extracellular matrix studied by Brillouin scattering.通过布里渊散射研究细胞外基质纤维蛋白的生物力学
J R Soc Interface. 2014 Dec 6;11(101):20140739. doi: 10.1098/rsif.2014.0739.
9
Single-Crystal Structural Analysis of 2D Metal-Organic Frameworks and Covalent Organic Frameworks by Three-Dimensional Electron Diffraction.二维金属有机框架和共价有机框架的三维电子衍射单晶结构分析
Acc Chem Res. 2024 Sep 3;57(17):2522-2531. doi: 10.1021/acs.accounts.4c00335. Epub 2024 Aug 15.
10
Quantum Informed Machine-Learning Potentials for Molecular Dynamics Simulations of CO's Chemisorption and Diffusion in Mg-MOF-74.用于CO在Mg-MOF-74中化学吸附和扩散分子动力学模拟的量子信息机器学习势
ACS Nano. 2023 Mar 28;17(6):5579-5587. doi: 10.1021/acsnano.2c11102. Epub 2023 Mar 8.

引用本文的文献

1
Influence of pore-confined water on the thermal expansion of a zinc-based metal-organic framework.孔隙受限水对锌基金属有机框架热膨胀的影响。
J Mater Chem C Mater. 2025 Jul 16. doi: 10.1039/d5tc01746g.

本文引用的文献

1
Brillouin microscopy.布里渊显微镜术
Nat Rev Methods Primers. 2024;4. doi: 10.1038/s43586-023-00286-z. Epub 2024 Feb 1.
2
Predicting Spin-Dependent Phonon Band Structures of HKUST-1 Using Density Functional Theory and Machine-Learned Interatomic Potentials.使用密度泛函理论和机器学习原子间势预测HKUST-1的自旋相关声子能带结构
Int J Mol Sci. 2024 Mar 5;25(5):3023. doi: 10.3390/ijms25053023.
3
Investigating the mechanical stability of flexible metal-organic frameworks.研究柔性金属有机框架的机械稳定性。
Commun Chem. 2023 Sep 5;6(1):185. doi: 10.1038/s42004-023-00981-8.
4
Implementation strategies in phonopy and phono3py.声子谱和 phonopy3py 的实现策略。
J Phys Condens Matter. 2023 Jun 2;35(35). doi: 10.1088/1361-648X/acd831.
5
CRYSTAL23: A Program for Computational Solid State Physics and Chemistry.CRYSTAL23:一个用于计算固态物理和化学的程序。
J Chem Theory Comput. 2023 Oct 24;19(20):6891-6932. doi: 10.1021/acs.jctc.2c00958. Epub 2022 Dec 11.
6
100th Anniversary of Brillouin Scattering: Impact on Materials Science.布里渊散射100周年:对材料科学的影响。
Materials (Basel). 2022 May 13;15(10):3518. doi: 10.3390/ma15103518.
7
A scalable metal-organic framework as a durable physisorbent for carbon dioxide capture.一种可扩展的金属有机骨架作为一种用于二氧化碳捕获的耐用物理吸附剂。
Science. 2021 Dec 17;374(6574):1464-1469. doi: 10.1126/science.abi7281. Epub 2021 Dec 16.
8
Determination of the Complete Elasticity of Spider Silk.蜘蛛丝的完全弹性测定。
Biomacromolecules. 2020 Mar 9;21(3):1179-1185. doi: 10.1021/acs.biomac.9b01607. Epub 2020 Jan 29.
9
Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with Bayesian Inference.通过贝叶斯推理实时训练的机器学习力场模拟混合钙钛矿的相变
Phys Rev Lett. 2019 Jun 7;122(22):225701. doi: 10.1103/PhysRevLett.122.225701.
10
Tuning the Negative Thermal Expansion Behavior of the Metal-Organic Framework CuBTC by Retrofitting.通过改造调节金属有机框架CuBTC的负热膨胀行为
J Am Chem Soc. 2019 Jul 3;141(26):10504-10509. doi: 10.1021/jacs.9b04755. Epub 2019 Jun 21.