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相关论文: Selective gas capture via kinetic trapping

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A novel system containing nanoporous materials and carbonate ions is proposed, which is capable to capture CO2 from ambient air simply by controlling the amount of water (humidity) in the system. The system absorbs CO2 from the air when the…

化学物理 · 物理学 2017-02-02 Xiaoyang Shi , Hang Xiao , Xi Chen , Klaus. S. Lackner

Carbon monoxide and nitrogen are among the potentially interesting high-energy density materials. However, in spite of the physical similarities of the molecules, they behave very differently at high pressures. Using density functional…

材料科学 · 物理学 2013-12-06 Zamaan Raza , Chris J. Pickard , Carlos Pinilla , A. Marco Saitta

If all humans vanished tomorrow, almost every metal structure would collapse within a century or less, the metal converting to an oxide. In applications ranging from the mature technology of nuts and bolts to high technology batteries,…

A race is held between ten species of organic gas molecules on a graphene substrate driven by thermal gradients via molecular dynamics. Fast conduction of the molecules is observed with selectivity for aromatic compounds. This selectivity…

介观与纳米尺度物理 · 物理学 2020-09-17 Zhao Wang

We investigate the graph-based convolutional neural network approach for predicting and ranking gas adsorption properties of crystalline Metal-Organic Framework (MOF) adsorbents for application in post-combustion capture of $\textrm{CO}_2$.…

The use of pressure to obtain new materials that can be recovered under ambient conditions is a central problem in high-pressure physics. Despite decades of research, this goal has only been achieved in the laboratory for a few notable…

材料科学 · 物理学 2025-08-19 Reetam Paul , Jonathan C. Crowhurst , Stanimir A. Bonev

Metal Organic Frameworks (MOFs) are promising materials to help mitigate the effects of global warming by selectively absorbing $\text{CO}_{2}$ for direct capture. Accurate quantum chemistry simulations are a useful tool to help select and…

Covalent organic frameworks (COFs) are promising adsorbents for gas adsorption and separation, while identifying the optimal structures among their vast design space requires efficient high-throughput screening. Conventional…

机器学习 · 计算机科学 2026-03-24 Zihan Li , Mingyang Wan , Mingyu Gao , Xishi Tai , Zhongshan Chen , Xiangke Wang , Feifan Zhang

Author suggests and analyzes new universal trapping method of comparatively slow-speed particles of a rarefied gas medium in the potential well induced by the nonhomogeneous electromagnetic field increasing with time (up to some moment).…

综合物理 · 物理学 2014-01-14 Azad Ch. Izmailov

Metal-organic frameworks (MOFs) are a class of crystalline materials with promising applications in many areas such as carbon capture and drug delivery. In this work, we introduce MOFFlow, the first deep generative model tailored for MOF…

生物大分子 · 定量生物学 2025-03-20 Nayoung Kim , Seongsu Kim , Minsu Kim , Jinkyoo Park , Sungsoo Ahn

Metal-organic frameworks (MOFs) have emerged as promising materials for carbon capture applications due to their high CO2 capacities and tunable properties. Amongst the many possible MOFs, metal-substituted compounds based on M-DOBDC and…

材料科学 · 物理学 2016-03-11 Hyun Seung Koh , Malay Kumar Rana , Jinhyung Hwang , Donald J. Siegel

Metal organic frameworks are nano porous adsorbents of relevance to gas separation and catalysis, and O2 separation from air is essential to diverse industrial applications. A metal organic framework Fe2(DOBDC), also known as a MOF74, can…

材料科学 · 物理学 2015-06-17 Sergey N. Maximoff , Berend Smit

We present a theoretical and numerical scheme that enables quantifying hydrogen ingress in metals for arbitrary environments and defect geometries. This is achieved by explicitly resolving the electrochemical behaviour of the electrolyte,…

化学物理 · 物理学 2022-09-20 T. Hageman , E. Martínez-Pañeda

Metal-organic frameworks (MOFs) are of immense interest in applications such as gas storage and carbon capture due to their exceptional porosity and tunable chemistry. Their modular nature has enabled the use of template-based methods to…

化学物理 · 物理学 2023-10-19 Xiang Fu , Tian Xie , Andrew S. Rosen , Tommi Jaakkola , Jake Smith

Recent machine learning models to accurately obtain gas adsorption isotherms focus on polymers or metal-organic frameworks (MOFs) separately. The difficulty in creating a unified model that can predict the adsorption trends in both types of…

软凝聚态物质 · 物理学 2024-07-01 Subhadeep Dasgupta , Amal R S , Prabal K. Maiti

Kinetic traps are a notorious problem in equilibrium statistical mechanics, where temperature quenches ultimately fail to bring the system to low energy configurations. Using multifarious self-assembly as a model system, we introduce a…

统计力学 · 物理学 2024-07-15 Saeed Osat , Jakob Metson , Mehran Kardar , Ramin Golestanian

The physical mechanism of CO2 trapping in porous media by capillary trapping (pore scale) incorporates a number of related processes, i.e. residual trapping, trapping due to hysteresis of the relative permeability, and trapping due to…

地球物理 · 物理学 2016-02-17 Naum I. Gershenzon , Mohamad Reza Soltanian , Robert W. Ritzi , David F. Dominic

One of the aspects currently holding back commercial scale deployment of carbon capture and storage (CCS) is an accurate understanding of the thermodynamic behaviour of carbon dioxide and relevant impurities during the pipeline transport…

化学物理 · 物理学 2015-07-07 Thomas A. Demetriades , Richard S. Graham

The effect of humidity on the cooperative adsorption of CO2 from air on amine appended metal organic frameworks is studied both experimentally and theoretically. Breakthrough experiments show that at low relative humidities there is an…

软凝聚态物质 · 物理学 2024-07-25 Bennett Marshall , Pavel Kortunov , Aaron Peters , Hilda Vroman

Chemical looping methane partial oxidation provides an energy and cost effective route for methane utilization. However, there is considerable CO2 co-production in state-of-the-art chemical looping systems, rendering a decreased…

化学物理 · 物理学 2020-01-08 Yan Liu , Lang Qin , Zhuo Cheng , Josh W. Goetze , Fanhe Kong , Jonathan A. Fan , Liang-shih Fan