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Identifying optimal synthesis conditions for metal-organic frameworks (MOFs) is a major challenge that can serve as a bottleneck for new materials discovery and development. Trial-and-error approach that relies on a chemist's intuition and…

材料科学 · 物理学 2021-09-01 Hyunsoo Park , Yeonghun Kang , Wonyoung Choe , Jihan Kim

The hydrogen adsorption sites in MOF5 were determined using neutron powder diffraction along with first-principles calculations. The metal-oxide cluster is primarily responsible for the adsorption while the organic linker plays only a…

材料科学 · 物理学 2009-11-11 T. Yildirim , M. R. Hartman

The extra CO2 that has already been released into the atmosphere has to be removed in order to create a world that is carbon neutral. Technologies have been created to remove carbon dioxide from wet flue gas or even directly from ambient…

Direct air capture of Carbon Dioxide is a technical solution that does not rely on natural processes to capture CO2 from the atmosphere. In DAC, the filter material is designed to specifically bind CO2 molecules. Hence a high-capacity…

量子物理 · 物理学 2023-11-22 Gopal Ramesh Dahale

Metal-organic frameworks (MOFs) are porous crystalline materials with broad applications such as carbon capture and drug delivery, yet accurately predicting their 3D structures remains a significant challenge. While Large Language Models…

机器学习 · 计算机科学 2026-01-15 Mianzhi Pan , JianFei Li , Peishuo Liu , Botian Wang , Yawen Ouyang , Yiming Rong , Hao Zhou , Jianbing Zhang

Metal-organic frameworks (MOFs) stand as one of the most promising materials for the development of advanced technologies owing to their unique combination of properties. The conventional synthesis of MOFs involves a direct reaction of the…

应用物理 · 物理学 2021-01-22 Mario Gutiérrez , Annika F. Möslein , Jin-Chong Tan

New methods for carbon dioxide removal are urgently needed to combat global climate change. Direct air capture (DAC) is an emerging technology to capture carbon dioxide directly from ambient air. Metal-organic frameworks (MOFs) have been…

The ability of metal-organic frameworks (MOFs) to gelate under specific synthetic conditions opens up new opportunities in the preparation and shaping of hierarchically porous MOF monoliths, which could be directly implemented for catalytic…

Outstanding functional tunability underpinning metal-organic framework (MOF) confers a versatile platform to contrive next-generation chemical sensors, optoelectronics, energy harvesters and converters. We report a rare exemplar of a porous…

材料科学 · 物理学 2019-08-27 Abhijeet K. Chaudhari , Ha Jin Kim , Intaek Han , Jin-Chong Tan

Although the tailored metal active sites and porous architectures of MOFs hold great promise for engineering challenges ranging from gas separations to catalysis, a lack of understanding of how to improve their stability limits their use in…

材料科学 · 物理学 2021-06-28 Aditya Nandy , Chenru Duan , Heather J. Kulik

The design of novel molecules with desired properties is a key challenge in drug discovery and materials science. Traditional methods rely on trial-and-error, while recent deep learning approaches have accelerated molecular generation.…

机器学习 · 计算机科学 2025-03-10 Md Atik Ahamed , Qiang Ye , Qiang Cheng

The storage of hydrogen gas (H$_2$) has presented a significant challenge that has hindered its use as a fuel source for transportation. To meet the Department of Energy's ambitious goals of achieving $50$ g L$^{-1}$ volumetric and $6.5$ wt…

化学物理 · 物理学 2023-06-21 Marcus Djokic , Jose L. Mendoza-Cortes

Diffusion models have emerged as powerful generative models, but their high computation cost in iterative sampling remains a significant bottleneck. In this work, we present an in-depth and insightful study of state-of-the-art acceleration…

计算机视觉与模式识别 · 计算机科学 2025-11-19 Weizhi Gao , Zhichao Hou , Junqi Yin , Feiyi Wang , Linyu Peng , Xiaorui Liu

Introducing hierarchical pore structure to microporous materials such as metal-organic frameworks (MOFs) can be beneficial for reactions where the rate of reaction is limited by low rates of diffusion or high pressure drop. This…

材料科学 · 物理学 2019-04-25 Huan V. Doan , Asel Sartbaeva , Jean-Charles Eloi , Sean Davis , Valeska P. Ting

Machine learning has demonstrated remarkable promise for solving the trajectory generation problem and in paving the way for online use of trajectory optimization for resource-constrained spacecraft. However, a key shortcoming in current…

机器人学 · 计算机科学 2025-01-03 Julia Briden , Breanna Johnson , Richard Linares , Abhishek Cauligi

Carbon mitigation is one challenging issue that the world is facing. To tackle deleterious impacts of CO2, processes emerged, including chemisorption from amine based solvents, and more recently physisorption in porous solids. While CO2…

材料科学 · 物理学 2023-07-19 Magnin Yann , Dirand Estelle , Maurin Guillaume , Llewellyn Philip

There is an increasing interest in the amorphous states of metal-organic frameworks (MOFs) and porous coordination polymers, which can be produced by pressure-induced amorphization, temperature-induced amorphization, melt-quenching,…

材料科学 · 物理学 2022-06-20 Nicolas Castel , François-Xavier Coudert

The enormous structural and chemical diversity of metal-organic frameworks (MOFs) forces researchers to actively use simulation techniques on an equal footing with experiments. MOFs are widely known for outstanding adsorption properties, so…

材料科学 · 物理学 2021-11-22 Vadim V. Korolev , Yurii M. Nevolin , Thomas A. Manz , Pavel V. Protsenko

We report a molecular-dynamics simulation of a single-component system of particles interacting via a spherically symmetric potential that is found to form, upon cooling from a liquid state, a low-density porous crystalline phase. Its…

材料科学 · 物理学 2014-12-17 Alfredo Metere , Peter Oleynikov , Mikhail Dzugutov , Michael O'Keeffe

Metal-organic frameworks (MOFs) have been widely investigated for challenging catalytic transformations due to their well-defined structures and high degree of synthetic tunability. These features, at least in principle, make MOFs ideally…

材料科学 · 物理学 2021-10-19 Andrew S. Rosen , Justin M. Notestein , Randall Q. Snurr