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Accelerated Discovery of Metal-Organic Frameworks (MOFs) For Energy Related Applications

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Deep learning-based recommendation system for metal-organic frameworks (MOFs)

Berend Smit, Xiaoqi Zhang, Kevin Maik Jablonka

This work presents a recommendation system for metal-organic frameworks (MOFs) inspired by online content platforms. By leveraging the unsupervised Doc2Vec model trained on document-structured intrinsic MOF characteristics, the model embeds MOFs into a hig ...

Royal Soc Chemistry2024

Harnessing Porous Materials for Efficient Gas Capture: A Computational Exploration of Structure, Function, and Workflow Automation

Miriam Jasmin Pougin

Industrial chemistry heavily relies on traditional separation methods which are both energy-demanding and environmentally detrimental. This thesis addresses critical separation challenges, specifically carbon capture applications and the separation of ethy ...

EPFL2024

A Robust Framework for Generating Adsorption Isotherms to Screen Materials for Carbon Capture

Berend Smit, Susana Garcia Lopez, Elias Moubarak, Seyedmohamad Moosavi

To rank the performanceof materials for a given carbon captureprocess, we rely on pure component isotherms from which we predictthe mixture isotherms. For screening a large number of materials,we also increasingly rely on isotherms predicted from molecular ...

AMER CHEMICAL SOC2023

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The design of metal-organic frameworks (MOFs) having large pore sizes and volumes often requires the use of complex organic ligands, currently synthesized using costly and time-consuming palladium-catalyzed coupling chemistry. Thus, in the present work, a ...

WILEY-V C H VERLAG GMBH2023

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The heat capacity of a material is a fundamental property of great practical importance. For example, in a carbon capture process, the heat required to regenerate a solid sorbent is directly related to the heat capacity of the material. However, for most m ...

NATURE PORTFOLIO2022

Multiple Surface Site Three-Dimensional Structure Determination of a Supported Molecular Catalyst

Moreno Lelli, Pierrick Berruyer, David Benjamin Roger Antoine Gajan, Zhuoran Wang

The structural characterization of supported molecular catalysts is challenging due to the low density of active sites and the presence of several organic/organometallic surface groups resulting from the often complex surface chemistry associated with supp ...

AMER CHEMICAL SOC2022

In the last years, it has been demonstrated a link between the overload of metal ions inside nervous system cells and the onset of severe neurodegenerative diseases. This prompted the investigation of the structural and functional properties of transporter ...

EPFL2022

Amine Functionalization in Porous Adsorbents for Carbon Capture and Conversion

Anita Justin

Metal-organic Frameworks (MOFs) are a class of crystalline porous materials with exceptionally high surface area, chemical tunability and stability. Due to alarming CO2 emission and global concern, research is focused on developing porous materials like MO ...

EPFL2022

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Functionalizing metal–organic frameworks (MOFs) with amines is a commonly used strategy to enhance their performance in CO2 capture applications. As such, in this work, a two-step strategy to covalently functionalize NH2-containing MOFs with short chain po ...

2021

Significant advances have been made in the synthesis of chemically selective environments within metal-organic frameworks, yet materials development and industrial implementation have been hindered by the inability to predictively control crystallite size ...

AMER CHEMICAL SOC2021