Results 81 to 90 of about 8,185,998 (303)

The metal organic framework in environment applications [PDF]

open access: yesE3S Web of Conferences
With the continuous advancement of science and technology and the growing demand for energy, environmental protection and life safety, metal-organic frameworks (MOFs) have become an important material in today’s world. MOFs consist of metal ions or metal
Chen Shiya, Wang Yiyang, Zhang Chengyu
doaj   +1 more source

Selective capture of carbon dioxide from hydrocarbons using a metal-organic framework

open access: yesNature Communications, 2021
Metal-organic framework adsorbents are promising materials for gas separation and purification. Herein, the authors present a metal-organic framework that selectively captures CO2 over small hydrocarbons; this separation is relevant for the purification ...
Omid T. Qazvini   +2 more
doaj   +1 more source

Tunable Flexibility and Porosity of the Metal-Organic Framework DUT-49 Through Post-Synthetic Metal Exchange [PDF]

open access: yes, 2019
As a prominent and representative example of flexible metal-organic frameworks (MOFs), DUT-49(Cu) has gained attention due to the unique phenomenon of Negative Gas Adsorption (NGA); originating from an unprecedented struc-tural contraction during the gas
Bikash, Garai   +6 more
core   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Synthesis, characterization, and electrochemical properties of polyaniline/Co(II) metal-organic framework composites [PDF]

open access: yesشیمی کاربردی روز, 2019
Polyaniline/Co(II) metal-organic framework composites (PANI/x%Co-MOF) were synthesized by hydrothermal preparation of Co(II) metal-organic framework in the presence of as-prepared polyaniline.
zeinab ansari-asl   +3 more
doaj   +1 more source

Modular Critical Element Recycling Platform Using a Nanoporous Additively Manufactured Gyroid

open access: yesAdvanced Engineering Materials, EarlyView.
A modular recycling platform integrates 3D‐printed nanoporous gyroid structures to enable efficient critical element recovery. This system utilizes a hierarchical architecture, combining macroscopic channels with polymerization‐induced nanoscale porosity. By systematically tuning structural wall thickness and resin formulation, the platform achieves an
Xiangyu Gao   +6 more
wiley   +1 more source

Application of Metal‐Organic Framework Composites

open access: yesChemistryEurope
Environmental issues have intensified, and demand for energy continues to grow, making it challenging for conventional materials to meet the needs of further exploration in these fields recently. Metal‐organic frameworks (MOFs) offer considerable promise
Yihao Chen   +5 more
doaj   +1 more source

Chemoselective single-site Earth-abundant metal catalysts at metal–organic framework nodes

open access: yesNature Communications, 2016
Catalysis with non-precious metals presents many advantages including ease of availability, security of supply and low cost. Here, the authors report a metal–organic framework with cobalt or iron sites for use as single-site solid catalysts in a number ...
Kuntal Manna   +6 more
doaj   +1 more source

Metal-organic framework hybrid adsorbents for carbon capture - A review

open access: yes, 2023
Metal-organic framework hybrid adsorbents for carbon capture - A ...
PL Llewellyn (14647748)   +4 more
core  

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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