NanoMOFs: little crystallites for substantial applications
Synthetic methods for the preparation of metal–organic framework crystallites in the nano-size regime and their potential applications are reviewed.
Chemistry↗
Engineering topics
Farha, O. K.
Publications and source records attributed to Farha, O. K..
Atomic layer deposition of Cu( i ) oxide films using Cu( ii ) bis(dimethylamino-2-propoxide) and water
To grow films of Cu 2 O, bis-(dimethylamino-2-propoxide)Cu( ii ), or Cu(dmap), is used as an atomic layer deposition precursor using only water vapor as a co-reactant.
catalysis (heterogeneous), materials and chemistry↗
Functionalised cyclodextrin-based metal–organic frameworks
A CD-MOF is prepared from amino-functionalized (blue moon) γ-CD, which permanently captures CO 2 as a carbamate (red moon).
Chemistry↗
Second-generation hexavalent molybdenum oxo-amidinate precursors for atomic layer deposition
Here, the synthesis of molybdenum oxo-amidinate complexes MoO 2 (R 2 AMD) 2 [AMD = N,N'-di-R-acetamidinate; R = Cy (2; cyclohexyl) and iPr (3)], and their characterization by 1 H, 13 C NMR, X-ray diffraction, and thermogravimetric analysis is reported. Quartz-crystal microbalance and X-ray photoelectron spectroscopic studies confirm that 3 is an improved ALD precursor versus the R = t-butyl derivative for MoO 3 film growth. Complex 3 is accessible in higher yields (80%+), is easier to handle without mass loss, and in conjunction with O 3 as the second ALD reagent, yields nitride-free MoO 3 films.
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗
In silico discovery of metal-organic frameworks for precombustion CO 2 capture using a genetic algorithm
Discovery of new adsorbent materials with a high CO 2 working capacity could help reduce CO 2 emissions from newly commissioned power plants using precombustion carbon capture. High-throughput computational screening efforts can accelerate the discovery of new adsorbents but sometimes require significant computational resources to explore the large space of possible materials. Here in this paper we report the in silico discovery of high-performing adsorbents for precombustion CO 2 capture by applying a genetic algorithm to efficiently search a large database of metal-organic frameworks (MOFs) for top candidates. High-performing MOFs identified from the in silico search were synthesized and activated and show a high CO 2 working capacity and a high CO 2 /H 2 selectivity. One of the synthesized MOFs shows a higher CO 2 working capacity than any MOF reported in the literature under the operating conditions investigated here.
36 MATERIALS SCIENCE↗