Nothing says synthetic biology, artificial life, or humanoid biobots like metal-organic frameworks (MOFs). It's in the name.
Designing the perfect membrane for clean separation of gases
Jun 2022, phys.org
MMOF - mixed-matrix metal-organic framework (MOF nanosheets in a polymer matrix)
via King Abdullah University of Science and Technology: Shuvo Jit Datta et al, Rational design of mixed-matrix metal-organic framework membranes for molecular separations, Science (2022). DOI: 10.1126/science.abe0192. www.science.org/doi/10.1126/science.abe0192
Mostly unrelated image credit: Square droplets and liquid lattices - Aaolto University - 2021
Researchers use biomolecule-loaded metal-organic frameworks nanopatterns to aid artificial stem cell differentiation
Jun 2022, phys.org
MOFs, or metal organic frameworks, are hybrid crystalline porous materials constructed using metal ions and organic ligands. Due to their porous nature, MOFs are excellent for trapping and releasing molecules of interest over a long period of time. This gave the team the idea to use MOFs for storing and releasing from nanopit arrays biocompatible nanoparticles necessary for stem cell differentiation.
via Chung-Ang University, Republic of Korea: Yeon-Woo Cho et al, Single metal-organic framework–embedded nanopit arrays: A new way to control neural stem cell differentiation, Science Advances (2022). DOI: 10.1126/sciadv.abj7736
GTUB3 is the first microporous, metal-organic solid that is both conductive and photoluminescent
Dec 2022, phys.org
The problem to date is that the majority of MOFs are very poor conductors of electricity. The new material created by the researchers, called GTUB3, is both a good conductor as well as chemically and thermally extremely stable. What makes it unique is that it is also photoluminescent, meaning that it glows when irradiated with light. As a result, it could also be used in optoelectronic applications and solar cells.
via Technical University of Berlin: Yunus Zorlu et al, Electrically Conductive Photoluminescent Porphyrin Phosphonate Metal–Organic Frameworks, Advanced Optical Materials (2022). DOI: 10.1002/adom.202200213
New AI model transforms understanding of metal-organic frameworks
Mar 2023, phys.org
"We pre-trained the MOFTransformer with a million hypothetical MOFs to learn their essential characteristics, which we represented as a sentence. The model was then trained to complete these sentences to give the MOF's correct characteristics."
via Ecole Polytechnique Federale de Lausanne and KAIST: Jihan Kim, A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks, Nature Machine Intelligence (2023). DOI: 10.1038/s42256-023-00628-2.
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