Tired of the trail-and-error procedures in calculating the energy barriers for catalytic reactions? Try out the Gas-Solid Nanoreactor developed by our group.
Automated Exploration of Heterogeneous Catalysis with a Gas–Solid Nanoreactor | ACS Catalysis
A month back, we released the Open Catalyst demo, enabling adsorption energy calculations ~1000x faster than DFT using ML potentials: https://t.co/J6KyClAcFI
Today we’re publishing two case studies of how the demo can accelerate research in catalyst discovery!
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Just published in The Innovation Materials: "Opportunity of lead-free metal halide perovskites for electroluminescence"!
🌟 Explore the exciting potential of eco-friendly lighting.
#Perovskites#Electroluminescence
https://t.co/2Vi6AfJybP
The Innovation Materials @Innov_Materials, an international journal of materials science, and a sister journal of The Innovation @The_InnovationJ, launched its first issue.
See the unseen. change the unchanged.
https://t.co/b8a9uHdrnW
In this @ScienceAdvances paper, in collaboration with experimental teams, we performed DFT-based NMR calculations to reveal the atomic-scale metal apportionment of mixed-metal MOFs, from which their complicated adsorption behavior can be understood.
https://t.co/MOEohqZY5i
BREAKING NEWS:
The Royal Swedish Academy of Sciences has decided to award the 2022 #NobelPrize in Chemistry to Carolyn R. Bertozzi, Morten Meldal and K. Barry Sharpless “for the development of click chemistry and bioorthogonal chemistry.”
Faster, more scalable, and more accurate large-scale quantum chemistry. Our @Supercomputing 22 paper is now ready. The largest fragment-based HF plus MP2 calculations: 146k atoms, 623k electrons, 1.5M basis functions, and 27,600 V100 @nvidia#gpus. @CompChemBioBot
In this recently out @ACSCatalysis paper, we quantified the electron transfer from the orbitals of CoCp- fragments to the Pt(111) surface.
https://t.co/QQ0Iplqt5q
How much time is wasted on failed #compchem calculations for catalyst discovery? @chenru_duan showed that a dynamic #ML classifier and a transferable rep. can generalize across intermediates and metals to predict calculation success! Now in @JCIM_JCTC! https://t.co/hqSBvDEEhY