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quantum clusters.
Figure 6 XPS spectra of supported quantum clusters.
The gold quantum clusters (AuQC@BSA) synthesized using bovine serum albumin and conjugated with acetylcholinesterase (AChE), an enzyme specific for acetylcholine, resulting in AuQC@BSA-AChE.
Monolayer-protected quantum clusters (QCs) composed of a few atoms show unique properties due to their novel atomic and electronic structure.
Interest in the study of structural and energetic properties of highly quantum clusters, such as inert gas clusters has motivated the development of a hardware-accelerated framework for Quantum Monte Carlo simulations.
Quantum clusters (QCs) of silver such as Ag7(H2MSAg8, Ag8(H2mercaptosuccinicrcacidsuccinic acid) were synthesized by the interfacial etching of Ag nanoparticle precursors and were loaded on metal oxide supports to prepare active catalysts.
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The dynamic quantum clustering (DQC) enables powerful visualization of high-dimensional big data [8].
In this way quiver Grassmannians are now an indispensable tool for studying cluster algebras and quantum cluster algebras.
It inherits the advantage of data structure learning and shows high robustness towards data distribution of Quantum Clustering (QC).
In particular, quantum clustering does not depend on conventional probability approaches but infers the centers of clusters on the basis of the Schrödinger wave equation from quantum mechanics.
When used for knowledge extraction, quantum clustering can determine the cluster centers by searching for minima of the potential functions in quantum mechanics.
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