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Multi-energy CT is a more specific material decomposition method available for research currently, but not yet available for use in clinical practice.
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Among various soft chemical methods for preparing nanoscale materials, the thermal decomposition method is widely used due to the process simplicity [38, 39, 40].
We employed a projection-based maximum-likelihood method for the material decomposition into water, CA1, and CA2 [7].
In order to get homogeneous layered oxide Li[Ni1/3Mn1/3Co1/3]O2 as a lithium insertion positive electrode material, we applied the metal acetates decomposition method.
This work presents an analytical model for the development of a piezoelectric energy harvester with general nonlinear geometry and functionally graded material (FGM) properties based on Adomian decomposition method.
The facile one-step thermal decomposition method can be expected to open up opportunities in designing high-performance electrode materials with hierarchically porous features for lithium ion batteries.
A class of computational method, referred to as decomposition method, is a practical tool for predicting failure probability of structural and mechanical systems subject to random loads, material properties, and geometry.
Material decomposition.
Dual decomposition method.
Adomian decomposition method.
The outcome of the material decomposition are three material projection datasets (CA1, CA2, and water).
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