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Algorithmically, the approach features a Jacobian-free Newton Krylov solver.
The approach features simplicity, flexibility, and easy adaptation to local contexts and needs.
Based on out recently presented PAROC framework, the approach features a detailed dynamic model describing the cogeneration of heat and power, combined with conventional and advanced control schemes.
The approach features the properties of computational efficiency, guaranteed convergence to a local optimum, and applicability to a very wide range of problems.
The approach features Bachi's thiol-medicated free radical cyclization of alkenyl isocyanide to build the bridged ring system, and ring-closing metathesis (RCM) reaction to form the macrocycle.
By iterating particles and fields to a tight nonlinear convergence tolerance, the approach features superior stability and accuracy properties, avoiding most of the accuracy pitfalls in earlier implicit PIC implementations.
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The proposed approach features the combined use of W-based hybrid nanocrystals (HNCs) as the W precursor and the promoting effect optimization of Ni promoter.
The current approach features a Lagrangian description of fluid particles on the subgrid for increased accuracy.
Generally, the LIC approach features simplicity and very low non-recombinant background, and it is suitable for high throughput cloning [ 13- 15].
The improved CS approach features the BASSAMP algorithm that we specified for a dyadic channel model.
The reaction mechanism follows the similar discussion as the organometallic approach featuring the nucleation and growth stages [37].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com