By choosing appropriate coordinates, the present analysis is applicable to devices of various shapes such as prolates, oblates, disks, and rod-like shapes.
In this work, we have developed an IBM scheme applicable to curvilinear coordinates, aiming at taking advantage of both the methodologies.
First, covalent docking captures the substrate recognition for multiple subtypes of HAD superfamily enzymes, which have a key covalent intermediate along their reaction coordinate; this approach should be applicable to enzymes from other superfamilies that go through such an intermediate.
The latter is defined based on a floating coordinate system which rendered the formulation applicable to both prismatic and revolute joints.
The developed methods were directly applicable to problems in polar coordinates.
In these methods, they have used full-step grid points, hence these methods are not directly applicable to problems in polar coordinates.
The clustering and dimensionality reduction algorithms used in the previous sections are equally applicable to analysis in image coordinate space, exploring the correlation between individual structural elements found in the image itself.
The standard LBM can only be used in Cartesian coordinate system and we extend it to be applicable to this axisymmetric thermal flow problem, avoiding the use of three-dimensional LBM on Cartesian coordinate system.
In this paper, we propose a method derived from the consistency condition, which is applicable to hyperbolic equations irrespective of coordinate systems.
Thus, the proposed numerical method is directly applicable to an elliptic equation in polar coordinates, and we do not require any fictitious points for computation, which is the main highlight of our work.
