The phrase "atomistic method" is correct and usable in written English.
It can be used in contexts discussing analytical approaches that break down complex systems into simpler, individual components for study or understanding.
Example: "The atomistic method allows researchers to analyze the behavior of molecules by examining their individual atoms."
Alternatives: "reductionist approach" or "component-based method".
Therefore, although the atomistic method has been very successful for modeling an individual nanotube, it would not be a feasible approach for modeling the nanotube arrays.
The newly proposed energy-based coarse-grained atomistic method Multiresolution Molecular Mechanics (MMM) (Yang, To (2015), [57]) is applied to capture surface effect for nanosized structures by designing a surface summation rule SRS within the framework of MMM.
The atomistic method implemented in this work is based on the notion that nanotubes, or fullerenes, are geometrical frame-like structures where the primary bonds between two neighbouring atoms act like load-bearing beam members, whereas an individual atom acts as the joint of the related load-bearing system.
Also, the atomistic methods such as MD simulations are dependent to the small-scale modeling.
The elastic properties of the most important phases present in cement pastes have been studied by force field atomistic methods.
We utilize atomistic methods to study the fate of helium in the neighborhood of dislocations, grain boundaries and coherent nano-clusters in α-iron.
Precise modeling of this behavior requires fully atomistic methods in and around the extended defect, but the flow of point defects entering the defect region can be treated by coarse-grained methods.
In principle, these atomistic methods make it possible to generate the inelastic thermal neutron scattering cross sections of any material and to accurately reflect the physical conditions of the medium (i.e, temperature, pressure, etc).
The use of atomistic methods, such as the Continuous Cellular Automaton (CCA), is currently regarded as a computationally efficient and experimentally accurate approach for the simulation of anisotropic etching of various substrates in the manufacture of Micro-electro-mechanical Systems (MEMS).
In this work using atomistic methods we focus on the kinetics of graphite melting and show that the experimental puzzles can be resolved by considering the graphite melting as a process in the non-equilibrium superheated solid.
In the protein aggregation field, course-grained computational methods have been applied to understand the aggregation of poly-glutamine tracts associated with Huntington's disease [ 123] and atomistic methods to understand aggregation of amyloid β [ 124].
