The phrase "ability of the computational" is not correct in English as it is incomplete and lacks clarity.
It could be used in contexts discussing the capabilities of computational systems or methods, but it needs to be part of a more complete phrase.
Example: "The ability of the computational model to analyze large datasets is impressive."
Alternatives: "capacity of the computational" or "capability of the computational".
These results verify the ability of the computational model for designing new anticonvulsants structures with anti-MES activity.
Two orthopaedic applications are presented to demonstrate the ability of the computational tool to efficiently and accurately represent component performance.
It is concluded that the proposed hierarchical model calibration can effectively enhance the ability of the computational model to predict the system reliability of the cellular phone system.
Comparison of the simulated spectra with the experimental spectra provides important information about the ability of the computational method to describe the vibrational modes.
The aqueous species of U VI), U V) and U IV) were modeled to test the ability of the computational methodology to predict accurate interatomic distances as compared to those derived via EXAFS spectroscopy.
Furthermore, as far as ADSs are concerned, the ability of the computational tool to simulate the nuclear cascade created from the interaction of accelerated protons with the spallation target as well as the produced neutrons, is also required.
The use of PONDR ® VLXT is determined by the ability of this computational tool to visualize potential functional sites important for molecular recognition, signaling, and regulation.
Since topographically generated internal waves are believed to result in a substantial fraction of turbulent mixing in the ocean, we are motivated to examine oscillating tidal flow over a triangular obstacle to assess the ability of this computational model to represent nonlinear internal waves and turbulence.
The paper describes an international benchmarking exercise, sponsored by the OECD Nuclear Energy Agency NEAaimedimed at testing the ability of state-of-the-art computational fluid dynamics (CFD) codes to predict the important fluid flow parameters affecting high-cycle thermal fatigue induced by turbulent mixing in T-junctions.
In 2010, the first edition of the Critical Assessment of Genomic Interpretation (CAGI Berkeleyy, California) was organized to evaluate the ability of available computational methods to predict the phenotypic impacts of genomic variation.
