Quasi-Monte Carlo methods are known to converge faster (Caflisch 1998) and provide low discrepancies, which is attributed to the improved uniformity.
The improved model selection can be attributed to the improved side-chain quality, which enables the MQAP to rescue good backbone models with poor side-chain packing.
The excellent performance is attributed to the improved lithium ion mobility and electronic conductivity.
Besides, the enhanced photocatalytic performance is also attributed to the improved visible-light absorption and enlarged surface area.
Higher acidity, better metal dispersion and favorable metal support interactions could be attributed to the improved performance of the former.
The enhanced energy release of rGO/Al@Fe2O3 is attributed to the improved spatial distribution as well as the increased interfacial intimacy between the oxidizer and the fuel.
Furthermore, the reduced cooling capacities and reduced combined power consumption were attributed to the improved performance of the combined A/C system.
The excellent rate performance can be attributed to the improved ion transport (due to large pore size) and the good wettability (due to the oxygen group) of electrolyte.
The nucleator-promoted sc crystallization of HMW PLLA/PDLA blend is attributed to the improved PLLA/PDLA intermolecular interactions and lattice matching between nucleator and sc crystallites.
The improved electrochemical performance of surface-modified LiMn2O4 was attributed to the improved stability of crystalline structure and the higher Li+ conductivity.
