For solving the coupling system during the simulation we introduced an adaptive ϵ approach for the ILU preconditioned GMRES solver which solves the coupling part efficiently.
Based on previous atomistic simulations, we introduce an algorithm for dislocation nucleation at the free surface as a function of stress and temperature in the DD simulation.
For numerical simulations, we introduce a discrete element model that accounts for both elastic and damping effects in axial and rotational directions.
To be able to compare and evaluate if the solubility-enhancing mutations from the studies by Chen (NMR1-2K3A), Harjes (NMR3-2K3A) and Shandila (XRAY2-2K3A) [32], [31], [32] affected the protein structure during the MD simulations, we introduced these mutations in silico into the XRAY1 and NMR2 structures to obtain the XRAY1-2K3A* aNMR2-2K3A*3A*.
In the ODE simulations, we introduced the memory length as the parameter for the estimation of the combinatory probability of the states.
In the second round of simulations, we varied the Signal:Noise Ratio as shown in individual panels, and in the third round of simulations we introduced a gradient over which the correlation emerged, where the factor applied to MPF and average age was tapered in a uniform way towards 1 beginning at the edge of the simulated block.
In the second set of simulations, we introduced a single variant with duplicates in a population of Y chromosomes carrying only single-copy genes and found that large duplicates are not easily fixed in a population under parameters reasonable for humans.
Based on Monte-Carlo (MC) simulation results, we introduce new universal functions to consider the chain length dependence of polymers, and are able to obtain more accurate critical volume fraction results in liquid liquid equilibrium (LLE) calculations.
The vegetation rules (see Methods section) are the same as previously used for the tidal flat simulations, although we introduce an additional secondary restriction for saltmarsh establishment of hydroperiod <0.8 to represent tidal pools in areas that have very shallow depth but are almost permanently inundated.
In order to improve the computational efficiency of the simulation algorithm, we introduced two optimizations.
