Recently, diffusion models have been proven to perform remarkably well in text-to-image synthesis tasks in a number of studies, immediately presenting new study opportunities for image generation. Google’s Ima
hierarchical parallel evolutionary algorithmsmulti objectivegame theoryPareto front and Nash equilbriumIt is shown that solutions of many model non-linear equations of the hydrodynamic type (including the Navier-Stokes equations in the theory of a viscous fluid) in the form of localized wave ...
data-driven algorithms. Most of these approaches have, however, been restricted to linear material properties such as the effective elastic stiffness in three dimensions7,8or Poisson’s ratio9. Extensions to nonlinearity (for example, via multi-material configurations) have been presented recently10but...
Evolutionary-scale prediction of atomic-level protein structure with a language model. Science 379, 1123–1130 (2023). CAS PubMed Google Scholar Eberhardt, J., Santos-Martins, D., Tillack, A. F. & Forli, S. AutoDock Vina 1.2.0: new docking methods, expanded force field, and Python ...
(Xie et al.,1997). A common challenge with these methods is the need for a closed-form representation of the diffusion process to use in parameter estimation algorithms. Actual sales data are compared against forecasted sales, with optimization used to minimize forecasting errors. We use our ...
These four algorithms use different evolutionary criteria. The optimality tolerance is set to 0.001. The lower and upper bounds for the control variable ξ are set to 0.001 and 0.999, respectively. Different initial values V0 of the variable ξ are tested in each case, and the results are ...
are shown in Figs.2E and F, respectively. Although the binding pose accuracy decreased as the ligand size increased, our models performed better for larger ligands than the baseline methods (Fig.2E), indicating their ability to efficiently handle many degrees of freedom. Besides, our models were...
- evolutionary graph theory - epidemic models on graphs - data-driven approaches - temporal networks - seeding strategies - optimization of dynamic processes in networks === IMPORTANT DATES === Submission deadline: 9 August 2015 First round decision: end of November 2015 ...
However, the impact of communication channels was the focus of epidemiology approach and the evolutionary models. Another problem, is our choices depend only on the social pressure? While all the mentioned models ignored the various innovations characteristics, the need of a model that take into acc...
Pattern formation in evolutionary dynamics has been studied as an example of phenomena inherent to many natural systems. It is well known that the reaction–diffusion models are used to study self-organization phenomena in physical, chemical and biological systems (see, for example, Refs. [1], ...