Large-scale physically-based and spatially-distributed models (>100 km2) constitute useful tools for water management since they take explicitly into account the heterogeneity and the physical processes occurring in the subsurface for predicting the evolution of discharge and hydraulic heads for several predictive scenarios.
Current research involves predicting the evolution of unstable multi-planet systems and also the production of ultra-short period planets.
Network models of porous media are beneficial for predicting the evolution of macroscopic mass transport properties.
This model is capable of explaining and predicting the evolution of nanotube populations as a function of kinetic parameters.
This paper presents a computational model for predicting the evolution of cracking in structures subjected to dynamic loading.
Duprex, a specialist at predicting the evolution of pathogens, is an associate professor of microbiology and the director of cell and tissue imaging at the U.S. National Emerging Infectious Diseases Laboratories at Boston University School of Medicine.
In the present work, a new method for predicting the evolution of the pressure in the tunnel is presented.
Therefore, deciphering the relationship between malaria prevalence in human and parasite load in mosquitoes remains crucial for predicting the evolution of SSM-VIMT efficacy as malaria is successfully controlled.
The damage mesomodel developed at LMT-Cachan, based on a micromechanical description, aims at predicting the evolution of damage in composite structures until failure.
Predicting the evolution of software engineering technology is, at best, a dubious proposition; most typically, it is a frustrating exercise in disappointment and anxiety.
A model for predicting the evolution of damage in the form of numerous cracks on multiple length scales in composite materials subject to impact loading is presented.
