Oztop et al. [22] developed a computational model of mental-state inference that used the circuitry that underlay motor control.
Therefore, we have developed a computational model to estimate CO2 transport in silicone-based microfluidic devices.
In this study, I developed a computational model to predict shear stress for different structured fibrous networks.
We have developed a computational model of the spinal cord neural circuitry that controls locomotor movements of simulated cat hindlimbs.
We developed a computational model to investigate the magnetic and structural phase transitions in metamagnetic shape memory alloys.
Considering these observations, we have developed a computational model that could discriminate the active compounds from inactive ones in both phases.
We developed a computational model capable of offering a direct mapping from human brain areas to computational modules of our model.
Pettigrew et al. developed a computational model of the nonlinear intracellular signaling and gene network that underlies the induction of 5-HT-induced LTF.
We developed a computational model based on time-dependent ordinary differential equations (ODEs) which decoupled expansion and differentiation kinetics of cells using a subpopulation dynamic model.
To gain insight into the interplay of processes and species that maintain a correctly folded, functional proteome, we have developed a computational model called FoldEco.
We developed a computational model of α precipitation in Ti alloys, via the phase-field method, in order to investigate the fundamental cause of the observed microstructural changes.
