The Predictive Role of Simulations in Assessing Military Performance

The current study assessed the predictive validity of simulations to improve the military selection system. Four navy simulations were developed and their predictive validity was measured. The performance of 1007 Israeli navy soldiers was measured in a longitudinal study, which was carried on for almost two years. Participants’ performance in four simulations (naval-navigation test, raft sailing, rubber boat [zodiac] mounting, and military tent assembly) was measured and used as a behavioral predictor for their performance at the end of their first year of active military service on combat ships. All but the raft sailing simulation predicted participants’ performance.     

Generating Recommendations for Simulator Design Through Pilot Assessment of Prototype Utility

Incorporated in a simulator design project, this study assessed the utility of a simulator prototype for air combat training to optimize continued development. After several scenarios, the 13 male participants completed a survey. Seven fidelity levels: visual feedback, head-up/head-down, instrumentation, flight controls, graphics, visual resolution, and field-of-view were rated for three dimensions: realism, limitation of performance, and importance of realism. The results informed decisions about which fidelity levels, head-up/head-down and field-of-view, that should be prioritized during the next design cycle, and generated recommendations for continued simulator design and directives for further evaluations.     

Elastic solutions with arbitrary elastic inhomogeneity and anisotropy

An efficient numerical algorithm is proposed to accurately compute the elastic fields in two-dimensional (2D) or three-dimensional (3D) microstructures with arbitrary elastic inhomogeneity and anisotropy. It combines the equivalent inclusion method of Eshelby, the microelasticity theory of Khachaturyan, and the spectral iterative perturbation method of Hu and Chen. Its efficiency is compared with those of existing approaches in the literature. The method can be conveniently implemented in phase-field modeling of stress-dependent microstructure evolution and/or of mass/electrical transport.     

Site preference of refractory elements in γ′-Ni3Al alloyed with Ru

The influence of ruthenium (Ru) on the partitioning behavior of W, Re and Cr in γ′-Ni₃Al has been studied using the Dmol3 method based on the density functional theory. The calculated results show that W, Re and Cr have a preference for the Ni site in γ′-Ni₃Al alloyed with Ru. When Ru substitutes the central Ni atom, the site preference for W, Re and Cr varies. Furthermore, an electronic structure analysis of the alloy in terms of the Mulliken population and partial density of states was performed to elucidate the alloying mechanism of Ru in γ′-Ni₃Al. The results show that the strengthening effect of Ru in the alloy arises from a reduction in the binding energy of Ru as well as p-orbital hybridization between Ru and the host atoms.     

Deformation twins induced by multi-mode deformation in nanocrystalline copper

A multi-mode deformation model is used in a molecular dynamics simulation of nanocrystalline copper. Abundant deformation twin lamellae are developed by shearing the following compression to the elastic limit. Deformation twins (DTs) nucleate through two different mechanisms facilitated by Shockley partial slips. Interactions between DTs and Shockley partials are observed in this simulation.     

Making the future memorable: The phenomenology of remembered future events

Although our ability to remember future simulations conveys an adaptive advantage, enabling us to better prepare for upcoming events, the factors influencing the memorability of future simulations are not clear. In this study, participants generated future simulations that combined specific people, places and objects from memory, and for each trial, made a series of phenomenological ratings about the event components and the simulation as a whole. Memory for simulations was later assessed using a cued-recall test. We used multilevel modelling to determine whether the phenomenological qualities of event components (familiarity, emotionality and significance) and simulations (detail, plausibility) were predictive of whether the simulation was successfully encoded and later accessible. Our results demonstrate that person familiarity, detail and plausibility were significant predictors of whether a given future simulation was encoded into memory and later accessible. These findings suggest that scaffolding future simulations with pre-existing episodic memories is the path to a memorable future.