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Compact thermal storage using a hybrid phase change material (PCM) store for domestic heating applications is investigated.
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The 3D pattern was inverted using a Hybrid Input-Output phase retrieval algorithm with a cuboid-shaped support and a [- π/2, π/2] phase constraint.
The ability to correlate the elastic properties of melt infiltrated SiC/SiC composites to properties of constituent phases using a hybrid Finite Element approach is examined and the influence of material internal features, such as the fabric architecture and intra-tow voids, on such correlation is elucidated.
In doing so, the entire gait cycle has been discretized into phases and sub-phases and modeled using a hybrid automaton, subsequently the automaton has been integrated with the BIP(Behavior, Interaction, Priority) framework, thereby creating a component based computational framework for modeling biped locomotion.
A new two-phase model using a hybrid Eulerian Lagrangian formulation for the gas-droplet flow is developed as part of this work.
Total lung coverage is achieved using a hybrid 3D pulse sequence that combines conventional phase encoding with sparse radial sampling for efficient gas usage.
Using a hybrid drive makes sense for a few reasons.
We test this hypothesis using a hybrid cellular automaton approach.
Phase I could be funded by new and additional voluntary contributions from developed countries; phase II would use a hybrid or market-linked mechanism; and phase III could be funded through the carbon market.
Avril, Gouranton and Arnaldi [15] outline an alternative broad phase that uses a hybrid system comprising CPU-based spatial partitioning and GPU-based full-sort sweep and prune.
In Japan, they use a hybrid approach.
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