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To optimize the energy degrader design we investigate the choice of an optimal material for the degrader, the beam emittance growth in the degrader, and the matching of the degraded beam with the acceptance of a medical beam line.
Steinkemper, H., Hermle, M. & Glunz, S. W. Comprehensive simulation study of industrially relevant silicon solar cell architectures for an optimal material parameter choice.
This segregated architecture composite is an optimal material for insulating electronic packaging.
We reported an optimal material for embedding chemoresponsive dyes based on modified commercial PDMS.
Then, the processing of tailor-made microstructures is still challenging in order to find an optimal material.
Based on this type of optimisation, it is possible to obtain an optimal material distribution for several applications and requirements.
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Most research in the last decades considered these optimization techniques separately, seeking an initial optimal material layout and refining the shape of the solution later.
Silicon with n=3.4, low loss, and high thermal conductivity is a nearly optimal material for these purposes but requires an antireflection (AR) coating with broad bandwidth, low loss, low reflectance, and a matched coefficient of thermal expansion.
This paper considers a new way for optimal material selection strategy using a combination of three well known methods; the Cambridge Material Selector based method, the adapted value engineering techniques and the technique for order preference by similarity to ideal solution.
To reveal the local buckling strength of periodic lattice composites, an important factor in optimal material design, analytical method based on the classical beam-column theory was applied.
Topology Optimisation (TO) is an optimisation type that calculates the optimal material distribution for a given problem.
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