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A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm +3 more
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Accelerated inference for stochastic compartmental models with over-dispersed partial observations. [PDF]
Whitehouse M.
europepmc +1 more source
FPGA-specific accurate and approximate compressor-based multipliers using column restructuring and post-synthesis approximation. [PDF]
Mir MS, Khurshid B.
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General Expression for Vibronic Coupling in Proton-Coupled Energy Transfer. [PDF]
Cui K, Hammes-Schiffer S.
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The Tantawy technique for modeling fractional KdV and mKdV positron-acoustic solitary waves in an electron-positron-ion plasma with regularized [Formula: see text] distribution. [PDF]
El-Tantawy SA +4 more
europepmc +1 more source
A novel Hankel norm approximation-based AGC for a hydro-dominated power system. [PDF]
Naqvi S +4 more
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Selection for folding stability predicts observed covariation between protein positions in the PDB
Saebi F, Minning J, Bastolla U.
europepmc +1 more source
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Approximate Order Dependency Discovery
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021Lexicographical order dependencies (ODs) specify orders between list of attributes, and are proven useful in optimizing SQL queries with order by clauses. To find hidden ODs from dirty data in practice, in this paper we make a first effort to study the approximate OD discovery problem, aiming at automatically discovering ODs that hold on the data with ...
Yifeng Jin +3 more
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