Composite Gaussian process models with an analytical profit function and a steady-state energy-balance residual are embedded in Bayesian optimization to improve economic performance and constraint satisfaction on a simulated multi-product chemical reactor.
A muon-spin relaxation study of BiMnO3
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abstract
We present the results of muon-spin relaxation measurements on ferromagnetic BiMnO3. Below T_C=98.0(1) K oscillations in the time-dependence of the muon polarization are observed, characteristic of a quasistatic magnetic field at a single muon site, allowing us to probe the critical behaviour associated with the magnetic phase transition. We are able to suggest candidate muon sites on the basis of dipole field calculations. Close to T_C, fluctuations of the Mn^3+ moments are characteristic of critical behaviour while there is a sharp crossover to a region of fast dynamic fluctuations at higher temperatures.
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Bayesian Optimization of a Multi-Product Chemical Reactor Using Composite Models and Partial Physics Knowledge
Composite Gaussian process models with an analytical profit function and a steady-state energy-balance residual are embedded in Bayesian optimization to improve economic performance and constraint satisfaction on a simulated multi-product chemical reactor.