4 papers
New methods for metastimuli: architecture, embeddings, and neural network optimization
Rico A. R. Picone, Dane Webb, Finbarr Obierefu +1
Six significant new methodological developments of the previously-presented "metastimuli architecture" for human learning through machine learning of spatially correlated structura…
Application of a thermodynamical framework for transport analysis to the derivation of Dirac's value function
Rico A. R. Picone, John A. Sidles, Joseph L. Garbini
From a non-equilibrium thermodynamical framework for transport analysis based on Onsager's Regression Hypothesis, we derive the value function first described by Dirac for isotope…
Modeling spin magnetization transport in a spatially varying magnetic field
Rico A. R. Picone, Joseph L. Garbini, John A. Sidles
We present a framework for modeling the transport of any number of globally conserved quantities in any spatial configuration and apply it to obtain a model of magnetization transp…
Elements of naturality in dynamical simulation frameworks for Hamiltonian, thermostatic, and Lindbladian flows on classical and quantum state-spaces
John A. Sidles, Joseph L. Garbini, Jonathan P. Jacky +2
The practical focus of this work is the dynamical simulation of polarization transport processes in quantum spin microscopy and spectroscopy. The simulation framework is built-up p…