β Scribed by J.A. Darsey; D.W. Noid; B.R. Upadhyaya
No coin nor oath required. For personal study only.
In this Letter, we teach a neural network the solution of the Schrsdinger equation for some model potential energy functions. The network can then predict eigenvalues of other test cases with an error of a few percent.
π SIMILAR VOLUMES
Uy treatingthe Hamiltonian for coupled oscillators with poiynornial anharmonicity by tbc Gibbs-Uogoliubov incqunlity, the effective harmonic oscillator (EHO) method is developed rend applied to computing the thermrtl averages for polyatomic molecules. Practical utility is demonstrated with calculati
## Abstract A twoβdimensional (2D) spectrofluorometer was used to monitor various fermentation processes with recombinant __E coli__ for the production of 5βaminolevulinic acid (ALA). The whole fluorescence spectral data obtained during a process were analyzed using artificial neural networks, ie s
This paper describes two strategies for the accurate computations of polential derivalives in boundary element methods. The first method regularizes the quasi singularity in a fundamental solution by referring the potential and its derivatives at the boundary point nearest to a calculation point in