7 citations · 7 across the 2 of their papers we have counts for
2 papers
physics.chem-ph2022
Obtaining transferable chemical insight from solving machine-learning classification problems: Thermodynamical properties prediction, atomic composition as good as Coulomb matrix
Leon Alday-Toledo, Roberto Bernal-Jaquez, Saul Zapotecas-Martinez +1
Machine learning (ML) can be used to construct surrogate models for the fast prediction of a property of interest. ML can thus be applied to chemical projects, where the usual expe…
physics.comp-ph2018★ 7 cited
Solution of the Nonlinear Schrodinger Equation with Defocusing Strength Nonlinearities Through the Laplace-Adomian Decomposition Method
O. Gonzalez-Gaxiola, Pedro Franco, R. Bernal-Jaquez
In this work we apply the Adomian decomposition method combined with the Laplace transform (LADM) in order to solve the 1-dimensional nonlinear Schrodinger equation whose nonlinear…