What is it about?
Machine learning methods are demosntrating as a great alternative to solve traditional complicated problems (such as partial differential equations). Among them, the so-called reservoir computer algorithm has proven to be extremely efficient to tackle these problems. In this paper we adapt this new, powerful method to solve the vibrational SE, key in the development of computational chemistry and other related fields..
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Why is it important?
The performance of the method is extremely good , and could help in advances in computational chemistry and quantum chaos
Perspectives
We seek adapting the RC method to other problems (price tendency anticipation and prediction infileds such as Precission Agriculture, stock market, weather forecast, etc.
Florentino Borondo
Universidad Autonoma de Madrid
Read the Original
This page is a summary of: Adapting reservoir computing to solve the Schrödinger equation, Chaos An Interdisciplinary Journal of Nonlinear Science, June 2022, American Institute of Physics,
DOI: 10.1063/5.0087785.
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