  The model presented in this research predicts ideal chiral crystal and
propose a new direction of designing chiral crystals. Skyrmions are
topologically protected and structurally assymetric materials with an exotic
spin composition. This work presents deep learning method for skyrmion material
design of chiral crystals. This paper presents an approach to construct a
probabilistic classifier and an Artificial Neural Network(ANN) from a true or
false chirality dataset consisting of chiral and achiral compounds with 'A' and
'B' type elements. A quantitative predictor for accuracy of forming the chiral
crystals is illustrated. The feasibility of ANN method is tested in a
comprehensive manner by comparing with probalistic classifier method.
Throughout this manuscript we present deep learnig algorithm design with
modelling and simulations of materials. This research work elucidated paves a
way to develop sophisticated software tool to make an indicator of crystal
design.
