首页|University of Leeds Reports Findings in Machine Learning (Automated Growth Rate Measurement of the Facet Surfaces of Single Crystals of the b-Form of l-Glutamic Acid Using Machine Learning Image Processing)
University of Leeds Reports Findings in Machine Learning (Automated Growth Rate Measurement of the Facet Surfaces of Single Crystals of the b-Form of l-Glutamic Acid Using Machine Learning Image Processing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Leeds, United Kingdom, by NewsRx journalists, research stated, “Precision measurement of the g rowth rate of individual single crystal facets () represents an important compon ent in the design of industrial crystallization processes. Current approaches fo r crystal growth measurement using optical microscopy are labor intensive and pr one to error.” The news reporters obtained a quote from the research from the University of Lee ds, “An automated process using state-of-the-art computer vision and machine lea rning to segment and measure the crystal images is presented. The accuracies and efficiencies of the new crystal sizing approach are evaluated against existing manual and semi-automatic methods, demonstrating equivalent accuracy but over a much shorter time, thereby enabling a more complete kinematic analysis of the ov erall crystallization process. This is applied to measure in situ the crystal gr owth rates and through this determining the associated kinetic mechanisms for th e crystallization of b-form l-glutamic acid from the solution phase. Growth on t he {101} capping faces is consistent with a Birth and Spread mech anism, in agreement with the literature, while the growth rate of the { 021} prismatic faces, previously not available in the literature, is consisten t with a Burton-Cabrera-Frank screw dislocation mechanism. At a typical supersat uration of s = 0.78, the growth rate of the {101} capping faces ( 3.2 x 10 m s) is found to be 17 times that of the {021} prismatic faces (1.9 x 10 m s). Both capping and prismatic faces are found to have dead z ones in their growth kinetic profiles, with the capping faces ( = 0.23) being ab out half that of the prismatic faces ( = 0.46).”
LeedsUnited KingdomEuropeAcidic Am ino AcidsAmino AcidsCrystal GrowthCyborgsDicarboxylic Amino AcidsEmerg ing TechnologiesExcitatory Amino AcidsGlutamic AcidHealth and MedicineMa chine Learning
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