DEEP LEARNING-DRIVEN MOLECULAR GENERATION AND ELECTROCHEMICAL PROPERTY PREDICTION FOR OPTIMAL ELECTROLYTE ADDITIVE DESIGN

Deep Learning-Driven Molecular Generation and Electrochemical Property Prediction for Optimal Electrolyte Additive Design

Recently, generative models have rapidly advanced and are being applied to various domains beyond vision and large language models (LLMs).In the field of chemistry and molecular generation, deep learning-based models Dessert Cups are increasingly utilized to reduce experimental exploration and research costs.In this study, we conducted research on

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The Role of Neuromuscular Control of Postural and Core Stability in Functional Movement and Athlete Performance

Balance and core stabilization exercises have often been associated with improved athlete performance and/or decreased incidence of injuries.While these exercises seem to be efficient in the prevention of injuries, there is insufficient evidence regarding their role in sport-specific performance and related functional movements.The aim of this scop

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