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Comparative evaluation of machine Learning-based QSPR techniques for predicting polymer glass transition temperature

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Comparative evaluation of machine Learning-based QSPR techniques for predicting polymer glass transition temperature

Kamrun N. Keya et al · Springer · 2026 · ISSN 2730-7727

Abstract The glass transition temperature ( $$\:{T}_{g}$$ ) is a pivotal parameter for amorphous polymers, influencing their behavior under different thermal properties. Assessing $$\:{T}_{g}$$ is crucial for evaluating ...

LCC LCC:Materials of engineering and construction. Mechanics of materialsIdioma eng

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Role of glass fiber in enhancing mechanical, thermal, and durability characteristics of concrete

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Role of glass fiber in enhancing mechanical, thermal, and durability characteristics of concrete

Manasa Dwarampudi et al · Springer · 2026 · ISSN 2948-1546

Abstract Glass Fiber Reinforced Concrete (GFRC) is increasingly used in modern construction because of its improved strength, durability, and versatility. This review analyses data from several research papers to evaluat...

LCC LCC:Engineering (General). Civil engineering (General)Idioma eng

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