Concepedia

Daniel R. Cassar

DR

28

Publications

1.2K

Citations

20

H-Index

2016

Active since

Affiliations

Universidade Federal de São Carlos(Current)

Brazilian Center for Research in Energy and Materials

Universidade de São Paulo

Pennsylvania State University

Universidade Federal da Bahia

Daniel R. Cassar is an author at Universidade Federal de São Carlos specializing in engineering, materials science, and applied physics.

Top concepts

EngineeringMaterial SciencePhysicsApplied PhysicsMachine LearningNucleationThermodynamicsCrystallographyRheologyData Science

Publications per year

2016–2024

28

Publications

28

Predicting glass transition temperatures using neural networks

Daniel R. Cassar, André C. P. L. F. de Carvalho, Edgar Dutra Zanotto · Acta Materialia · 2018 · 175 citations · Full text

Engineering, Machine Learning, Glass-forming Liquid +5

Explainable Machine Learning Algorithms For Predicting Glass Transition Temperatures

Edesio Alcobaça, Saulo Martiello Mastelini, Tiago Botari et al. · Acta Materialia · 2020 · 103 citations

Artificial Intelligence, Engineering, Machine Learning +8

Designing optical glasses by machine learning coupled with a genetic algorithm

Daniel R. Cassar, Gisele G. Santos, Edgar Dutra Zanotto · Ceramics International · 2020 · 77 citations · Full text

Optical Design, Glass-ceramic, Engineering +8

ViscNet: Neural network for predicting the fragility index and the temperature-dependency of viscosity

Daniel R. Cassar · Acta Materialia · 2020 · 75 citations · Full text

Fluid Properties, Engineering, Machine Learning +7

Crystal nucleation in glass-forming liquids: Variation of the size of the “structural units” with temperature

Vladimir M. Fokin, Alexander S. Abyzov, Edgar Dutra Zanotto et al. · Journal of Non-Crystalline Solids · 2016 · 73 citations

Materials Science, Crystal Nucleation, “ Structural Units +10

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