Ravinder Bhattoo
Indian Institute of Technology Delhi(IN)
Publications by Year
Research Areas
Machine Learning in Materials Science, Glass properties and applications, Neural Networks and Applications, Material Dynamics and Properties, Model Reduction and Neural Networks
Most-Cited Works
- → Predicting Young's modulus of oxide glasses with sparse datasets using machine learning(2019)111 cited
- → Deep learning aided rational design of oxide glasses(2020)96 cited
- → Interpretable Machine Learning(2024)90 cited
- → Understanding the compositional control on electrical, mechanical, optical, and physical properties of inorganic glasses with interpretable machine learning(2022)57 cited
- → Scalable Gaussian processes for predicting the optical, physical, thermal, and mechanical properties of inorganic glasses with large datasets(2020)46 cited
- → Interpreting the optical properties of oxide glasses with machine learning and Shapely additive explanations(2022)41 cited
- → Cooling rate effects on the structure of 45S5 bioglass: Insights from experiments and simulations(2020)41 cited
- → Density–stiffness scaling in minerals upon disordering: Irradiation vs. vitrification(2019)34 cited
- → Redox Sensitive Self-Assembling Dipeptide for Sustained Intracellular Drug Delivery(2019)28 cited
- → Evidence of a two-dimensional glass transition in graphene: Insights from molecular simulations(2019)26 cited