Ceramic Research Lab · Thapar Institute of Engineering and Technology
Assistant Professor · Department of Physics and Materials Science
Experimental and computational researcher at the intersection of glass science, materials informatics, and AI-assisted discovery — designing oxide glasses and glass-ceramics through machine learning, Bayesian optimisation, and NLP-driven literature mining.
My research focuses on understanding how the composition and structure of oxide glasses and glass-ceramics govern their functional properties — spanning thermal, optical, magnetic, dielectric, and bioactive behaviour. I work across classes of glass-ceramics employing high end characterisation techniques.
We develop random forest, XGBoost, and SVM models trained on compositional and structural features (NBO fraction, cross-link density) to predict Tg and CTE. Physics-informed descriptors consistently outperform purely compositional inputs.
We frame multi-oxide composition design as a Bayesian optimisation problem to guide experiments toward compositions satisfying target property windows for various applications.
We build RAG pipelines (LitraX) to automate extraction of composition–property data from PDF articles — constructing curated datasets for downstream modelling and closing the loop between literature, ML, and experiment.
We investigate silicate, borosilicate, borate, and oxyfluoride systems to understand how network topology shapes thermal, optical, magnetic, and dielectric behaviour. Controlled crystallisation studies track phase evolution from glass to functional glass-ceramic.
Professor (Supervisor) · Thapar Institute of Engineering and Technology
Assistant Professor / PhD
PhD Scholar
MTech / Project Student
Designing glass sealants for intermediate- and low-temperature solid oxide fuel cells: challenges and prospects
K. Singh, P. Kaur, S.S. Danewalia[doi]
Oxide glass-based phosphors for white light emitting diodes: current status, challenges, and future perspective.
P. Kaur, S.S. Danewalia, K. Singh[doi]
An improved machine learning strategy using structural features to predict the glass transition temperature of oxide glasses.
S.S. Danewalia., K. Singh[doi]
Effect of Li₂O on dielectric, structural and optical properties of yttrium borosilicate glasses
G. Sharma, S.S. Danewalia, N. Bansal, S. Khan, N. Pandher, K. Singh[doi]
Bioactive glasses and glass-ceramics for hyperthermia treatment of cancer: state-of-art, challenges, and future perspectives.
S.S. Danewalia.; K. Singh[doi]
Intriguing role of TiO₂ in glass-ceramics: bioactive and magneto-structural properties.
S.S. Danewalia, K. Singh[doi]
Effect of mixed oxide/fluoride bonding on the dielectric properties of oxyfluoride glasses.
S.S. Danewalia, N. Gupta, S. Aggarwal, K. Singh[doi]
Agricultural wastes as a resource of raw materials for developing low-dielectric glass-ceramics.
S.S. Danewalia, G. Sharma, K. Singh[doi]
Nanocrystalline glass ceramics: structural, physical and optical properties.
S.S. Danewalia, K. Singh[doi]
New paper accepted in Progress in Materials Science — Nanocrystalline oxide glass-ceramics: Progress,?prospects and perspectives
New paper published in Journal of Power Sources — Designing glass sealants for intermediate- and low-temperature solid oxide fuel cells: challenges and prospects
New paper published in Lumoinescence — Oxide Glass‐Based Phosphors for White Light Emitting Diodes: Current Status, Challenges, and Future Perspective.
New pipeline designed — LitraX — local RAG pipeline for automated materials science literature mining — successfully deployed and tuned.
New paper published in Digital Discovery — An improved machine learning strategy using structural features to predict the glass transition temperature of oxide glasses
Get in touch
Satwinder Singh Danewalia
Assistant Professor
Department of Physics and Materials Science
Thapar Institute of Engineering and Technology
Patiala, Punjab 147004, India
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