We are excited to share two new publications highlighting our research at the intersection of advanced manufacturing, data-driven materials research, and energy harvesting!
🔹 Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process–Structure–Property Prediction
J. Ge, A. Vellore, A. Palwe, A. Khan, D. Gorsich, M. P. Castanier, S. Kang, and F. Imani, Information Sciences, 762 (2027), 124237
DOI: [to be updated]
This work explores a graph-structured hyperdimensional computing framework for data-efficient and explainable prediction of process–structure–property relationships in advanced manufacturing.
🔹 Enhancement of Piezo-Electrochemical Energy Harvesting with Scalable Li-ion Battery-Based Distributed Embedded Energy Converters (DEECs)-Tec: Roles of Multi-DEEC Topologies and Laser-Patterning of the Constituting Electrodes
Md. A. Aziz, A. Khan, N. Karan, and S. Kang, iScience, 29(10) (2026)
DOI: 10.1016/j.isci.2026.117319
This work advances our Li-ion battery-based piezo-electrochemical energy harvesting technology, investigating scalable multi-DEEC configurations and laser-patterned electrodes to enhance energy-harvesting performance.
Congratulations to all of our students and collaborators on these exciting publications! 🎉