Raghvender Raghvender

collaborators

3 papers

cs.LG2026

BattVAE-GP: Generative Modeling of Long-Horizon Battery Degradation with Uncertainty Quantification

Raghvender Raghvender, Mahdi Abid, Ferran Brosa Planella +2

Long-horizon physics-based simulations of battery degradation provide mechanistic insight but remain computationally expensive, limiting their use for dense exploration of operatin…

cond-mat.mtrl-sci2026

AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials

Fayçal Adrar, Nicolas Folastre, Chloé Pablos +7

Na-ion batteries have emerged as viable candidates for large-scale energy storage applica- tions due to resource abundance and cost advantages. The constraints imposed on their per…

cond-mat.mtrl-sci2025

Atomic scale structure and dynamical properties of (TeO $_{2}$ ) $_{1 - x}$ -(Na $_{2}$ O) $_{x}$ glasses through first-principles modeling and XRD measurements

Firas Shuaib, Assil Bouzid, Remi Piotrowski +10

We resort to first-principles molecular dynamics, in synergy with experiments, to study structural evolution and Na $^{+}$ cation diffusion inside (TeO $_{2}$ ) $_{1 - x}$ -(Na $_{2}$ O) $_{x}$ (x…

BattVAE-GP: Generative Modeling of Long-Horizon Battery Degradation with Uncertainty Quantification

AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials

Atomic scale structure and dynamical properties of (TeO2​)1−x​-(Na2​O)x​ glasses through first-principles modeling and XRD measurements

Atomic scale structure and dynamical properties of (TeO $_{2}$ ) $_{1 - x}$ -(Na $_{2}$ O) $_{x}$ glasses through first-principles modeling and XRD measurements