Follow
Spandan Ranpariya
Spandan Ranpariya
Indian Institute of Information Technology Vadodara (IIIT Vadodara)
Verified email at iiitvadodara.ac.in
Title
Cited by
Cited by
Year
Deep Learning Enabled Early Predicting Cardiovascular Status Using Highly Sensitive Piezoelectric Sensor of Solution‐Processable Nylon‐11
A Babu, S Ranpariya, DK Sinha, A Chatterjee, D Mandal
Advanced Materials Technologies 8 (10), 2202021, 2023
212023
Deep learning enabled perceptive wearable sensor: an interactive gadget for tracking movement disorder
A Babu, S Ranpariya, DK Sinha, D Mandal
Advanced Materials Technologies 8 (14), 2300046, 2023
182023
Machine learning-aided all-organic air-permeable piezoelectric nanogenerator
V Gupta, A Kumar, B Mondal, A Babu, S Ranpariya, DK Sinha, D Mandal
ACS Sustainable Chemistry & Engineering 11 (16), 6173-6182, 2023
112023
Saturation of Hysteretic Effect in Current–Voltage Characteristics of Perovskite Solar Cells
S Ranpariya, DK Sinha
physica status solidi (a) 220 (3), 2200327, 2023
22023
Identifying recombination pathways in perovskite solar cells by simulating temperature-dependent light ideality factor
S Ranpariya, DK Sinha
MRS Advances 6 (12), 334-341, 2021
22021
Machine Learning‐Enabled Nanoscale Phase Prediction in Engineered Poly (Vinylidene Fluoride)
A Babu, BM Abraham, S Naskar, S Ranpariya, D Mandal
Small 20 (51), 2405393, 2024
12024
pn Homojunction perovskite solar cells: effects of ionic density and thickness of the doped layers
S Ranpariya, DK Sinha
Physica Scripta 98 (4), 045013, 2023
12023
Identifying the Recombination Zone in Perovskite Solar Cells
S Ranpariya, DK Sinha
International Workshop on the Physics of Semiconductor and Devices, 237-242, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–8