Indoor Organic Solar Cell for Low-power IoT Devices: Recent Progress, Challenges, and Application

R Suthar, H Dahiya, S Karak… - Journal of Materials …, 2023 - pubs.rsc.org
In the last few years, organic solar cells have emerged with potential applications in
abundant low-power indoor Internet of Things devices, such as smart watches, calculators …

Processability Considerations for Next‐Generation Organic Photovoltaic Materials

X Yang, Y Shao, S Wang, M Chen, B Xiao… - Advanced …, 2023 - Wiley Online Library
The evolution of organic semiconductors for organic photovoltaics (OPVs) has resulted in
unforeseen outcomes. This has provided substitute choices of photoactive layer materials …

Synergistic Plasmonic Responses of Multi-Shaped Au Nanostructures Hybridized with Few-Layer WS2 Nanosheets for Organic Solar Cells

T Abhijith, R Suthar, S Karak - ACS Applied Nano Materials, 2023 - ACS Publications
Raising the photocurrent and successively achieving a high power conversion efficiency
(PCE) in organic solar cells (OSCs) with physically thin photoactive layers is usually a highly …

Machine-learning-guided prediction of photovoltaic performance of non-fullerene organic solar cells using novel molecular and structural descriptors

R Suthar, T Abhijith, S Karak - Journal of Materials Chemistry A, 2023 - pubs.rsc.org
Recent developments in novel conjugated polymer donor and non-fullerene acceptor (NFA)
materials with promising properties have led to an unprecedented increase in the power …

Physics-Informed Machine Learning with Data-Driven Equations for Predicting Organic Solar Cell Performance

R Khatua, B Das, A Mondal - ACS Applied Materials & Interfaces, 2024 - ACS Publications
Organic solar cells (OSCs) have emerged as a promising solution in pursuing sustainable
energy. This study presents a comprehensive approach to advancing OSC development by …

Predictive Modeling and Design of Organic Solar Cells: A Data-Driven Approach for Material Innovation

B Das, A Mondal - ACS Applied Energy Materials, 2024 - ACS Publications
We present a robust machine learning methodology to accurately predict key photovoltaic
parameters in organic solar cells (OSCs). Our approach involves curating a comprehensive …

Solution-Processed Co3O4-Based Hole Transport Layer for Nonfullerene Organic Solar Cells

H Dahiya, R Suthar, MK Singh, R Singhal… - ACS Applied …, 2024 - ACS Publications
The imperative for achieving commercial success in organic solar cells (OSCs) lies in their
efficient and stable operation within open-air environments, which enables large-scale …

On the Performance Limits of Agrivoltaics—From Thermodynamic to Geo‐Meteorological Considerations

AM Kay, DB Riley, OJ Sandberg, G Burwell… - Solar …, 2024 - Wiley Online Library
As the world strives toward its net‐zero targets, innovative solutions are required to reduce
carbon emissions across all industrial sectors. One approach that can reduce emissions …

Exploiting Mechanism of Enhanced Charge Transfer in Ternary Organic Solar Cells at Low Energy Loss

H Dahiya, R Suthar, MK Singh, S Karak… - Solar RRL, 2024 - Wiley Online Library
The structural disorder and aggregation of the third acceptor with the host active layer are
critical in the light absorption, film morphology, and charge‐carrier mechanism of their …

Unveiling the thermal stability of diketopyrrolopyrrole-based terpolymers: a key element for enhanced efficiency and stability of organic solar cells

LT Nchinda, Z Genene, W Mammo… - New Journal of …, 2024 - pubs.rsc.org
With the advent of novel polymers, organic solar cell (OSC) research has evolved
significantly over the past decade. The molecular engineering of terpolymers has allowed for …