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Ram Sewak

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Articles

Atomistic Simulation and Symbolic Regression Reveal Design Rules Linking Blend Morphology to Photovoltaic Performance in PM6:NFA Solar Cells Click to copy article link Article link copied!

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By Bibhas Das, Ram Sewak, Anirban Mondal
| ACS Publications
Abstract Click to copy section linkSection link copied! The performance of non-fullerene-acceptor (NFA) organic solar cells is governed by the nanoscale donor–acceptor morphology of the active layer, yet quantitative design rules linking molecular packing to device metrics remain limited. Here, we integrate fully atomistic molecular dynamics simulations with symbolic-regression-based machine learning to derive interpretable morphology–performance relationships for PM6:NFA blends.
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Composition-Dependent Li-Ion Transport in Mixed-Metal ZIF-62 Glasses Revealed by Machine-Learning Molecular Dynamics Click to copy article link Article link copied!

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By Ram Sewak, Anirban Mondal
| dx.doi.org
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Unveiling Copper Vanadium Sulfide Nanocrystals as a Next‐Generation Electrocatalyst for Selective Nitrate Remediation to Ammonia

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By Smruti Sourav, Jit Satra, Ram Sewak, Ujjwala. P. Thayyil
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request.
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