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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Reusability report: Exploring the utility and extensibility of an integrated modelling framework for liquid electrolyte design
Abstract Despite rapid advances in machine learning-driven electrolyte design, the robustness, transferability and applicability of existing models remain insufficiently explored. Yang et al. recently introduced a unified machine learning framework for electrolyte formulation design. The framework adopts a physics-informed architecture that explicitly integrates molecular structural representations with formulation-level compositional information while preserving permutation invariance.
Electronegativity and entropy design of layered oxides for sodium-ion batteries - Nature Communications
Abstract Exploring sodium-ion layered oxides with broad compositional diversity is an important approach for the development of high-performance positive electrodes. Structural chemistry determined by composition plays a decisive role in performance improvement, but the relationship between composition and structure becomes more elusive in complex multi-component systems. Here we propose an electronegativity entropy weight concept to understand entropy-dominated phases formation.
A matrix-confined molecular layer for perovskite photovoltaic modules - Nature
Abstract Metal halide perovskites with remarkable optoelectronic properties have become a competitive candidate for supporting the efficiency progression of photovoltaics. As the latest record on power conversion efficiency (PCE) of research-cells being comparable to the commercialized silicon cells1-3, the industrialization of perovskite solar cells (PSCs) is on the horizon4,5.
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