Materials Engineering
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- Key role of adsorption site abundance in the direct electrochemical co-detection of estradiol and dopamine (2024)
- Lessons learned from combining cellulose films with perovskite solar cells (2026)
- Leveraging active learning-enhanced machine-learned interatomic potential for efficient infrared spectra prediction (2025)
- Limitations of Fast Charging of High Energy NMC-based Lithium-Ion Batteries: A Numerical Study (2023)
- Linear optical properties of organic microcavity polaritons with non-Markovian quantum state diffusion (2024)
- Linear optical properties of organic microcavity polaritons with non-Markovian quantum state diffusion (2024)
- Machine learning accelerated descriptor design for catalyst discovery in CO2 to methanol conversion (2025)
- Machine learning as a tool to engineer microstructures: Morphological prediction of tannin-based colloids using Bayesian surrogate models (2022)
- Machine Learning Optimization of Lignin Properties in Green Biorefineries (2022)
- Machine learning sparse tight-binding parameters for defects (2022)
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