Materials Engineering
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5 of 23
- Compositional engineering of perovskites with machine learning (2022)
- Computational Evaluation of Redox Potentials of Metal Complexes for Aqueous Flow Batteries (2025)
- Computational simulation of perovskite and silicon solar panel operating temperatures in varying ambient conditions (2025)
- Construction of Reverse Type-II InP/ZnxCd1–xS Core/Shell Quantum Dots with Low Interface Strain to Enhance Photocatalytic Hydrogen Evolution (2024)
- Data digitalization strategies for AI-driven experimentation (2024)
- Data-driven multimodal XPS study of molecular adsorbates on atmospheric aerosol nanoparticles (2024)
- Decoding Surface Adsorption Chemistry with Active Learning (2024)
- Decoherence and reservoir engineering in linear optical systems (2023)
- Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions (2025)
- Density functional theory and machine learning for electrochemical square-scheme prediction: an application to quinone-type molecules relevant to redox flow batteries (2023)
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