Materials Engineering
- 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)
- Developing an electrochemical sensor for the in vivo measurements of dopamine (2023)
- Developing Solution-Processed Distributed Bragg Reflectors for Microcavity Polariton Applications (2023)
- Dielectric Screening inside Carbon Nanotubes (2024)
- Discrete Events of Ionosomes at the Water/Toluene Micro-Interface (2022)