materiaalitekniikka
Yhteystiedot
Henkilöt
Julkaisut
- Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions (2025)
- Demonstrating the Performance of Aspartic‐Acid Functionalized Naphthalene Diimide in a Near‐Neutral Flow Battery (2026)
- 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)
- Development of Naphthalene Diimide–Based Flow Batteries (2025)
- Dielectric Screening inside Carbon Nanotubes (2024)
- Discrete Events of Ionosomes at the Water/Toluene Micro-Interface (2022)
- Durable Copper Nanowires for Flexible Curvature Sensors (2026)
- Easy Access to Bright Oxygen Defects in Biocompatible Single-Walled Carbon Nanotubes via a Fenton-like Reaction (2024)





