Adithya Kumar
Institut de Nanociència i Nanotecnologia de la Universitat de Barcelona
Publications by Year
Research Areas
Machine Learning in Materials Science, Fuel Cells and Related Materials, Conducting polymers and applications, Artificial Intelligence in Healthcare, Machine Learning and Data Classification
Most-Cited Works
- → Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers(2024)12 cited
- → Revisiting Reliability in Large-Scale Machine Learning Research Clusters(2025)10 cited
- → Binder-free integration of Ti3C2 MXene on graphene nanowalls-coated carbon felt for hydrogen evolution catalysis(2025)5 cited
- → Diagnosis of doped conjugated polymer films using hyperspectral imaging(2023)3 cited
- → SynapseCare: Machine Learning Based HealthRiskAssessment and Personalized Feedback System(2025)
- → Explainable Machine Learning to Enable High-Throughput Electrical Conductivity Optimization of Doped Conjugated Polymers(2023)
- → Enabling high-throughput electrical conductivity optimization of doped conjugated polymers using explainable machine learning(2022)