- 2025
PublicationMachine Learning-Driven First-Principles Modeling of Far-Infrared Materials
Ritwik Das. PhD thesis, Université Paris-Saclay, C2N (CNRS). NNT 2025UPAST100
PhysicsAI/MLBayesian optimizationGaussian processesMachine learningDFT+UHybrid functionalsGWInSbInAsSb alloysHeterointerfacesBand alignmentVirtual crystal approximationAlloysInfrared materialsSemiconductors
- PhD, completed 2025
ProjectMachine-learning-driven modeling of far-infrared semiconductors
InSb, InAs, InAsSb alloys and CdTe/InSb heterointerfaces from first principles.
PhysicsElectronicsSemiconductorsInfrared materialsInSbInAsSb alloysHeterointerfacesAlloysDFTDFT+UHybrid functionalsGWDFPTBand alignmentBayesian optimizationMachine learning