4 papers
Advancing AI-Driven Analysis in X-ray Absorption Spectroscopy: Spectral Domain Mapping and Universal Models
Nina Cao, Pavan Ravindra, Shubha R. Kharel +6
In recent years, rapid progress has been made in developing artificial intelligence (AI) and machine learning (ML) methods for x-ray absorption spectroscopy (XAS) analysis. Compare…
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra
Shubha R. Kharel, Fanchen Meng, Xiaohui Qu +2
X-ray absorption spectroscopy (XAS) is a powerful characterization technique for probing the local chemical environment of absorbing atoms. However, analyzing XAS data presents sig…
New results on graph matching from degree preserving growth
Péter L. ErdÅs, Shubha R. Kharel, Tamás Róbert Mezei +1
The recently introduced \emph{Degree Preserving Growth} model (Nature Physics, \DOI{10.1038/s41567-021-01417-7}) uses matchings to insert new vertices of prescribed degrees into th…
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence
Shubha R. Kharel, Prashansa Mukim, Piotr Maj +4
Extreme edge-AI systems, such as those in readout ASICs for radiation detection, must operate under stringent hardware constraints such as micron-level dimensions, sub-milliwatt po…