Super-resolution Network Analysis: SuperNet

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Emphasizes the importance of big theory in social sciences when dealing with big data and the need for new conventions in the field.

Introduces inelastic scattering in transmission electron microscopy, focusing on electron energy-loss spectroscopy principles and applications.

Explores Physics-guided NMF for STEM/EDXS data analysis, covering challenges, optimization, constraints, and advantages of the modelization.

Explores protein mass spectrometry techniques, including labeling methods, quantitation, and biomarker discovery.

Covers the microscopic analysis of speckles and their applications in research.

Details an internship project focused on improving code generation accuracy using large language models and a new framework called EPIGEN.

Explores the development of an open-source tool for automated PV hosting capacity quantification in distribution networks using Power Factory.

Delves into the historical development of quantification in physics and society, contrasting positivism with hypothetical realism.

Covers the identification of molecules using antibodies and ELISA techniques for detection and quantification.

Discusses the significance of surface states in mechanical construction and their impact on functionality.