The more physicists use artificial intelligence and machine learning, the more important it becomes for them to understand why the technology works and when it fails.
Spin-triplet topological superconductors should exhibit many unprecedented electronic properties, including fractionalized electronic states relevant to quantum information processing. Although UTe2 may embody such bulk topological superconductivity1–11, its superconductive order parameter Δ(k) remains unknown12. Many diverse forms for Δ(k) are physically possible12 in such heavy fermion materials13. Moreover, intertwined14,15 density waves of spin (SDW), charge (CDW) and pair (PDW) may interpose, with the latter exhibiting spatially modulating14,15 superconductive order parameter Δ(r), electron-pair density16–19 and pairing energy gap17,20–23. Hence, the newly discovered CDW state24 in UTe2 motivates the prospect that a PDW state may exist in this material24,25. To search for it, we visualize the pairing energy gap with μeV-scale energy resolution using superconductive scanning tunnelling microscopy (STM) tips26–31. We detect three PDWs, eac
The Ministry of Power in its draft Electricity (Amendment) Rules, 2023, has asked the state governments to pass on 50 per cent of the loss incurred by Discoms to consumers and has sought the comments of the states by May 1.