activity
20222026
most citedDeep Learning Hamiltonians from Disordered Image Data in Quantum Materials

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mes-hall2026

Fluctuation engineering in cavity quantum materials

Hope M Bretscher, Lorenzo Graziotto, Marios H Michael +14

Coupling tailored electromagnetic fluctuations to materials provides a resource for controlling correlated quantum matter. By structuring the frequency, spatial, and modal distribu…

cond-mat.str-el2025

Evidence of electronic states driving current-induced insulator-to-metal transition

V. K. Bhartiya, R. Hartmann, F. Forte +16

On demand current-driven insulator-to-metal transition (IMT) is pivotal for the next generation of energy-efficient and scalable microelectronics. IMT is a key phenomenon observed…

cond-mat.supr-con2025

Enhanced coherent terahertz emission from critical superconducting fluctuations in YBaCuO

D. Nicoletti, M. Rosenberg, M. Buzzi +10

Coherent terahertz (THz) emission is emerging as a powerful new tool to probe symmetry breakings in quantum materials. This method relies on second order optical nonlinearities and…

cond-mat.str-el2024★ 2 cited

Magnetic excitations and absence of charge order in the van der Waals ferromagnet FeGeTe

V. K. Bhartiya, T. Kim, J. Li +12

Understanding the ground state of van der Waals (vdW) magnets is crucial for designing devices leveraging these platforms. Here, we investigate the magnetic excitations and charge…

cond-mat.str-el2022★ 5 cited

Deep Learning Hamiltonians from Disordered Image Data in Quantum Materials

S. Basak, M. Alzate Banguero, L. Burzawa +8

The capabilities of image probe experiments are rapidly expanding, providing new information about quantum materials on unprecedented length and time scales. Many such materials fe…