3 papers
cond-mat.mtrl-sci2026
Physics-Informed Neural Networks for Sparse Strain-Field Reconstruction in 4D-STEM
Roberto dos Reis, Gabriel T. dos Santos, Yukun Liu +2
Quantitative strain mapping using four-dimensional scanning transmission electron microscopy (4D-STEM) typically requires densely sampled scans that can damage beam-sensitive speci…
cond-mat.mtrl-sci2026
Physics-Constrained Learning of Dose-Dependent Spectral Degradation in Metal--Organic Frameworks from In Situ Low-Loss EELS
Gabriel T. dos Santos, Roberto dos Reis, Vinayak P. Dravid
Electron-beam irradiation limits atomic-resolution characterization of beam-sensitive hybrid materials, yet quantitative models that connect \textit{in situ} spectroscopy to dose-d…
quant-ph2026
Microstructural Topology as a Prescriptor for Quantum Coherence: Towards A Unified Framework for Decoherence in Superconducting Qubits
Vinayak P. Dravid, Akshay A. Murthy, Peter Lim +5
In superconducting quantum circuits, decoherence improvements are frequently obtained through process interventions that simultaneously modify surface chemistry, microstructural to…