3 papers
cs.LG2025
Perturbative Gradient Training: A novel training paradigm for bridging the gap between deep neural networks and physical reservoir computing
Cliff B. Abbott, Mark Elo, Dmytro A. Bozhko
We introduce Perturbative Gradient Training (PGT), a novel training paradigm that overcomes a critical limitation of physical reservoir computing: the inability to perform backprop…
cond-mat.mtrl-sci2025
Low Spontaneous Brillouin Scattering in Anti-Resonant Hollow-Core Fibers in GHz Frequency Range
Ryan E. Dunagin, Robbie Mears, Dario Bueno-Baques +6
Brillouin light scattering (BLS) is a powerful experimental tool that can be used to get insights into the fundamental and applied properties of matter, like dispersions of quasipa…
cond-mat.other2016
On supercurrents in Bose-Einstein magnon condensates in YIG ferrimagnet
Dmytro A. Bozhko, Alexander A. Serga, Peter Clausen +4
Recently E. Sonin commented [1] on our preprint "Supercurrent in a room temperature Bose-Einstein magnon condensate" [2,3], arguing that our "claim of detection of spin supercurren…