From the 1 of 4 linked papers with an AI index.
4 papers
Inferring Magnetic Material Parameters from Statistical Measures in Strongly Fluctuating Magnetization Dynamics
Kübra Kalkan, Atreya Majumdar, Ross Knapman +5
The paper presents a method that uses statistical descriptors of thermally driven magnetization dynamics, especially latent entropy, to infer local magnetic material parameters suc…
Photo-induced currents and short-term memory for reservoir computing in a ferroelectric semiconductor
Yan Meng Chong, Atreya Majumdar, Manuel Zahn +3
Physical reservoir computing represents an energy efficient approach for processing temporal signals by exploiting the intrinsic nonlinear dynamics and fading memory of a physical…
Defect Detection in Magnetic Systems Using U-Net and Statistical Measures
Ross Knapman, Atreya Majumdar, Nasim Bazazzadeh +5
Local material inhomogeneities can strongly influence magnetization dynamics and macroscopic magnetic properties, yet detecting such defects from magnetic imaging data remains chal…
Leveraging Interactions for Efficient Swarm-Based Brownian Computing
Alessandro Pignedoli, Atreya Majumdar, Karin Everschor-Sitte
Drawing inspiration from swarm intelligence, we show that short-range attractive interactions between thermally driven Brownian quasiparticles enable energy-efficient optimization.…