1 citations · 1 across the 6 of their papers we have counts for
6 papers
Inferring Magnetic Material Parameters from Statistical Measures in Strongly Fluctuating Magnetization Dynamics
Kübra Kalkan, Atreya Majumdar, Ross Knapman +5
Magnetic material parameters such as the exchange stiffness and magnetic anisotropy govern the behavior and functionality of magnetic systems, yet their local inference from magnet…
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 +4
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.…
Neuromorphic Spintronics
Atreya Majumdar, Karin Everschor-Sitte
Neuromorphic spintronics combines two advanced fields in technology, neuromorphic computing and spintronics, to create brain-inspired, efficient computing systems that leverage the…
Novel implementations for reservoir computing -- from spin to charge
Karin Everschor-Sitte, Atreya Majumdar, Katharina Wolk +1
Topological textures in magnetic and electric materials are considered to be promising candidates for next-generation information technology and unconventional computing. Here, we…