Cover Image

Reinforcement learning for spin torque oscillator tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mojsiejuk, Jakub, Ziętek, Sławomir, Skowroński, Witold
Format:	Preprint
Published:	2025
Subjects:	Applied Physics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards mutual synchronization of serially connected Spin Torque Oscillators based on magnetic tunnel junctions
by: Rzeszut, Piotr, et al.
Published: (2023)

Substrate-induced spin-torque-like signal in spin-torque ferromagnetic resonance measurement
by: Jiang, Dingsong, et al.
Published: (2024)

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
by: Yi, Letian, et al.
Published: (2025)

CHLU: The Causal Hamiltonian Learning Unit as a Symplectic Primitive for Deep Learning
by: Jawahar, Pratik, et al.
Published: (2026)

AIFL: A Global Daily Streamflow Forecasting Model Using Deterministic LSTM Pre-trained on ERA5-Land and Fine-tuned on IFS
by: Taccari, Maria Luisa, et al.
Published: (2026)

AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
by: Hettige, Kethmi Hirushini, et al.
Published: (2024)

Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting
by: Żarski, Mateusz, et al.
Published: (2025)

Path Integral Solution for Dissipative Generative Dynamics
by: Wang, Xidi
Published: (2025)

Multi-Task Deep Learning for Surface Metrology
by: Kucharski, D., et al.
Published: (2025)

Inverse Design in Nanophotonics via Representation Learning
by: Marzban, Reza, et al.
Published: (2025)

Do Quantum Neural Networks have Simplicity Bias?
by: Pointing, Jessica
Published: (2024)

Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts
by: Mousavi, S. Mostafa, et al.
Published: (2024)

Training all-mechanical neural networks for task learning through in situ backpropagation
by: Li, Shuaifeng, et al.
Published: (2024)

Suppressing Modulation Instability with Reinforcement Learning
by: Kalmykov, Nikolay, et al.
Published: (2024)

Towards Efficient and Stable Ocean State Forecasting: A Continuous-Time Koopman Approach
by: Grozavescu, Rares, et al.
Published: (2026)

Physics-Informed Neural Systems for the Simulation of EUV Electromagnetic Wave Diffraction from a Lithography Mask
by: Es'kin, Vasiliy A., et al.
Published: (2026)

Fully Analog Resonant Recurrent Neural Network via Metacircuit
by: Zhou, Zixin, et al.
Published: (2026)

SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
by: Babu, Anand
Published: (2024)

Automotive Crash Dynamics Modeling Accelerated with Machine Learning
by: Nabian, Mohammad Amin, et al.
Published: (2025)

Pulse Shape Discrimination Algorithms: Survey and Benchmark
by: Liu, Haoran, et al.
Published: (2025)

Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls
by: Vardhan, Harsh, et al.
Published: (2023)

Physics-Enhanced Multi-fidelity Learning for Optical Surface Imprint
by: Chen, Yongchao
Published: (2023)

Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition
by: Kumar, Anuj, et al.
Published: (2026)

Physics-Informed Neural Networks for Radial Consolidation of Combined Electroosmotic, Vacuum and Surcharge Preloading Considering Smear Effects
by: Li, Dong, et al.
Published: (2026)

Reinforcement learning for quantum processes with memory
by: Lumbreras, Josep, et al.
Published: (2026)

Architectures for Building Agentic AI
by: Nowaczyk, Sławomir
Published: (2025)

Curriculum reinforcement learning with measurable task representation learning
by: Wen, Yongyan, et al.
Published: (2026)

Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
by: Kundu, Akash, et al.
Published: (2024)

Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations
by: Kim, Jiyeon, et al.
Published: (2026)

Evaluating machine learning models for predicting pesticide toxicity to honey bees
by: Adamczyk, Jakub, et al.
Published: (2025)

Spin-wave assisted synchronization in 2D arrays of spin torque oscillators
by: Ai, Fangzhou, et al.
Published: (2024)

FORWARD: Dataset of a forwarder operating in rough terrain
by: Lundbäck, Mikael, et al.
Published: (2025)

LatticeML: A data-driven application for predicting the effective Young Modulus of high temperature graph based architected materials
by: Mishra, Akshansh
Published: (2024)

Bulk spin-orbit torque-driven spin Hall nano-oscillators using PtBi alloys
by: Shashank, Utkarsh, et al.
Published: (2025)

Reinforcement learning-assisted quantum architecture search for variational quantum algorithms
by: Kundu, Akash
Published: (2024)

Photonic restricted Boltzmann machine for content generation tasks
by: Luo, Li, et al.
Published: (2025)

Current-controlled periodic double-polarity reversals in a spin-torque vortex oscillator
by: Chopin, Chloé, et al.
Published: (2023)

Associative memory by virtual oscillator network based on single spin-torque oscillator
by: Imai, Yusuke, et al.
Published: (2023)

Self-Organizing Graph Reasoning Evolves into a Critical State for Continuous Discovery Through Structural-Semantic Dynamics
by: Buehler, Markus J.
Published: (2025)

Nonlocal operator learning for fMRI encoding and decoding tasks
by: Kramer, Andreas, et al.
Published: (2026)