Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Ravish Kumar Raj

University of Southern Denmark

Denmark

Research Interests

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Collaborators (3)

SONAL SHREYA

VIP, Tenure Track Assistant Professor

Aarhus University

DENMARK

View details

Pernille Klarskov Pedersen

VIP, Associate Professor

Aarhus University

DENMARK

View details

Dhiman Mallick

Assistant Professor, Department of Electrical Engineering, Indian Institute of Technology Delhi

Indian Institute of Technology, Delhi

GLOBAL

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ravish Kumar Raj

Research Interests

Articles (20)

Magnetoresistive Sensors for Emerging Applications: A Comparative Review of Device Performance and Design Trade-Offs

A Low-Power CMOS-Spintronic Neuromorphic Network Based on Vortex Oscillators

Physics-informed analytical modeling of dzyaloshinskii-moriya interaction gradient-driven magnetic skyrmion

Reconfigurable Bio-Plausible Spiking Neurons Based on Antiferromagnetic Skyrmions Utilizing Anisotropy Gradient

Dzyaloshinskii–Moriya interaction gradient driven skyrmion based energy efficient leaky integrate fire neuron

VCMA Gradient-Driven Skyrmion on a Trapezoidal Nanotrack for Racetrack Memory Application

Analytical Approach to Engineer Strain-Gradient for Magnetic Skyrmion-based LeakyIntegrate and Fire Neuronal Dynamics

Synthetic antiferromagnetic skyrmion based neuron and synaptic devices under DMI gradient

Antiferromagnetic skyrmion-based energy-efficient leaky integrate and fire neuron device

SkyNeu: Energy Efficient Antiferromagnetic Skyrmion Based Artificial Neuron for Neuromorphic Computing

Temperature-Robust Frequency-Encoded Spintronic Oscillatory Neural Networks for Energy-Efficient Edge AI

Antiferromagnetic–ferromagnetic heterostructure-based spin Hall nano-oscillator

Energy-efficient synthetic antiferromagnetic skyrmion-based artificial neuronal device

The electron resistance of a single skyrmion within ballistic approach

A spin wave driven skyrmion-based diode on a T-shaped nanotrack

Antiferromagnetic Skyrmion Based Energy-Efficient Integrate-Fire Neuron Device

Leaky-Integrate-Fire Neuron Based on Antiferromagnetic Skyrmion under Strain Gradient

Skyrmion motion under temperature gradient and application in logic devices

Skyrmion-Based Transistor Utilizing Dzyaloshinskii-Moriya Interaction Barrier

Skyrmion-mediated nonvolatile ternary memory

Collaborators (3)

SONAL SHREYA

Pernille Klarskov Pedersen

Dhiman Mallick

Make your next move.