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This study optimizes 28 nm planar MOSFET technology to reduce device leakage current and enhance switching speed. The specific aims are to decrease subthreshold swing (S.S.) and mitigate drain induced barrier lowering (DIBL) effect. Silvaco…

Recently several device and circuit design techniques have been explored for applying nano-magnets and spin torque devices like spin valves and domain wall magnets in computational hardware. However, most of them have been focused on…

Disordered Systems and Neural Networks · Physics 2013-08-26 Mrigank Sharad , Charles Augustine , Kaushik Roy

Current-induced spin-orbit torque (SOT) has emerged as a promising method for achieving energy-efficient magnetization switching in advanced spintronic devices. However, technological advancement has been inadequate because an external…

Mesoscale and Nanoscale Physics · Physics 2025-01-23 Badsha Sekh , Hasibur Rahaman , Ramu Maddu , Pinkesh Kumar Mishra , Tianli Jin , S. N. Piramanayagam

Probabilistic machine learning enabled by the Bayesian formulation has recently gained significant attention in the domain of automated reasoning and decision-making. While impressive strides have been made recently to scale up the…

Emerging Technologies · Computer Science 2020-04-22 Kezhou Yang , Akul Malhotra , Sen Lu , Abhronil Sengupta

Spin waves are propagating disturbances in magnetically ordered materials, analogous to lattice waves in solid systems and are often described from a quasiparticle point of view as magnons. The attractive advantages of Joule-heat-free…

Mesoscale and Nanoscale Physics · Physics 2017-03-14 Sourav Dutta , Dmitri E. Nikonov , Sasikanth Manipatruni , Ian A. Young , Azad Naeemi

Antiferromagnetic materials have a vanishingly small net magnetization, which generates weak dipolar fields and makes them robust against external magnetic perturbation and rapid magnetization dynamics, as dictated by the geometric mean of…

Materials Science · Physics 2024-11-19 Ankit Shukla , Siyuan Qian , Shaloo Rakheja

Skyrmions are prospected as the potential future of data storage due to their topologically protected spin structures. However, traditional ferromagnetic (FM) skyrmions experience deflection when driven with an electric current, hindering…

Materials Science · Physics 2023-05-08 Amal Aldarawsheh , Moritz Sallermann , Muayad Abusaa , Samir Lounis

Most materials freeze when cooled to sufficiently low temperature. We find that magnetic dipoles randomly distributed in a solid matrix condense into a spin liquid with spectral properties on cooling that are the diametric opposite of those…

Condensed Matter · Physics 2009-11-10 S. Ghosh , R. Parthasarathy , T. F. Rosenbaum , G. Aeppli

We propose that underdoped high $T_c$ superconductors are described by an algebraic spin liquid (ASL) at high energies, which undergoes a spin-charge recombination transition at low energies. The spin correlation in the ASL is calculated…

Strongly Correlated Electrons · Physics 2009-11-07 Walter Rantner , Xiao-Gang Wen

The Technical Committee of the IEEE Magnetics Society has selected 7 research topics to develop their roadmaps, where major developments should be listed alongside expected timelines; (i) hard disk drives, (ii) magnetic random access…

We propose the utilization of isotropic forward volume magneto-static spin waves in modern wave-based logic devices and suggest a concrete design for a spin-wave majority gate operating with these waves. We demonstrate by numerical…

Mesoscale and Nanoscale Physics · Physics 2015-06-08 Stefan Klingler , Philipp Pirro , Thomas Brächer , Britta Leven , Burkard Hillebrands , Andrii V. Chumak

Topologically stable magnetic skyrmion has a much lower depinning current density that may be useful for memory as well as neuromorphic computing. However, skyrmion-based devices suffer from the Magnus force originating from the skyrmion…

Mesoscale and Nanoscale Physics · Physics 2022-11-15 Debasis Das , Yunuo Cen , Jianze Wang , Xuanyao Fong

Ising spin model is considered as an efficient computing method to solve combinatorial optimization problems based on its natural tendency of convergence towards low energy state. The underlying basic functions facilitating the Ising model…

Emerging Technologies · Computer Science 2016-09-27 Yong Shim , Akhilesh Jaiswal , Kaushik Roy

Spintronic-based brain-inspired neuromorphic computing has recently attracted significant attention due to the exceptional properties of magnetic microstructures, including nanoscale dimensions, high stability, and low energy consumption.…

Computational Physics · Physics 2025-12-05 Anmol Sharma , Ranjeet Kumar Brajpuriya , Vivek K. Malik , Vishakha Kaushik , Sachin Pathak

Split learning (SL) is a promising approach for training artificial intelligence (AI) models, in which devices collaborate with a server to train an AI model in a distributed manner, based on a same fixed split point. However, due to the…

Machine Learning · Computer Science 2025-03-14 Zuguang Li , Wen Wu , Shaohua Wu , Wei Wang

The next significant step in the evolution and proliferation of artificial intelligence technology will be the integration of neural network (NN) models within embedded and mobile systems. This calls for the design of compact, energy…

Machine Learning · Computer Science 2020-02-05 Elham Azari , Sarma Vrudhula

Biologically-inspired computing models have made significant progress in recent years, but the conventional von Neumann architecture is inefficient for the large-scale matrix operations and massive parallelism required by these models. This…

Hardware Architecture · Computer Science 2025-09-23 Siqing Fu , Lizhou Wu , Tiejun Li , Chunyuan Zhang , Jianmin Zhang , Sheng Ma

Single-electronics and spintronics are among the most intensively investigated potential complements or alternatives to CMOS electronics. Single-electronics, which is based on the discrete charge of the electron, is the ultimate in…

Altermagnets, a newly discovered class of magnets, integrate the advantages of both ferromagnets and antiferromagnets, such as enabling anomalous transport without stray fields and supporting ultrafast spin dynamics, offering exciting…

Mesoscale and Nanoscale Physics · Physics 2026-01-05 Xian-Peng Zhang , Run-Wu Zhang , Xiaolong Fan , Wanxiang Feng , Xiangrong Wang , Yugui Yao

Significant scientific and technological progress in the field of spintronics is based on trilayer magnetic tunnel junction devices which principally rely on the physics of single barrier tunneling. While technologically relevant devices…

Mesoscale and Nanoscale Physics · Physics 2019-11-14 Abhishek Sharma , Ashwin. A. Tulapurkar , Bhaskaran Muralidharan