Magnetism for Emergent Technologies, Devices, and Applications
FOCUS · MAR-J41 · ID: MAR-J41
Presentations
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Elastic Magnetic Materials and Sensors for Tactile Perception
Invited-In-person · Invited
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Publication: [1] Jiafeng Wu, Huali Yang …, Run-Wei Li. Review of Materials Research. 1, 100110 (2025).
[2] Lili Pan, Yali Xie*, Huali Yang*, ..., Run-Wei Li*. ACS Nano 19, 5699 (2025).
[3] Huali Yang, Shengbin Li, Yuanzhao Wu*, ..., Yiwei Liu*, Run-Wei Li*. Adv. Mater. 36, 202311996 (2024).
[4] Xilai Bao, Huali Yang*, Yali Xie*, ..., Denys Makarov*, Run-Wei Li*. Adv. Funct. Mater. 34, 2409844 (2024).
[5] Mengchao Li, Huali Yang*, Yali Xie*, ..., Run-Wei Li*, Nano Lett. 23, 8073 (2023).
[6] Huiyun Xiao, …, Denys Makarov*, Yiwei Liu*, and Run-Wei Li*. Adv. Funct. Mater. 2214907 (2023).
[7] Shengbin Li, ..., Yuanzhao Wu*, ..., Yiwei Liu*, ..., Denys Makarov*, Run-Wei Li*. Nano Energy 92, 106754 (2022).
[8] Ping Sheng, Yali Xie, Yuhao Bai*, Baomin Wang*, ..., Run-Wei Li*. Appl. Phys. Lett. 115, 242403 (2019).
[9] Yuanzhao Wu, Yiwei Liu*, ..., Run-Wei Li*. Science Robotics 3, eaat0429 (2018).
[10] Xingcheng Wen, Baomin Wang*, ..., Run-Wei Li*. Appl. Phys. Lett. 111, 142403 (2017).
[11] Xinyu Qiao, ..., Baomin Wang*, ..., Xiaohong Xu*, Run-Wei Li*. Appl. Phys. Lett. 111, 132405 (2017).
[12] Huihui Li, Qingfeng Zhan*, ..., Run-Wei Li*. ACS Nano 4, 4403 (2016).
[13] Guohong Dai, Qingfeng Zhan*, ..., Run-Wei Li*. Appl. Phys. Lett. 100, 122407 (2012).Presenters
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Run-Wei Li
- Eastern Institute of Technology, Ningbo
Authors
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Run-Wei Li
- Eastern Institute of Technology, Ningbo
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Probabilistic Processing-in-Memory Computation Enabled by Heterogeneous Magnetic Tunnel Junctions
Oral-In-person
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Publication: 1. Koh, Dooyong, et al. "Closed Loop Superparamagnetic Tunnel Junctions for Reliable True Randomness and Generative Artificial Intelligence." Nano Letters 25.10 (2025): 3799-3806.
2. Koh, Dooyong, et al. "Stochastic nanomagnets as current digitizers for efficient probabilistic machine learning." Physical Review Applied 24.4 (2025): 044012.
3. Wang, Qiuyuan, et al. "Probabilistic Processing-in-Memory Computation Enabled by Heterogeneous Magnetic Tunnel Junctions" PlannedPresenters
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Qiuyuan Wang
- Massachusetts Institute of Technology
Authors
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Qiuyuan Wang
- Massachusetts Institute of Technology
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Dooyong Koh
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Brooke McGoldrick
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Marc Baldo
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Luqiao Liu
- Massachusetts Institute of Technology
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From Hysteresis to Linearity: Intrinsic Low-Field Sensitivity of Magnetic Tunnel Junctions
Oral-In-person
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Presenters
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Benjamin Brown
- Brown University
Authors
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Benjamin Brown
- Brown University
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Liam Mitchell
- Brown University
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Hongzhou Yu
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Gang Xiao
- Brown University
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Uniaxial and vortex-state magnetic tunnel junction sensors for cryogenic quantum applications
Oral-In-person
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Publication: Manuscript under review to Journal of Physics D: Applied Physics, Special Issue on the 50th Anniversary of the Tunnelling Magnetoresistance Effect.
Presenters
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Liam Mitchell
- Brown University
Authors
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Liam Mitchell
- Brown University
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Benjamin Brown
- Brown University
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Zachary Adamson
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Alexander Zaslavsky
- Brown University
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Gang Xiao
- Brown University
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Searching for High-Performing Magnetic Materials in High-Entropy Space Using Active Learning
Oral-In-person
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Presenters
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Timothy Corbett
- Georgetown University
Authors
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Timothy Corbett
- Georgetown University
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dinesh bista
- Georgetown University
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Willie Beeson
- Georgetown University
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Jerome Jackson
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Amy Liu
- Georgetown University
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Kai Liu
- Georgetown University
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Gen Yin
- Georgetown University
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Vortex-State Dynamics and Noise Scaling in Magnetic Tunnel Junctions for Low-Field Spintronic Applications
Oral-In-person
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Presenters
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Haoyu Wu
- Brown University
Authors
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Haoyu Wu
- Brown University
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Benjamin Brown
- Brown University
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Liam Mitchell
- Brown University
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Gang Xiao
- Brown University
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Octupole-driven spin-transfer torque switching of all-antiferromagnetic tunnel junctions
Oral-In-person
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Publication: arXiv:2509.03026
Presenters
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Jaimin Kang
- Northwestern University
Authors
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Jaimin Kang
- Northwestern University
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Mohammad Hamdi
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Shun Kong Cheung
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Linding Yuan
- Northwestern University
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Mohamed Elekhtiar
- University of Nebraska - Lincoln
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William Rogers
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Andrea Meo
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Peter Lim
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M.S. Nicholas Tey
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Anthony D'Addario
- Cornell University
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Shiva Teja Konakanchi
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Eric Matt
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Jordan Athas
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Sevdenur Arpaci
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Pramey Upadhyaya
- Purdue University
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Mario Carpentieri
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Vinayak Dravid
- Northwestern University
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Mark Hersam
- Northwestern University
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Jordan Katine
- Western Digital Corporation
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Gregory Fuchs
- Cornell University
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Giovanni Finocchio
- University of Messina
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Evgeny Tsymbal
- University of Nebraska - Lincoln
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James Rondinelli
- Northwestern University
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Pedram Khalili Amiri
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Current-driven reversible ferromagnetic to antiferromagnetic transition in thin films and Devices
Oral-In-person
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Presenters
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Suryakanta Mondal
- Indian Institute of Science Bengaluru
Authors
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Suryakanta Mondal
- Indian Institute of Science Bengaluru
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Vinod Kumar
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Sourav Chowdhury
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Bhagwati Prasad
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Solving a 3-spin Combinatorial Optimization Model Using Macrospin-Based LLG Dynamics
Oral-In-person
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Publication: [1] D. Chen, A. D. Kent, D. Sels, and F. Morone, Phys. Rev. Res. 7, 013129 (2025)
Presenters
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Dairong Chen
- New York University (NYU)
Authors
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Dairong Chen
- New York University (NYU)
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Brian Chiang
- New York University (NYU)
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Karlo de Leon
- New York University (NYU)
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Dries Sels
- New York University (NYU)
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Flaviano Morone
- New York University (NYU)
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Andrew Kent
- New York University (NYU)
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Multiscale Approach to Coupled Brownian and Néel Dynamics for Collections of Magnetic Nanoparticles
Oral-In-person
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Presenters
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Jake Howard
- University of Colorado at Colorado Springs
Authors
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Jake Howard
- University of Colorado at Colorado Springs
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Robert Camley
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Samuel Cramer
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Karen Livesey
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LLGD: A Physics-Informed, Hardware-Aware Spin-Dynamics Approach to Deep Neural Network Training
Oral-In-person
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Publication: Planned paper: S. Ghaderi, A. D. Kent, and D. Sels, "LLGD: A Physics-Informed, Hardware-Aware Spin-Dynamics Approach to Deep Neural Network Training," planned manuscript (2025).
Presenters
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Salar Ghaderi
- New York University (NYU)
Authors
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Salar Ghaderi
- New York University (NYU)
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Andrew Kent
- New York University (NYU)
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Dries Sels
- New York University (NYU)
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Flaviano Morone
- New York University (NYU)
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Low-Field Nuclear Magnetic Resonance Force Microscopy of Micro-Fluids
Oral-In-person
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Presenters
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Peter Kampschroeder
- University of Texas at Austin
Authors
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Peter Kampschroeder
- University of Texas at Austin
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Cosmo Miyahara
- University of Texas at Austin
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John Markert
- University of Texas at Austin
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A genetic algorithm for rapid discovery of functional articulating magnetic microrobots
Oral-In-person
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Publication: Kemper, C.C., Kreienbrink, K.M., Tomazin, H.J., Hawkins, K.E., Schwartz, D.K. and Shields, C.W., IV (2025), Rapid Discovery of Sequence-Encoded Magnetically Reconfigurable Microrobots Using Monte Carlo Simulations. Adv. Intell. Syst. 2500222. https://doi.org/10.1002/aisy.202500222
Presenters
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Collin Kemper
- University of Colorado Boulder
Authors
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Collin Kemper
- University of Colorado Boulder
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Kendra Kreienbrink
- University of Colorado - Boulder
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Daniel Schwartz
- University of Colorado, Boulder
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Wyatt Shields
- University of Colorado, Boulder
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