Investigation of Opto‐magnetic Memory Effects in Antiferromagnetic CuMnAs Using Ultrafast Heat Dynamics and Quench Switching

Abstract Solving complex tasks in a modern information‐driven society requires novel materials and concepts for energy‐efficient hardware. Antiferromagnets offer a promising platform for seeking such approaches due to their exceptional features: low‐power consumption and possible high integration density are desirable for information storage and processing or applications in unconventional computing. Among antiferromagnets, CuMnAs stands out for atomic‐level scalable magnetic textures, analogue multilevel storage capability, and the magnetic state's control by a single electrical or femtosecond laser pulse. Using a pair of excitation laser pulses, this work examines functionalities of CuMnAs favorable for information processing, readily incorporating two principles of distinct characteristic timescales. Laser‐induced transient heat dynamics at sub‐nanosecond times represents the short‐term memory and causes resistance switching due to quenching into a magnetically fragmented state. This quench switching, detectable electrically from ultrashort times to hours after writing, reminisces the long‐term memory. The versatility of the principles' combination is demonstrated by antiferromagnetic in‐memory operations. Temporal latency coding is utilized to encode data from a grayscale image into sub‐nanosecond pulse delays. Applying input laser pulses of distinct amplitudes then allows for determining their relative order at 100‐ps timescales. The results open pathways for ultrafast information processing employing antiferromagnetic memory devices.

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Publication Details

Journal
Advanced Electronic Materials
Published
2025-05-22
DOI
https://doi.org/10.1002/aelm.202400835
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

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article

Investigation of Opto‐magnetic Memory Effects in Antiferromagnetic CuMnAs Using Ultrafast Heat Dynamics and Quench Switching

Andrej Farkaš, F. Trojánek, K. Olejník, Filip Křížek et al.
1 citations
Advanced Electronic Materials
Advanced Memory and Neural Computing
0.73
article

Investigation of Opto‐magnetic Memory Effects in Antiferromagnetic CuMnAs Using Ultrafast Heat Dynamics and Quench Switching

Andrej Farkaš, F. Trojánek, K. Olejník, Filip Křížek, Peter Kubaščík, T. Jungwirth, V. Novák, Zdeněk Kašpar, Miloslav Surýnek, R. P. Campion, Jan Zubáč, Lukáš Nádvorník, Petr Němec
article en
1 citations

Abstract

Abstract Solving complex tasks in a modern information‐driven society requires novel materials and concepts for energy‐efficient hardware. Antiferromagnets offer a promising platform for seeking such approaches due to their exceptional features: low‐power consumption and possible high integration density are desirable for information storage and processing or applications in unconventional computing. Among antiferromagnets, CuMnAs stands out for atomic‐level scalable magnetic textures, analogue multilevel storage capability, and the magnetic state's control by a single electrical or femtosecond laser pulse. Using a pair of excitation laser pulses, this work examines functionalities of CuMnAs favorable for information processing, readily incorporating two principles of distinct characteristic timescales. Laser‐induced transient heat dynamics at sub‐nanosecond times represents the short‐term memory and causes resistance switching due to quenching into a magnetically fragmented state. This quench switching, detectable electrically from ultrashort times to hours after writing, reminisces the long‐term memory. The versatility of the principles' combination is demonstrated by antiferromagnetic in‐memory operations. Temporal latency coding is utilized to encode data from a grayscale image into sub‐nanosecond pulse delays. Applying input laser pulses of distinct amplitudes then allows for determining their relative order at 100‐ps timescales. The results open pathways for ultrafast information processing employing antiferromagnetic memory devices.

Advanced Electronic MaterialsVol. 11(9)
University of Nottingham (GB), Charles University (CZ), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ)
Univerzita Karlova v Praze, Grantová Agentura, Univerzita Karlova, Ministerstvo Školství, Mládeže a Tělovýchovy, Grantová Agentura České Republiky, European Research Council
Openalex Percentile: Top 28%
Advanced Memory and Neural Computing
0.73
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