Decoding THz‐Driven Dynamic Fingerprints of Ferroelectric Nanotwin Networks

. A unique "charging" mode is discovered that can electrically charge and discharge domain walls on ∼4 ps time scale thus dynamically tuning wall conductivity. Integrated experimental and theoretical fingerprinting of the dynamical landscape presented here enables ultrafast control of ferroics for high-speed microelectronics and optical applications.

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Publication Details

Journal
Advanced Materials
Published
2026-05-02
DOI
https://doi.org/10.1002/adma.73118
Primary Topic
Molecular Communication and Nanonetworks
Type
article
Field-Weighted Citation Impact
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article

Decoding THz‐Driven Dynamic Fingerprints of Ferroelectric Nanotwin Networks

Sankalpa Hazra, R. Ramesh, A. M. Lindenberg, Venkatraman Gopalan et al.
Advanced Materials
Molecular Communication and Nanonetworks
article

Decoding THz‐Driven Dynamic Fingerprints of Ferroelectric Nanotwin Networks

Sankalpa Hazra, R. Ramesh, A. M. Lindenberg, Venkatraman Gopalan, Matthias C. Hoffmann, Andrés Ross, Yue Cao, Sujit Das, Lane W. Martin, Vladimir A. Stoica, Haidan Wen, Xiaojiang Li, Hari Padma, Long‐Qing Chen, Sanghoon Song, Huaiyu Hugo Wang, Patrick Kramer, Takahiro Sato, John W Freeland, Silke Nelson, Diling Zhu
article en

Abstract

. A unique "charging" mode is discovered that can electrically charge and discharge domain walls on ∼4 ps time scale thus dynamically tuning wall conductivity. Integrated experimental and theoretical fingerprinting of the dynamical landscape presented here enables ultrafast control of ferroics for high-speed microelectronics and optical applications.

Advanced Materials
Argonne National Laboratory (US), Pennsylvania State University (US), Lawrence Berkeley National Laboratory (US), SLAC National Accelerator Laboratory (US), Linac Coherent Light Source (US), Indian Institute of Science Bangalore (IN), Rice University (US), University of California, Berkeley (US), Stanford University (US)
Openalex Percentile: Top 15%
Molecular Communication and Nanonetworks
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