Author
Listed:
- Yong Hu
(University at Buffalo, The State University of New York)
- Scott Broderick
(University at Buffalo, The State University of New York)
- Zipeng Guo
(University at Buffalo, The State University of New York)
- Alpha T. N’Diaye
(Lawrence Berkeley National Laboratory)
- Jaspal S. Bola
(University of Utah)
- Hans Malissa
(University of Utah)
- Cheng Li
(Oak Ridge National Laboratory)
- Qiang Zhang
(Oak Ridge National Laboratory)
- Yulong Huang
(University at Buffalo, The State University of New York)
- Quanxi Jia
(University at Buffalo, The State University of New York)
- Christoph Boehme
(University of Utah)
- Z. Valy Vardeny
(University of Utah)
- Chi Zhou
(University at Buffalo, The State University of New York)
- Shenqiang Ren
(University at Buffalo, The State University of New York
University at Buffalo, The State University of New York
University at Buffalo, The State University of New York)
Abstract
The convergence of proton conduction and multiferroics is generating a compelling opportunity to achieve strong magnetoelectric coupling and magneto-ionics, offering a versatile platform to realize molecular magnetoelectrics. Here we describe machine learning coupled with additive manufacturing to accelerate the design strategy for hydrogen-bonded multiferroic macromolecules accompanied by strong proton dependence of magnetic properties. The proton switching magnetoelectricity occurs in three-dimensional molecular heterogeneous solids. It consists of a molecular magnet network as proton reservoir to modulate ferroelectric polarization, while molecular ferroelectrics charging proton transfer to reversibly manipulate magnetism. The magnetoelectric coupling induces a reversible 29% magnetization control at ferroelectric phase transition with a broad thermal hysteresis width of 160 K (192 K to 352 K), while a room-temperature reversible magnetic modulation is realized at a low electric field stimulus of 1 kV cm−1. The findings of electrostatic proton transfer provide a pathway of proton mediated magnetization control in hierarchical molecular multiferroics.
Suggested Citation
Yong Hu & Scott Broderick & Zipeng Guo & Alpha T. N’Diaye & Jaspal S. Bola & Hans Malissa & Cheng Li & Qiang Zhang & Yulong Huang & Quanxi Jia & Christoph Boehme & Z. Valy Vardeny & Chi Zhou & Shenqia, 2021.
"Proton switching molecular magnetoelectricity,"
Nature Communications, Nature, vol. 12(1), pages 1-9, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24941-9
DOI: 10.1038/s41467-021-24941-9
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Citations
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Cited by:
- Yong Hu & Jennifer L. Gottfried & Rose Pesce-Rodriguez & Chi-Chin Wu & Scott D. Walck & Zhiyu Liu & Sangeeth Balakrishnan & Scott Broderick & Zipeng Guo & Qiang Zhang & Lu An & Revant Adlakha & Mostaf, 2022.
"Releasing chemical energy in spatially programmed ferroelectrics,"
Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- Yulong Huang & Jennifer L. Gottfried & Arpita Sarkar & Gengyi Zhang & Haiqing Lin & Shenqiang Ren, 2023.
"Proton-controlled molecular ionic ferroelectrics,"
Nature Communications, Nature, vol. 14(1), pages 1-8, December.
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