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相关论文: Accurate force field of two-dimensional ferroelect…

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Ferroelectric materials can switch their polarization in response to an applied electric field. In this work, ferroelectricity at the single molecule level is proposed and investigated using density functional theory (DFT) calculations.…

应用物理 · 物理学 2017-05-30 Xinfeng Quan , Geoffrey R. Hutchison

Ferroelectricity and metallicity are usually believed not to coexist because conducting electrons would screen out static internal electric fields. In 1965, Anderson and Blount proposed the concept of 'ferroelectric metal', however, it is…

材料科学 · 物理学 2020-09-22 Xing-Yu Ma , Hou-Yi Lyu , Kuan-Rong Hao , Yi-Ming Zhao , Xiaofeng Qian , Qing-Bo Yan , Gang Su

Ga2O3 is a wide-band-gap semiconductor of great interest for applications in electronics and optoelectronics. Two-dimensional (2D) Ga2O3 synthesized from top-down or bottom-up processes can reveal brand new heterogeneous structures and…

Two-dimensional (2D) ferroelectrics, which is rare in nature, enable high-density non-volatile memory with low energy consumption. Here, we propose a theory of bilayer stacking ferroelectricity (BSF), in which, two stacked layers of the…

材料科学 · 物理学 2023-04-19 Junyi Ji , Changsong Xu , H. J. Xiang

Ferroelectricity is intriguing for its spontaneous electric polarization, which is switchable by an external electric field. Expanding ferroelectric materials to two-dimensional limit will provide versatile applications for the development…

介观与纳米尺度物理 · 物理学 2024-04-05 Le Zhang , Jing Ding , Hanxiao Xiang , Naitian Liu , Wenqiang Zhou , Linfeng Wu , Na Xin , Kenji Watanabe , Takashi Taniguchi , Shuigang Xu

A ferroelectric is a material with a polar structure whose polarity can be reversed by applying an electric field. In metals, the itinerant electrons tend to screen electrostatic forces between ions, helping to explain why polar metals are…

Sliding ferroelectrics built from stacked nonpolar monolayers enable out-of-plane polarization and unconventional switching via interlayer sliding, yet the microscopic sliding dynamics remain unclear. Using machine-learning molecular…

材料科学 · 物理学 2026-04-23 Jia-Wen Li , Sheng Meng , Xinghua Shi , Jin Zhang , Wei-Hai Fang

When the atomic layers in a non-centrosymmetric van der Waals structure slide against each other, the interfacial charge transfer results in a reversal of the structures spontaneous polarization. This phenomenon is known as sliding…

The driving of vibrational motion by external electric fields is a topic of continued interest, due to the possibility of assessing new or metastable material phases with desirable properties. Here, we combine ab initio molecular dynamics…

材料科学 · 物理学 2025-09-15 Elia Stocco , Christian Carbogno , Mariana Rossi

Two-dimensional ferroelectric materials are beneficial for power-efficient memory devices and transistor applications. Here, we predict out-of-plane ferroelectricity in a new family of buckled metal oxide (MO; M: Ge, Sn, Pb) monolayers with…

应用物理 · 物理学 2024-10-28 Ateeb Naseer , Musaib Rafiq , Somnath Bhowmick , Amit Agarwal , Yogesh Singh Chauhan

In the realm of modern materials science and advanced electronics, ferroelectric materials have emerged as a subject of great intrigue and significance, chiefly due to their remarkable property of reversible spontaneous polarization. This…

材料科学 · 物理学 2025-07-31 Kai Kong , Qiang Wang , Yixuan Li , Yitong Liang

Field-induced domain wall dynamics in ferroelectric materials underpins multiple applications ranging from actuators to information technology devices and necessitates a quantitative description of the associated mechanisms including giant…

无序系统与神经网络 · 物理学 2021-05-18 Yongtao Liu , Roger Proksch , Chun Yin Wong , Maxim Ziatdinov , Sergei V. Kalinin

Going beyond the bistability paradigm of the charge polarizations in ferroelectrics is highly desired for ferroelectric (FE) memory devices toward ultra-high-density information storage. Here, we propose to build multistates by combining…

材料科学 · 物理学 2025-03-03 Chuhan Tang , Zhiqiang Tian , Tao Ouyang , Anlian Pan , Mingxing Chen

As machine learning becomes increasingly important in engineering and science, it is inevitable that machine learning techniques will be applied to the investigation of materials, and in particular the structural phase transitions common in…

材料科学 · 物理学 2021-03-30 Jiale Zhang , Danni Wei , Feng Zhang , Xi Chen , Dawei Wang

Two-dimensional ferroelectrics can maintain vertical polarization up to room temperature, and are, therefore, promising for next-generation nonvolatile memories. Although natural two-dimensional ferroelectrics are few, moir\'{e}…

介观与纳米尺度物理 · 物理学 2024-04-30 Renjun Du , Jingkuan Xiao , Di Zhang , Xiaofan Cai , Siqi Jiang , Fuzhuo Lian , Kenji Watanabe , Takashi Taniguchi , Lei Wang , Geliang Yu

Materials with reduced dimensions have been shown to host a wide variety of exotic properties and novel quantum states that often defy textbook wisdom1-5. Ferroelectric polarization and metallicity are well-known examples of mutually…

Nanoscaled room-temperature ferroelectricity is ideal for developing advanced non-volatile high-density memories. However, reaching the thin film limit in conventional ferroelectrics is a long-standing challenge due to the possible critical…

材料科学 · 物理学 2018-10-15 Siyuan Wan , Yue Li , Wei Li , Xiaoyu Mao , Wenguang Zhu , Hualing Zeng

Fluorite ferroelectrics are exciting candidates for next-generation non-volatile memory devices because their unique ferroelectric mechanism, which arises from unconventional oxygen displacements, permits ferroelectricity with minimal…

With the advent of increasingly elaborate experimental techniques in physics, chemistry and materials sciences, measured data are becoming bigger and more complex. The observables are typically a function of several stimuli resulting in…

Two-dimensional (2D) multiferroics exhibit cross-control capacity between magnetic and electric responses in reduced spatial domain, making them well suited for next-generation nanoscale devices; however, progress has been slow in…

材料科学 · 物理学 2020-05-15 Jing Shang , Chun Li , Aijun Du , Ting Liao , Yuantong Gu , Yandong Ma , Liangzhi Kou , Changfeng Chen