High unsaturated room-temperature magnetoresistance in phase-engineered MoxW1−xTe2+δultrathin films

Mathew, Roshan Jesus; Inbaraj, Christy Roshini Paul; Hudie, Shemsia Mohammed; Nikam, Revannath Dnyandeo; Tseng, Chi-Ang; Lee, Chih‐Hao; Chen, Yit‐Tsong

doi:10.1039/c9tc02842k

Cited by 11 publications

(9 citation statements)

References 40 publications

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“…1 d). The results are in accordance with previous WAL data in these family of compounds 64 . The calculated α value − 0.449 confirms the WAL effect in the system.…”

Section: Resultssupporting

confidence: 93%

Defect induced ferromagnetic ordering and room temperature negative magnetoresistance in MoTeP

Pal

Kumar

Shahi

et al. 2021

Sci Rep

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The magneto-transport, magnetization and theoretical electronic-structure have been investigated on type-II Weyl semimetallic MoTeP. The ferromagnetic ordering is observed in the studied sample and it has been shown that the observed magnetic ordering is due to the defect states. It has also been demonstrated that the presence of ferromagnetic ordering in effect suppresses the magnetoresistance (MR) significantly. Interestingly, a change-over from positive to negative MR is observed at higher temperature which has been attributed to the dominance of spin scattering suppression.

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“…1 d). The results are in accordance with previous WAL data in these family of compounds 64 . The calculated α value − 0.449 confirms the WAL effect in the system.…”

Section: Resultssupporting

confidence: 93%

Defect induced ferromagnetic ordering and room temperature negative magnetoresistance in MoTeP

Pal

Kumar

Shahi

et al. 2021

Sci Rep

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“…Recently, Chen et al reported the CVD growth of Mo x W 1−x Te 2 film with the assist of an hBN covered substrate, but probably due to the polycrystalline structure or substrate limit, no superconductivity or Weyl semimetal related properties were observed. 21 Therefore, obtaining high-quality atomic layers with controlled compositions of Mo x W 1−x Te 2 alloy on a normal silicon substrate remains challenging at present. In this work, we report a CVD method to synthesize Mo x W 1−x Te 2 alloy with different thicknesses and tunable stoichiometric ratios of cations Mo/W.…”

Section: Introductionmentioning

confidence: 99%

“…To further broaden the research potential of Mo x W 1– x Te 2 alloy, the chemical vapor deposition (CVD) method which is widely regarded as a facile technology in controllable synthesis and large-scale applications, appears to be a promising alternative for fast and scalable production of thickness-controlled Mo x W 1– x Te 2 alloy. Recently, Chen et al reported the CVD growth of Mo x W 1– x Te 2 film with the assist of an hBN covered substrate, but probably due to the polycrystalline structure or substrate limit, no superconductivity or Weyl semimetal related properties were observed . Therefore, obtaining high-quality atomic layers with controlled compositions of Mo x W 1– x Te 2 alloy on a normal silicon substrate remains challenging at present.…”

Section: Introductionmentioning

confidence: 99%

Controlled Synthesis of Mo_xW_1–xTe₂ Atomic Layers with Emergent Quantum States

Deng

Zhou

et al. 2021

ACS Nano

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“…The following reaction mechanism is proposed to explain the formation of WTe 2 with the Te/W/NaCl mixed powder under the Ar/H 2 atmospheric pressure (Figure A). , …”

Section: Resultsmentioning

confidence: 99%

Machine Learning Driven Synthesis of Few-Layered WTe₂ with Geometrical Control

Xu¹,

Tang²,

Zhu³

et al. 2021

J. Am. Chem. Soc.

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Reducing the lateral scale of two-dimensional (2D) materials to one-dimensional (1D) has attracted substantial research interest not only to achieve competitive electronic device applications but also for the exploration of fundamental physical properties. Controllable synthesis of high-quality 1D nanoribbons (NRs) is thus highly desirable and essential for the further study. Traditional exploration of the optimal synthesis conditions of novel materials is based on the trial-and-error approach, which is time consuming, costly and laborious. Recently, machine learning (ML) has demonstrated promising capability in guiding material synthesis through effectively learning from the past data and then making recommendations. Here, we report the implementation of supervised ML for the chemical vapor deposition (CVD) synthesis of high-quality 1D few-layered WTe2 nanoribbons (NRs). The synthesis parameters of the WTe2 NRs are optimized by the trained ML model. On top of that, the growth mechanism of as-synthesized 1T' fewlayered WTe2 NRs is further proposed, which may inspire the growth strategies for other 1D nanostructures. Our findings suggest that ML is a powerful and efficient approach to aid the synthesis of 1D nanostructures, opening up new opportunities for intelligent material development.

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High unsaturated room-temperature magnetoresistance in phase-engineered Mo_xW_1−xTe_2+δultrathin films

Abstract: Ultrathin Td-Mo0.27W0.71Te2.02 films synthesized using a chemical vapor deposition method exhibit a non-saturating magnetoresistance of 11% at room temperature.

Cited by 11 publications

References 40 publications

Defect induced ferromagnetic ordering and room temperature negative magnetoresistance in MoTeP

Defect induced ferromagnetic ordering and room temperature negative magnetoresistance in MoTeP

Controlled Synthesis of Mo_xW_1–xTe₂ Atomic Layers with Emergent Quantum States

Machine Learning Driven Synthesis of Few-Layered WTe₂ with Geometrical Control

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High unsaturated room-temperature magnetoresistance in phase-engineered MoxW1−xTe2+δultrathin films

Abstract: Ultrathin Td-Mo0.27W0.71Te2.02 films synthesized using a chemical vapor deposition method exhibit a non-saturating magnetoresistance of 11% at room temperature.

Cited by 11 publications

References 40 publications

Defect induced ferromagnetic ordering and room temperature negative magnetoresistance in MoTeP

Defect induced ferromagnetic ordering and room temperature negative magnetoresistance in MoTeP

Controlled Synthesis of MoxW1–xTe2 Atomic Layers with Emergent Quantum States

Machine Learning Driven Synthesis of Few-Layered WTe2 with Geometrical Control

Contact Info

Product

Resources

About

High unsaturated room-temperature magnetoresistance in phase-engineered Mo_xW_1−xTe_2+δultrathin films

Controlled Synthesis of Mo_xW_1–xTe₂ Atomic Layers with Emergent Quantum States

Machine Learning Driven Synthesis of Few-Layered WTe₂ with Geometrical Control