Circulating cavity magnon polaritons

Yu, Weichao; Yu, Tao; Bauer, G.

doi:10.1103/physrevb.102.064416

Cited by 34 publications

(26 citation statements)

References 56 publications

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“…The long-range dipolar interaction emitted from the excited nanomagnet can chirally couple with the traveling magnons of extended films as its rotation direction is locked to its momentum [28][29][30][31][32]. The microwaves show polarization-momentum locking when confined by the waveguide [33][34][35][36], cavity [37,38], or antenna [39][40][41], which were employed to realize the nonreciprocal magnon-photon coupling. With chiral coupling, the unidirectional traveling waves are excited by the nearby magnet in half-space [30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Nonreciprocal surface magnetoelastic dynamics

2020

Phys. Rev. B

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Motivated by recent experiments, we investigate the nonreciprocal magnetoelastic interaction between the surface acoustic phonons of dielectric nonmagnetic substrates and magnons of proximity nanomagnets. The magnetization dynamics exerts rotating forces at the edges of the nanomagnet that causes the nonreciprocal interaction with surface phonons due to its rotation-momentum locking. This coupling induces the nonreciprocity of the surface phonon transmission and a nearly complete phonon diode effect by several (tens of) magnetic nanowires of high (ordinary) magnetic quality. Phase-sensitive microwave transmission is also nonreciprocal that can pick up clear signals of the coherent phonons excited by magnetization dynamics. Nonreciprocal pumping of phonons by precessing magnetization is predicted using Landauer-Büttiker formalism.

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Section: Introductionmentioning

confidence: 99%

Nonreciprocal surface magnetoelastic dynamics

2020

Phys. Rev. B

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“…These methods seek to integrate the domain knowledge of decision-makers in a structured manner, identifying a handful of scenarios that probe key known uncertainties. 35,36 In air quality management, Scenario Planning methods have the potential to complement traditional control-versusbaseline policy analysis by producing a small set of very different alternative baselines. The scenarios provide distinct combinations of variables in the decision space that can be explored further with Monte Carlo analysis or other methods to propagate input parameter uncertainty.…”

Section: Methods For Addressing Uncertaintymentioning

confidence: 99%

Evolution of the United States Energy System and Related Emissions under Varying Social and Technological Development Paradigms: Plausible Scenarios for Use in Robust Decision Making

Brown

Hottle

Bandyopadhyay

et al. 2018

Environ. Sci. Technol.

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The energy system is the primary source of air pollution. Thus, evolution of the energy system into the future will affect society's ability to maintain air quality. Anticipating this evolution is difficult because of inherent uncertainty in predicting future energy demand, fuel use, and technology adoption. We apply scenario planning to address this uncertainty, developing four very different visions of the future. Stakeholder engagement suggested that technological progress and social attitudes toward the environment are critical and uncertain factors for determining future emissions. Combining transformative and static assumptions about these factors yields a matrix of four scenarios that encompass a wide range of outcomes. We implement these scenarios in the U.S. Environmental Protection Agency MARKet ALlocation (MARKAL) model. Results suggest that both shifting attitudes and technology transformation may lead to emission reductions relative to the present, even without additional policies. Emission caps, such as the Cross-State Air-Pollution Rule, are most effective at protecting against future emission increases. An important outcome of this work is the scenario-implementation approach, which uses technology-specific discount rates to encourage scenario-specific technology and fuel choices. End-use energy demands are modified to approximate societal changes. This implementation allows the model to respond to perturbations in manners consistent with each scenario.

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“…1 H NMR (500 MHz, DMSO-d 6 ): δ 7.91 2H),3H),6.71 (s,1H),3H),2H),1.86 (dddd,J = 13.4,9.3,6.6,5.4 Hz,1H),1H) 9, 170.8, 156.2, 144.2, 141.1, 138.4, 128.11, 127.6, 127.5, 125.8, 125.7, 122.0, 121.6, 121.4, 120.6, 119.6, 66.4, 60.2, 53.4, 47.0, 31.7, 28. Peptides, and Protein Expression and Purification. 35,36 Wild-type human β-catenin (residues 138-781) were cloned into a pET-28b vector carrying a C-terminal 6× histidine (Novagen) and transformed into Escherichia coli BL21 DE3 (Novagen). Cells were cultured in LB medium with 30 μg/mL kanamycin until the OD 600 was approximately 0.8.…”

Section: Experimental Section Chemical Synthesismentioning

confidence: 99%

“…Further biological studies indicated that the formation of the β-catenin/Tcf complex in the cell nucleus is the penultimate step of the catenin/Tcf PPI using different strategies. [35][36][37] By targeting the Tcf4 G 13 ANDE 17 binding site, selective small-molecule inhibitors for β-catenin/Tcf PPI have been synthesized. 36 The best compound 1 (UU-T02) disrupted β-catenin/Tcf PPI with a K i of 1.36 μM in the fluorescence polarization (FP) competitive inhibition assay and displayed 175-and 64-fold selectivity over β-catenin/E-cadherin and β-catenin/APC, respectively.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Peptidomimetics as Selective Inhibitors for the β-Catenin/T-Cell Factor Protein–Protein Interaction

et al. 2019

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The β-catenin/T-cell factor (Tcf) protein–protein interaction (PPI) plays a critical role in the β-catenin signaling pathway which is hyperactivated in many cancers and fibroses. Based on compound 1, which was designed to target the Tcf4 G13ANDE17 binding site of β-catenin, extensive structure–activity relationship studies have been conducted. As a result, compounds 53 and 57 were found to disrupt the β-catenin/Tcf PPI with the Ki values of 0.64 and 0.44 μM, respectively, and exhibit good selectivity for β-catenin/Tcf over β-catenin/E-cadherin and β-catenin/adenomatous polyposis coli (APC) PPIs. The 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) cell viability assays revealed that 56, the ethyl ester of 53, was more potent than 53 in inhibiting viability of most of the Wnt/β-catenin hyperactive cancer cells. Further cell-based studies indicated that 56 disrupted the β-catenin/Tcf PPI without affecting the β-catenin/E-cadherin and β-catenin/APC PPIs, suppressed transactivation of Wnt/β-catenin signaling in dose-dependent manners, and inhibited migration and invasiveness of Wnt/β-catenin-dependent cancer cells.

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Circulating cavity magnon polaritons

Cited by 34 publications

References 56 publications

Nonreciprocal surface magnetoelastic dynamics

Nonreciprocal surface magnetoelastic dynamics

Evolution of the United States Energy System and Related Emissions under Varying Social and Technological Development Paradigms: Plausible Scenarios for Use in Robust Decision Making

Optimization of Peptidomimetics as Selective Inhibitors for the β-Catenin/T-Cell Factor Protein–Protein Interaction

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