Kavli Affiliate: Farhan Rana | First 5 Authors: Joongwon Lee, Zexuan Zhang, Huili Xing, Debdeep Jena, Farhan Rana | Summary: MnN is a centrosymmetric collinear antiferromagnet belonging to the transition metal nitride family with a high Neel temperature, a low anisotropy field, and a large magnetic moment per Mn atom. Despite several recent experimental and […]

Kavli Affiliate: Jie Shan | First 5 Authors: Yanhao Tang, Kaixiang Su, Lizhong Li, Yang Xu, Song Liu | Summary: Two-dimensional semiconductor moir’e materials have emerged as a highly controllable platform to simulate and explore quantum condensed matter. Compared to real solids, electrons in semiconductor moir’e materials are less strongly attracted to the moir’e lattice […]

Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Qianbiao Liu, Lijun Zhu, Xiyue S. Zhang, David A. Muller, Daniel C. Ralph | Summary: Efficient manipulation of antiferromagnetically coupled materials that are integration-friendly and have strong perpendicular magnetic anisotropy (PMA) is of great interest for low-power, fast, dense magnetic storage and computing. Here, we report […]

Kavli Affiliate: Darrell G. Schlom, Jin Suntivich | First 5 Authors: Aileen Luo, Oleg Yu. Gorobtsov, Jocienne N. Nelson, Ding-Yuan Kuo, Ziming Shao | Summary: Functional properties of transition-metal oxides strongly depend on crystallographic defects. In transition-metal-oxide electrocatalysts such as SrIrO3 (SIO), crystallographic lattice deviations can affect ionic diffusion and adsorbate binding energies. Scanning x-ray […]

Kavli Affiliate: Jin Suntivich | First 5 Authors: Aileen Luo, Oleg Yu. Gorobtsov, Jocienne N. Nelson, Ding-Yuan Kuo, Ziming Shao | Summary: Functional properties of transition-metal oxides strongly depend on crystallographic defects. In transition-metal-oxide electrocatalysts such as SrIrO3 (SIO), crystallographic lattice deviations can affect ionic diffusion and adsorbate binding energies. Scanning x-ray nanodiffraction enables imaging […]

Kavli Affiliate: Lena F. Kourkoutis | First 5 Authors: Kyuho Lee, Bai Yang Wang, Motoki Osada, Berit H. Goodge, Tiffany C. Wang | Summary: The occurrence of superconductivity in proximity to various strongly correlated phases of matter has drawn extensive focus on their normal state properties, to develop an understanding of the state from which […]

Kavli Affiliate: Richard D. Robinson | First 5 Authors: Jonathan Schwartz, Zichao Wendy Di, Yi Jiang, Alyssa J. Fielitz, Don-Hyung Ha | Summary: Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic interactions. Here, fused multi-modal electron microscopy offers high signal-to-noise ratio (SNR) recovery of […]

Kavli Affiliate: David A. Muller | First 5 Authors: Xiang Chen, Yu-Tsun Shao, Rui Chen, Sandhya Susarla, Tom Hogan | Summary: The existence of long range magnetic order in low dimensional magnetic systems, such as the quasi-two-dimensional (2D) van der Waals (vdW) magnets, has attracted intensive studies of new physical phenomena. The vdW Fe$_N$GeTe$_2$ ($N$ […]

Kavli Affiliate: Itai Cohen | First 5 Authors: Danilo B. Liarte, Stephen J. Thornton, Eric Schwen, Itai Cohen, Debanjan Chowdhury | Summary: Disordered viscoelastic materials are ubiquitous and exhibit fascinating invariant scaling properties. In a companion article, we have presented comprehensive new results for the critical behavior of the dynamic susceptibility of disordered elastic systems […]

Kavli Affiliate: Dan Luo | First 5 Authors: Eashan Adhikarla, Dan Luo, Brian D. Davison, , | Summary: Many deep neural networks are susceptible to minute perturbations of images that have been carefully crafted to cause misclassification. Ideally, a robust classifier would be immune to small variations in input images, and a number of defensive […]