Ultra-high-resolution imaging of moiré lattices and superstructures using scanning microwave impedance microscopy under ambient conditions

Kavli Affiliate: Michael Crommie | First 5 Authors: Kyunghoon Lee, M. Iqbal Bakti Utama, Salman Kahn, Appalakondaiah Samudrala, Nicolas Leconte | Summary: Two-dimensional heterostructures with layers of slightly different lattice vectors exhibit a new periodic structure known as moire lattices. Moire lattice formation provides a powerful new way to engineer the electronic structure of two-dimensional […]


Continue.. Ultra-high-resolution imaging of moiré lattices and superstructures using scanning microwave impedance microscopy under ambient conditions

High-throughput search for magnetic and topological order in transition metal oxides

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Nathan C. Frey, Matthew K. Horton, Jason M. Munro, Sinéad M. Griffin, Kristin A. Persson | Summary: The discovery of intrinsic magnetic topological order in $rm MnBi_2Te_4$ has invigorated the search for materials with coexisting magnetic and topological phases. These multi-order quantum materials are expected to […]


Continue.. High-throughput search for magnetic and topological order in transition metal oxides

Addressing Ancestry Disparities in Genomic Medicine: A Geographic-aware Algorithm

Kavli Affiliate: Carlos Bustamante | First 5 Authors: Daniel Mas Montserrat, Arvind Kumar, Carlos Bustamante, Alexander Ioannidis, | Summary: With declining sequencing costs a promising and affordable tool is emerging in cancer diagnostics: genomics. By using association studies, genomic variants that predispose patients to specific cancers can be identified, while by using tumor genomics cancer […]


Continue.. Addressing Ancestry Disparities in Genomic Medicine: A Geographic-aware Algorithm

Addressing Ancestry Disparities in Genomic Medicine: A Geographic-aware Algorithm

Kavli Affiliate: Carlos Bustamante | First 5 Authors: Daniel Mas Montserrat, Arvind Kumar, Carlos Bustamante, Alexander Ioannidis, | Summary: With declining sequencing costs a promising and affordable tool is emerging in cancer diagnostics: genomics. By using association studies, genomic variants that predispose patients to specific cancers can be identified, while by using tumor genomics cancer […]


Continue.. Addressing Ancestry Disparities in Genomic Medicine: A Geographic-aware Algorithm

LAI-Net: Local-Ancestry Inference with Neural Networks

Kavli Affiliate: Carlos Bustamante | First 5 Authors: Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis, , | Summary: Local-ancestry inference (LAI), also referred to as ancestry deconvolution, provides high-resolution ancestry estimation along the human genome. In both research and industry, LAI is emerging as a critical step in DNA sequence analysis with applications extending from […]


Continue.. LAI-Net: Local-Ancestry Inference with Neural Networks

LAI-Net: Local-Ancestry Inference with Neural Networks

Kavli Affiliate: Carlos Bustamante | First 5 Authors: Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis, , | Summary: Local-ancestry inference (LAI), also referred to as ancestry deconvolution, provides high-resolution ancestry estimation along the human genome. In both research and industry, LAI is emerging as a critical step in DNA sequence analysis with applications extending from […]


Continue.. LAI-Net: Local-Ancestry Inference with Neural Networks

Incorporating electronic information into Machine Learning potential energy surfaces via approaching the ground-state electronic energy as a function of atom-based electronic populations

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Xiaowei Xie, Kristin A. Persson, David W. Small, , | Summary: Machine Learning (ML) approximations to Density Functional Theory (DFT) potential energy surfaces (PESs) are showing great promise for reducing the computational cost of accurate molecular simulations, but at present they are not applicable to varying […]


Continue.. Incorporating electronic information into Machine Learning potential energy surfaces via approaching the ground-state electronic energy as a function of atom-based electronic populations

Efficient phase-factor evaluation in quantum signal processing

Kavli Affiliate: K. Birgitta Whaley | First 5 Authors: Yulong Dong, Xiang Meng, K. Birgitta Whaley, Lin Lin, | Summary: Quantum signal processing (QSP) is a powerful quantum algorithm to exactly implement matrix polynomials on quantum computers. Asymptotic analysis of quantum algorithms based on QSP has shown that asymptotically optimal results can in principle be […]


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Evidence for a magnetic-field induced ideal type-II Weyl state in antiferromagnetic topological insulator Mn(Bi1-xSbx)2Te4

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Seng Huat Lee, David Graf, Yanglin Zhu, Hemian Yi, Samuel Ciocys | Summary: The discovery of Weyl semimetals (WSMs) has fueled tremendous interest in condensed matter physics. WSMs require breaking of either inversion symmetry (IS) or time-reversal symmetry (TRS); they can be categorized into type-I and type-II […]


Continue.. Evidence for a magnetic-field induced ideal type-II Weyl state in antiferromagnetic topological insulator Mn(Bi1-xSbx)2Te4

Competition between magnetic order and charge localization in Na$_2$IrO$_3$ thin crystal devices

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Josue Rodriguez, Gilbert Lopez, Samantha Crouch, Nicholas P. Breznay, Robert Kealhofer | Summary: Spin orbit assisted Mott insulators such as sodium iridate (Na$_2$IrO$_3$) have been an important subject of study in the recent years. In these materials, the interplay of electronic correlations, spin-orbit coupling, crystal field effects […]


Continue.. Competition between magnetic order and charge localization in Na$_2$IrO$_3$ thin crystal devices