Magneto-Optical Detection of Anisotropic Spin Currents in Altermagnetic RuO2

Kavli Affiliate: Farhan Rana | Summary:Altermagnets are a recently identified class of collinear antiferromagnets that host large spin-split electronic bands, offering a promising platform for efficient spin-current generation. Among proposed candidates, the metallic oxide RuO2 is predicted to exhibit strong altermagnetic spin splitting; however, whether it sustains robust magnetic order beyond the ultrathin thickness limit […]


Continue.. Magneto-Optical Detection of Anisotropic Spin Currents in Altermagnetic RuO2

Stacking-order-dependent electronic properties of MoTe2/WSe2 moiré bilayers

Kavli Affiliate: David Muller | Summary:Transition metal dichalcogenide (TMD) moiré bilayers have realized a wide range of strongly correlated and topological phenomena. The physics in these materials is often sensitive to the interlayer stacking order. Polarization-resolved optical second harmonic generation (SHG) is the most used technique for stacking order characterization but unverified for most heterobilayers. […]


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CoCo-InEKF: State Estimation with Learned Contact Covariances in Dynamic, Contact-Rich Scenarios

Kavli Affiliate: David Muller | Summary:Robust state estimation for highly dynamic motion of legged robots remains challenging, especially in dynamic, contact-rich scenarios. Traditional approaches often rely on binary contact states that fail to capture the nuances of partial contact or directional slippage. This paper presents CoCo-InEKF, a differentiable invariant extended Kalman filter that utilizes continuous […]


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ReActor: Reinforcement Learning for Physics-Aware Motion Retargeting

Kavli Affiliate: David Muller | Summary:Retargeting human kinematic reference motion onto a robot’s morphology remains a formidable challenge. Existing methods often produce physical inconsistencies, such as foot sliding, self-collisions, or dynamically infeasible motions, which hinder downstream imitation learning. We propose a bilevel optimization framework that jointly adapts reference motions to a robot’s morphology while training […]


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Competing nonlinearities, criticality, and order-to-chaos transition in deep networks

Kavli Affiliate: Debanjan Chowdhury | Summary:Deep neural networks owe their expressive power to nonlinear activation functions. The effective field theory of signal propagation at initialization reveals a few distinct universality classes of activations that exhibit different depth scaling. Tuning across these, especially with analytical control, is an open problem. We show that a statistical mixture […]


Continue.. Competing nonlinearities, criticality, and order-to-chaos transition in deep networks

Multistable energy landscapes for adaptive microscopic machines

Kavli Affiliate: Itai Cohen | Summary:The past few years have seen great strides in our ability to build synthetic microscopic machines. However, the function of such machines is often controlled directly by externally applied fields that deterministically specify the instantaneous machine dynamics. A crucial step towards machines that can respond adaptively to changes in their […]


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All-organic self-separating three-dimensionally nanoarchitected electrochemical energy storage devices

Kavli Affiliate: Ulrich Wiesner | Summary:This work realizes a three-dimensionally (3D) nanoarchitected, all organic, "self-separating" lithium-ion electrochemical energy storage (EES) device that is cycled as a solid-state full cell. The device is enabled by a monolithic carbon anode with a co-continuous pore network, derived from the structure direction of resols by an ultra-large molar mass […]


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Cryogenic Loss Limits in Microwave Epitaxial AlN Acoustic Resonators

Kavli Affiliate: Grace Xing | Summary:Aluminum nitride (AlN)-based thin-film bulk acoustic wave resonators (FBARs) are promising compact platforms for 6G communications and quantum memory hardware, enabled by their integrable acoustic modes with high quality factors. However, temperature-dependent acoustic dissipation ultimately limits device performance. In this work, we fabricated a 16 GHz epitaxial AlN FBAR as […]


Continue.. Cryogenic Loss Limits in Microwave Epitaxial AlN Acoustic Resonators

Loss Mechanisms in Cryogenic Microwave Epitaxial AlN Resonators

Kavli Affiliate: Grace Xing | Summary:Epitaxial aluminum nitride (AlN) thin-film bulk acoustic resonators (FBARs) enable low loss filtering for future 6G systems. They also provide a compact approach for qubit sensing at cryogenic temperatures. However, these devices are rarely characterized systematically from room temperature to cryogenic temperatures, and the mechanisms that limit their cryogenic performance […]


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Revealing buried ferroelectric topologies by depth-resolved electron diffraction imaging

Kavli Affiliate: Darrell Schlom | Summary:Nanoscale topological polar textures promise new functionalities for ferroelectric memories and logic, yet their three-dimensional structure and mesoscale organization remain experimentally inaccessible. Here we introduce depth-resolved electron diffraction imaging (DREDI), a fast, non-destructive, method that maps polarization with <50 nm lateral and <10 nm depth sensitivity within fraction of a […]


Continue.. Revealing buried ferroelectric topologies by depth-resolved electron diffraction imaging