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In situ nanocrystal confinement for efficient blue perovskite LEDs
Abstract Metal halide perovskites have emerged as promising semiconductors for light-emitting diodes (LEDs) owing to their excellent luminescence properties1. However, their performance remains limited, primarily owing to the inherent contradiction between ‘high crystallinity’ and ‘small size’ in the in situ synthesis of perovskite nanocrystals on substrates. Here we report efficient blue perovskite LEDs (PeLEDs) achieved via in situ polymerization-driven nanocrystal confinement to...
In-situ Silicon Doped hBN by High-Temperature Molecular Beam Epitaxy Enables Single Photon Emission
arXiv:2606.01727v1 Announce Type: new Abstract: Hexagonal boron nitride (hBN) has emerged as a leading host for optically active quantum defects. Yet introduction of specific impurity species other than carbon remains unexplored. Here, we demonstrate an in-situ silicon doping of hBN grown by high-temperature molecular beam epitaxy (HT-MBE).
In situ three-dimensional mapping of oxygen gradients in Staphylococcus epidermidis biofilms using a solution-based, ratiometric imaging platform
Staphylococcus epidermidis biofilm oxygen gradients are spatially mapped during biofilm development and after vancomycin treatment using a solution-based ratiometric imaging platform. By integrating the oxygen-sensitive, tris(2,2'-bipyridyl)dichlororuthenium(II) hexahydrate with oxygen-insensitive, water-soluble CdSe/ZnS quantum dots, we achieve in situ microscale resolution of dissolved oxygen (DO) concentrations within biofilms. The oxygen-sensing platform is calibrated within alginate...
Structural gradients and strain partitioning across the mouse Achilles tendon enthesis revealed by in situ X-ray scattering
Announce Type: new Abstract: The enthesis is the insertion site of tendon into bone and exhibits a high mechanical durability despite the large mismatch in material properties between the two tissues. This durability stems from gradients in composition, structure and organization on multiple hierarchical length scales. Despite extensive research on enthesis structure and mechanics, the local deformation mechanisms are poorly understood.
In-Situ Immersive Analytics Authoring through Ergonomic Keyboard Support
arXiv:2606.08927v1 Announce Type: new Abstract: Immersive analytics uses augmented reality (AR) to integrate data analysis and authoring within physical environments. However, extensive text entry required for immersive analytics authoring remains a fundamental challenge in AR, as popular natural user interfaces often hinder expressive input. This paper presents the Body-Supported Keyboard (BSK), an ergonomic system that allows the mobile use of a Bluetooth keyboard in AR.
Closed-Loop Molecular Design with Calibrated Deference
Announce Type: cross Abstract: We present Cognitive Loop via In-Situ Optimization (CLIO), an agent that couples a continuously-updated belief-state graph with a recursive plan-then-act loop. The result is a reasoning agent that can contribute something qualitatively different, which we term \emph{calibrated deference}: the capacity to recognize when its own tools or assumptions are failing, to adapt its strategy in response, and to generate mechanistic hypotheses that guide experimental...
Streami: An MPI Data-Parallel Library to Compute Field Lines on GPUs
arXiv:2606.02627v1 Announce Type: cross Abstract: We present Streami, an extensible GPU-accelerated library for the computation of field lines in fluid flows on high-performance computers. Streami acts as a thin layer used for both post-hoc or in-situ analysis and can interface with existing MPI applications. We discuss Streami's application programming interface, key design decisions that led to Streami's high performance and extensibility, as well as extensions to support different fluid...
Closed-Loop Molecular Design with Calibrated Deference
Announce Type: new Abstract: We present Cognitive Loop via In-Situ Optimization (CLIO), an agent that couples a continuously-updated belief-state graph with a recursive plan-then-act loop. The result is a reasoning agent that can contribute something qualitatively different, which we term \emph{calibrated deference}: the capacity to recognize when its own tools or assumptions are failing, to adapt its strategy in response, and to generate mechanistic hypotheses that guide experimental...
A Next-Generation Snow Albedo Parameterization for Climate Modeling using Constrained Machine Learning
new Abstract: We demonstrate a data-driven parameterization for snow albedo using a constrained neural differential equation that directly predicts a range of snow albedo tendencies from standard snow and meteorological inputs. After training with multi-year in-situ and satellite observations from a wide variety of locations, the scheme effectively reproduces daily albedo evolution across diverse climate zones, with median error under 7.5% (RMSE ~0.05), a 10-30% improvement over established...
Streami: An MPI Data-Parallel Library to Compute Field Lines on GPUs
arXiv:2606.02627v1 Announce Type: new Abstract: We present Streami, an extensible GPU-accelerated library for the computation of field lines in fluid flows on high-performance computers. Streami acts as a thin layer used for both post-hoc or in-situ analysis and can interface with existing MPI applications. We discuss Streami's application programming interface, key design decisions that led to Streami's high performance and extensibility, as well as extensions to support different fluid...