Data-Driven Design-Test-Make-Analyze Paradigm for Inorganic Crystals: Ultrafast Synthesis of Ternary Oxides

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Haiwen Dai, Haiwen Dai, , , | Summary: Data-driven methodologies hold the promise of revolutionizing inorganic materials discovery, but they often face challenges due to discrepancies between theoretical predictions and experimental validation. In this work, we present an end-to-end discovery framework that leverages synthesizability, oxidation state […]


Continue.. Data-Driven Design-Test-Make-Analyze Paradigm for Inorganic Crystals: Ultrafast Synthesis of Ternary Oxides

Improving the lifetime of aluminum-based superconducting qubits through atomic layer etching and deposition

Kavli Affiliate: Oskar Painter | First 5 Authors: Neha Mahuli, Neha Mahuli, , , | Summary: We present a dry surface treatment combining atomic layer etching and deposition (ALE and ALD) to mitigate dielectric loss in fully fabricated superconducting quantum devices formed from aluminum thin films on silicon. The treatment, performed as a final processing […]


Continue.. Improving the lifetime of aluminum-based superconducting qubits through atomic layer etching and deposition

XHEMTs on Ultrawide Bandgap Single-Crystal AlN Substrates

Kavli Affiliate: Grace Xing | First 5 Authors: Eungkyun Kim, Eungkyun Kim, , , | Summary: AlN has the largest bandgap in the wurtzite III-nitride semiconductor family, making it an ideal barrier for a thin GaN channel to achieve strong carrier confinement in field-effect transistors, analogous to silicon-on-insulator technology. Unlike SiO$_2$/Si/SiO$_2$, AlN/GaN/AlN can be grown […]


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Optimized cerebral blood flow measurement in speckle contrast optical spectroscopy via refinement of noise calibration

Kavli Affiliate: Changhuei Yang | First 5 Authors: Ninghe Liu, Yu Xi Huang, Simon Mahler, Changhuei Yang, | Summary: Speckle contrast optical spectroscopy (SCOS) offers a non-invasive and cost-effective method for monitoring cerebral blood flow (CBF). However, extracting accurate CBF from SCOS necessitates precise noise pre-calibration. Errors from this can degrade CBF measurement fidelity, particularly […]


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YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework

Kavli Affiliate: Ting Xu | First 5 Authors: Dahang Wan, Rongsheng Lu, Yang Fang, Xianli Lang, Shuangbao Shu | Summary: Multispectral object detection, which integrates information from multiple bands, can enhance detection accuracy and environmental adaptability, holding great application potential across various fields. Although existing methods have made progress in cross-modal interaction, low-light conditions, and […]


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Quadrotor Morpho-Transition: Learning vs Model-Based Control Strategies

Kavli Affiliate: Morteza Gharib | First 5 Authors: Ioannis Mandralis, Richard M. Murray, Morteza Gharib, , | Summary: Quadrotor Morpho-Transition, or the act of transitioning from air to ground through mid-air transformation, involves complex aerodynamic interactions and a need to operate near actuator saturation, complicating controller design. In recent work, morpho-transition has been studied from […]


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Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong | Summary: Peptide sequencing-the process of identifying amino acid sequences from mass spectrometry data-is a fundamental task in proteomics. Non-Autoregressive Transformers (NATs) have proven highly effective for this task, outperforming traditional methods. Unlike autoregressive models, which generate […]


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Excitations and dynamical structure factor of $J_1-J_2$ spin-$3/2$ and spin-$5/2$ Heisenberg spin chains

Kavli Affiliate: Natalia Chepiga | First 5 Authors: Aman Sharma, Mithilesh Nayak, Natalia Chepiga, Frédéric Mila, | Summary: We study the dynamical structure factor of the frustrated spin-$3/2$ $J_1$-$J_2$ Heisenberg chains, with particular focus on the partially dimerized phase that emerges between two Kosterlitz-Thouless transitions. Using a valence bond solid ansatz corroborated by density matrix […]


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Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang | Summary: Large vision-language models (LVLMs) have demonstrated outstanding performance in many downstream tasks. However, LVLMs are trained on large-scale datasets, which can pose privacy risks if training images contain sensitive information. Therefore, it is important to […]


Continue.. Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models