Personalizing Prostate Cancer Education for Patients Using an EHR-Integrated LLM Agent

Kavli Affiliate: A. C. Davis| First 5 Authors: Yuexing Hao, Yuexing Hao, , , | Summary:Cancer patients often lack timely education and personalized support due to clinician workload. This quality improvement study develops and evaluates a Large Language Model (LLM) agent, MedEduChat, which is integrated with the clinic’s electronic health records (EHR) and designed to […]


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Fracture Characterization of Bioinspired Irregular Network Reinforced Composites

Kavli Affiliate: Chiara Daraio | Summary:The mechanical behavior of composite materials is significantly influenced by their structure and constituent materials. One emerging class of composite materials is irregular network reinforced composites (NRC’s), whose reinforcing phase is generated by a stochastic algorithm. Although design of the reinforcing phase network offers tailorable control over both the global […]


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KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model

Kavli Affiliate: Yi Zhou | First 5 Authors: Weichen Dai, Yezeng Chen, Zijie Dai, Yubo Liu, Zhijie Huang | Summary: Artificial intelligence is gradually demonstrating its immense potential, and increasing attention is being given to how AI can be harnessed to advance scientific research. In this vision paper, we present our perspectives on how AI […]


Continue.. KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model

KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model

Kavli Affiliate: Yi Zhou | First 5 Authors: Weichen Dai, Yezeng Chen, Zijie Dai, Zhijie Huang, Yubo Liu | Summary: Artificial intelligence is gradually demonstrating its immense potential, and increasing attention is being given to how AI can be harnessed to advance scientific research. In this vision paper, we present our perspectives on how AI […]


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Measuring vacancy-type defect density in monolayer semiconductors

Kavli Affiliate: Ke Wang | First 5 Authors: Aleksandar Radic, Aleksandar Radic, , , | Summary: Two-dimensional (2D) materials have attracted wide-spread interest due to their unique and tunable properties. Their optoelectronic, mechanical, and thermal properties are greatly influenced by crystal defects, which are, in turn, used to control these properties. However, experimental quantification of […]


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Measuring vacancy-type defect density in monolayer MoS$_2$

Kavli Affiliate: Ke Wang | First 5 Authors: Aleksandar Radic, Aleksandar Radic, , , | Summary: Two-dimensional (2D) materials are being widely researched for their interesting electronic properties. Their optoelectronic, mechanical and thermal properties can be finely modulated using a variety of methods, including strain, passivation, doping, and tuning of defect density. However, measuring defect […]


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Defect density quantification in monolayer MoS2 using helium atom micro-diffraction

Kavli Affiliate: Ke Wang | First 5 Authors: Aleksandar Radic, Nick von Jeinsen, Ke Wang, Yiru Zhu, Ismail Sami | Summary: Sulfur vacancy defects mediate a wide range of optoelectronic properties in MoS2, with precise control of defect density allowing for tuneable optoelectronic devices. However, accurate measurement of defect density in monolayer and few-layer samples […]


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Search3D: Hierarchical Open-Vocabulary 3D Segmentation

Kavli Affiliate: Robert Wald| First 5 Authors: Ayca Takmaz, Ayca Takmaz, , , | Summary:Open-vocabulary 3D segmentation enables exploration of 3D spaces using free-form text descriptions. Existing methods for open-vocabulary 3D instance segmentation primarily focus on identifying object-level instances but struggle with finer-grained scene entities such as object parts, or regions described by generic attributes. […]


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