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    ChIMES Carbon 2.0: A transferable machine-learned interatomic model harnessing multifidelity training data by Rebecca K. Lindsey, Sorin Bastea, Sebastien Hamel, Yanjun Lyu, Nir Goldman, Vincenzo Lordi

    Published 2025-02-01
    “…Abstract We present new parameterizations of the ChIMES physics informed machine-learned interatomic model for simulating carbon under conditions ranging from 300 K and 0 GPa to 10,000 K and 100 GPa, along with a new multi-fidelity active learning strategy. …”
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    Trajectory Optimization of CAVs in Freeway Work Zone considering Car-Following Behaviors Using Online Multiagent Reinforcement Learning by Tong Zhu, Xiaohu Li, Wei Fan, Changshuai Wang, Haoxue Liu, Runqing Zhao

    Published 2021-01-01
    “…The multiagent reinforcement learning (MARL) method is applied in this system, with one agent providing a merging advisory service at the merging point and controlling the inner-lane vehicles’ headway for smooth outer-lane vehicle merging, while other agents provide lane-changing advisory services at advance lane-changing points to control how vehicles make lane changes in advance and perform corresponding headway adjustment, similar to and jointly with the merging advisory service. …”
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    Between Charybdis and Scylla—an Odyssey in AL amyloidosis: insights and learnings from a narrative review and case report series by Hani Sabbour, Ahmad Alhuraiji, Amr Hanbali, Faraz Khan, Jawahir Alameri, Sultan Alzaher, Dania Mohty, Giovanni Palladini

    Published 2025-02-01
    “…Here, we present a case series reflecting primarily the cardiologist and hematologist perspective to uniquely illustrate key learnings that we believe have the potential to improve diagnosis timelines, treatment initiation, and ultimately improve outcomes for this severe disease. …”
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