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Energy-efficient Scientific Computing using Chemical Reservoirs

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Energy-efficient, Large-scale Molecular Dynamics Simulations via Hardware- and Algorithm-level Optimization

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Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation

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AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications

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Advanced Computing Is at the Forefront of a New “Moonshot” Revolutionizing the North American Power Grid

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Extending Power of Nature from Binary Problems to Real-Valued Graph Learning in Real World

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MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs

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Physiological adaptations to progressive endurance exercise training in adult and aged rats: insights from the Molecular Transducers of Physical Activity Consortium (MoTrPAC)

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PeakQC: A Software Tool for Omics-Agnostic Automated Quality Control of Mass Spectrometry Data

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Graph Analytics on Jellyfish topology