Category: Engineering & Energy
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Resistance fluctuations reveal entropic barriers in memristive device
This research indicates that resistance fluctuations in a memristive device are governed by transitions among multiple local minima in a free energy landscape, not only by simple single-barrier thermal processes.
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Nonreciprocal stiffness and damping separately control wave behavior
This research indicates that nonreciprocal stiffness and nonreciprocal damping in an elastic lattice can independently control wave amplification, group velocity, and oscillation frequency.
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Air-ground delivery routing reduced cost and improved time-window performance
This research indicates that combining electric ground vehicles and drones for parcel delivery can better meet soft time windows and slightly reduce total cost compared with vehicle-only delivery.
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Digital technologies supported greener warehouse operations
This research indicates that digitalization, automation, and robotization can help warehouses apply green logistics principles by reducing paper use and improving operational efficiency.
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Ternary optical computer model lowers energy use while keeping performance acceptable
This research indicates that a new three-phase service model for ternary optical computers can reduce energy consumption while maintaining satisfactory system performance.
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Full-length tie-rods improve out-of-plane masonry wall capacity
This research indicates that full-length injected tie-rods can improve the out-of-plane capacity and post-peak stiffness of unreinforced masonry walls without markedly changing initial stiffness.
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Chirality affects microcritical states in a periodic lattice
This research indicates that chirality affects only the micro critical state, not the macro critical state, in a periodic lattice with generic rigid finite size joints.
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Review compares academic and commercial liver-on-a-chip models
This research indicates that liver-on-a-chip models have expanded in academic and commercial settings, with potential to support drug development and preclinical workflows.
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Hydrogen-based GC-IMS improved cocoa origin classification
This research indicates that a hydrogen-based gas chromatography-ion mobility spectrometry method can speed up cocoa provenance analysis while improving signal quality for machine learning classification.
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