Junction-level quantum interference governs magnetotransport in disordered low-dimensional networks, with positive MR tied to overlap length and negative MR to lattice-mismatched heterojunctions.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Foundation models are large adaptable AI systems with emergent capabilities that offer broad opportunities but carry risks from homogenization, opacity, and inherited defects across downstream applications.
An early multimodal XR prototype fuses five signal streams with an interpretation layer to detect escalation cues and enable adaptive de-escalation training.
citing papers explorer
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Quantum Limits of Electronic Transport in Nanostructured Macroscopic Conductors
Junction-level quantum interference governs magnetotransport in disordered low-dimensional networks, with positive MR tied to overlap length and negative MR to lattice-mismatched heterojunctions.
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On the Opportunities and Risks of Foundation Models
Foundation models are large adaptable AI systems with emergent capabilities that offer broad opportunities but carry risks from homogenization, opacity, and inherited defects across downstream applications.
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From Multimodal Signals to Adaptive XR Experiences for De-escalation Training
An early multimodal XR prototype fuses five signal streams with an interpretation layer to detect escalation cues and enable adaptive de-escalation training.