Institution
Motion Control (United States)
Recent research
- Engineering & Technology
Purpose Most existing grid-tied PV-battery systems rely on static charge-discharge schedules, typically involving daytime battery charging and nighttime discharging, which lead to inefficient energy storage utilization and reduced overall economic performance. Traditional energy...
- AI & ComputingOpen access
Explainable deep learning improves human mental models of self-driving cars
Abstract Self-driving cars increasingly rely on deep neural networks to achieve human-like driving 1–3 . The opacity of these black-box planners makes it challenging to accurately anticipate when they will fail 4–6 , with potentially catastrophic consequences 7–9 . Although resea...
- Engineering & TechnologyOpen access
State-of-health (SOH) estimation is essential for lithium-ion battery management. However, real-world disruptions often result in fragmented battery data, making reliable SOH estimation challenging. Generative artificial intelligence offers a promising paradigm to address these l...
- Physics & SpaceOpen access
The Lagrangians of general relativity and of the standard model of particle physics with massive neutrinos follow from a single fundamental principle based on fluctuating strands of Planck radius. The principle yields unique and running values for the elementary particle masses a...
- Physics & SpaceOpen access
The Lagrangians of general relativity and of the standard model of particle physics with massive neutrinos follow from a single fundamental principle based on fluctuating strands of Planck radius. The principle yields unique and running values for the elementary particle masses a...
- Physics & SpaceOpen access
The Lagrangians of general relativity and of the standard model of particle physics with massive neutrinos follow from a single fundamental principle based on fluctuating strands of Planck radius. The approach yields unique and running values for the elementary particle masses an...