Electrical Engineering
Items (Sorted by Submit Date in Descending order): 1 to 20 of 321
Issue Date | Title | Author(s) |
2024 | Hybrid Switched-Capacitor Circuits and Magnetics Co-Design for Vertical Power Delivery | Elasser, Youssef Edir |
2024 | REMOTE SPECTROSCOPIC DETECTION AND 3D LOCALIZATION OF TRACE-GASES | Soskind, Michael Gene |
2024 | Localization and Interaction in Ultra-High-Quality Two-Dimensional Electron Systems | Thekke Madathil, Pranav |
2024 | Inferring latent factors and states underlying behavior and neural dynamics | Jha, Aditi |
2024 | Utilizing Subword Serialization and Parallelism to Design Efficient High-Performance Processors | Jackson, Paul |
2024 | Exploring Fundamentals of Circuit Quantum Electrodynamics Using Fluxonium | Bryon, Jacob Elvin |
2024 | Energy-efficient Capacitor-based Analog In-memory Computing Macros | Lee, Jinseok |
2024 | Scaling Full-Stack Safety for Learning-Enabled Robot Autonomy | Hsu, Kai-Chieh |
2024 | Machine learning for quantum cascade laser design and optimization | Correa Hernandez, Andres |
2024 | UNDERSTANDING THE INSTABILITY ASSOCIATED WITH PEROVSKITE PHOTOVOLTAICS: INTRINSIC, PROCESSING AND OPERATIONAL | Hu, Junnan |
2024 | Challenges and Opportunities in Future Multi-Chiplet Architectures | Chirkov, Grigory |
2024 | Toward injection lasing in halide perovskite semiconductors | Gunnarsson, William Brady |
2024 | Automatic Generation of Hardware Abstractions from Register-Transfer Level (RTL) Designs | Zeng, Yu |
2024 | Enhancing Deep Neural Networks in Diverse Resource-Constrained Hardware Settings | Tuli, Shikhar |
2024 | Hardware-Supported Computer Security - Detection, Diagnosis and Defense | xu, zhixing |
2024 | Telecom Band Quantum Memory in the Solid-State Towards Quantum Repeater Networks | Ourari, Salim |
2024 | Microwave Photonic Interference Cancellation: RF Analysis, III-V And Silicon Integration, Development of Balanced and Hybrid Architectures | Blow, Eric Charles |
2023 | A Study on Interacting Condensates in Superconducting Topological Materials | Kim, Stephan |
2023 | Training Deep Neural Networks with In-Memory Computing | Grimm, Christopher Lee |
2023 | MAGNETO-OPTICAL ENHANCEMENT FOR SPECTROSCOPIC METHODS: HIGH-FINESSE CAVITY SPECTROSCOPY AND DUAL COMB SPECTROSCOPY | Patrick, Charles Link |
Items (Sorted by Submit Date in Descending order): 1 to 20 of 321