All-nitride superconducting qubits based on atomic layer deposition
Nakamura, Y., Pashkin, Y. A. & Tsai, J. S. Coherent control of macroscopic quantum states in a single-Cooper-pair…
Quantifying the global eco-footprint of wearable healthcare electronics
Shi, J. et al. Active biointegrated living electronics for managing inflammation. Science 384, 1023–1030 (2024). Article ADS CAS …
Single-crystalline monolayer semiconductors with coherent quantum transport by vicinal van der Waals epitaxy
Cui, X. et al. Multi-terminal transport measurements of MoS2 using a van der Waals heterostructure device platform. Nat.…
Terahertz photonic heterodyne spectral analysis with (sub-) kHz resolution and 6.5 THz frequency coverage
Photonic local oscillator The laser engine, used as the LO, combines the stability and accuracy of comb technology…
Ultra-broadband wide-angle anti-reflection scheme utilizing multi-layer resonant metasurfaces
When light transitions from one medium to another, differences in refractive indices cause partial reflection which reduces the…
High-frequency FeSiAl-based soft magnetic composites via simultaneously suppressed eddy and hysteresis losses
Composites construction The schematic representation of bulk/interface by mutual diffusion of metal atoms to achieve FeSiAl:Sn/Al2O3 is depicted…
Electromagnetic interference shielding using metal and MXene thin films
Joo, K. et al. High performance package-level EMI shielding of Ag epoxy composites with spray method for high…
Leveraging body dielectric polarization for ambient electromagnetic energy recovery via e-textile
Concept of body dielectric polarization-enabled body area networks Textile-based body area networks (BAN) require multiple sensors and wireless…
Deterministic spin-orbit torque switching of epitaxial ferrimagnetic insulator with perpendicular magnetic anisotropy fabricated by on-axis magnetron sputtering
TmIG films were grown on a GGG substrate using the on-axis RF magnetron sputtering technique at room temperature…
Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons
In this study, machine learning algorithms are employed to develop multi-label forecasts of the PV and AC power…
Analog in-memory computing attention mechanism for fast and energy-efficient large language models
Hardware-based neural network simulations We implement the sliding window attention by masking the elements of S outside the…