Results 161 to 170 of about 4,347,136 (363)
A New Steel-Joint Precast Concrete Frame Structure: The Design, Key Construction Techniques, and Building Energy Efficiency [PDF]
Xiaona Shi+4 more
openalex +1 more source
Tin‐Based 2D/3D Perovskite Vertical Heterojunction for High‐Performance Synaptic Phototransistors
Phototransistors based on tin‐based 2D/3D perovskite heterostructures show an ultrahigh responsivity and detectivity at a low gate voltage across a broad wavelength region from ultraviolet to near‐infrared. The devices can replicate neuromorphic learning and remembering behaviors to light stimuli, in addition to electric depression and memory erasure ...
Hok‐Leung Loi+10 more
wiley +1 more source
Ageing and deformation properties of building joint sealants [PDF]
[abstract missing]
openaire +1 more source
Gate‐Tunable Hole Transport in In‐Plane Ge Nanowires by V‐Groove Confined Selective Epitaxy
Ge nanowires are promising for hole spin‐based quantum processors, requiring direct integration onto Si wafers. This work introduces V‐groove‐confined selective epitaxy for in‐plane nanowire growth on Si. Structural and low‐temperature transport measurements confirm their high crystalline quality, gate‐tunable hole densities, and mobility.
Santhanu Panikar Ramanandan+11 more
wiley +1 more source
Increase in fire resistance of building expansion joints via intumescent sealant composition [PDF]
I.A. Osipov, Olga Zybina
openalex +1 more source
Dynamic Risk Prediction via a Joint Frailty-Copula Model and IPD Meta-Analysis: Building Web Applications [PDF]
Takeshi Emura+2 more
openalex +1 more source
Symmetry‐broken plasmonic nanoantenna arrays achieve broadband multiresonant enhancement of second harmonic generation (SHG), third harmonic generation (THG), and upconversion photoluminescence (UCPL), under femtosecond laser excitation across the near‐infrared range (1000–1600 nm).
Elieser Mejia+9 more
wiley +1 more source
A Joint Prediction Method of Multi-Agent to Reduce Collision Rate [PDF]
Predicting future motions of road participants is an important task for driving autonomously. Most existing models excel at predicting the marginal trajectory of a single agent, but predicting joint trajectories for multiple agents that are consistent within a scene remains a challenge.
arxiv