Results 151 to 160 of about 678,914 (378)
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang +6 more
wiley +1 more source
Networks and Competitiveness in Polish Foreign-owned and Domestic Firms [PDF]
In this study deepens the available knowledge about the networks of Polish manufacturing firms. Among the questions touched upon in this analysis are: Do foreign-owned companies have less developed networks of Polish suppliers than domestically owned ...
Amelia Kalukiewicz +5 more
core
Increasing the density and homogeneity of soft magnetic composites are critical for achieving high power density and low core loss. This work proposes a novel strategy by combining ultrasonic‐assisted pressing and cold pressing. In this line, the density and permeability of magnetic core have been increased a lot, while the core loss is decreased ...
Xiaoying Huang +15 more
wiley +1 more source
A novel n‐dopant, phosphazenium tetrafluoroborate (P2BF4), is introduced for efficient n‐doping in N2200, P(PzDPP‐CT2) and other organic semiconductors (OSCs). P2BF4‐doped OSC films exhibit exceptional thermal stability, maintaining electrical conductivity after heating at > 150 °C for 24 h. This stability allows organic thermoelectric devices based on
Huan Wei +11 more
wiley +1 more source
Real‐Time AMPC for Loss Reduction in 48 V Six‐Phase Synchronous Motor Drives
This article presents an adaptive model predictive control (AMPC) algorithm for real‐time management of a six‐phase permanent magnet synchronous motor. The system optimizes both speed control and power dissipation, featuring an automated power derating ...
Pierpaolo Dini +4 more
doaj +1 more source
Effective Protection for Automotive Electronics from the Electromagnetic Interference
Iosr Journals +1 more
openalex +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Collision avoidance head-up display: design considerations for emergency services' vehicles [PDF]
Bram-Larbi, Kweku +5 more
core +2 more sources

