Results 61 to 70 of about 1,707 (213)
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
Portable low THz imaging radars for automotive applications
Compact frequency extenders enable the current generation of portable network analysers to be used in the low THz bands of 150-300 GHz. The wide instantaneous bandwidth of these extenders support complex waveforms within systems intended for automotive ...
David R Vizard +7 more
core +1 more source
Enhancing Angular Resolution Using Neural Networks in Automotive Radars
Poor angular resolution is one of the main disadvantages of automotive radars, and the reason why lidar technology is widely used in the automotive industry.
Roldan Montero, I. (author) +5 more
core +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Efficient Direct Recycling of Spent Batteries: Integrated Lithiation and Delamination
An integrated process for the delamination and relithiation of spent cathodes, LixNi0.6Co0.2Mn0.2O2 and LixFePO4, under open‐air conditions is proposed. The transition‐metal (Ni) oxidation state in the cathode is reduced by the oxidation of diethylene glycol, facilitating relithiation. Glycol aldehyde formation induces 100% electrode delamination.
Jeonghwan Song +11 more
wiley +1 more source
Reduction of interference in microwave automotive radars
A technique is presented to minimise false decisions in automotive microwave radars operating in close proximity. The technique also reduces the requirement on the microwave power of the radar as signals can be detected with very low signal to noise ...
Sobhy, Mohammed, Elsehely, Ehab
core +1 more source
Stochastic-Geometry-Based Interference Modeling in Automotive Radars Using Matérn Hard-Core Process [PDF]
peer reviewedAs the use of radars in autonomous driving systems becomes more prevalent, these systems are increasingly susceptible to mutual interference.
OTTERSTEN, Björn +7 more
core +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
Millimeter-Wave Phased Arrays in Silicon [PDF]
Integration of mm-wave multiple-antenna systems on silicon-based processes enables complex, low-cost systems for high-frequency communication and sensing applications.
Natarajan, Arun Sridhar
core +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source

