Results 101 to 110 of about 879,818 (292)
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Clean energy transitions and health. [PDF]
Li M, Geng Y, Zhou S, Sarkis J.
europepmc +1 more source
Acoustic emissions during direct laser interference patterning are shown to strongly correlate with surface texture depth. By implementing a closed‐loop control system utilizing acoustic feedback, consistent microstructures with uniform depth are achieved despite laser power fluctuations.
Tobias Steege+4 more
wiley +1 more source
Alkaline water electrolysers are ideal for gigawatt-scale hydrogen production due to the usage of non-precious metal and low-cost raw materials. However, their performances are modest with the separated electrode and diaphragm structure which can date ...
Zhuang Xu+7 more
doaj +1 more source
Range-extended electric vehicles have the most complex noise and vibration problems since certain control strategies often make range extenders (REs) shut down or restart for the sake of better fuel consumption.
Rong Guo+3 more
doaj +1 more source
Multiple plasma surface treatments improved the Mode I fracture energy of metal‐carbon‐fiber‐reinforced thermoplastic polymer (CFRTP) joints by ≈240% compared to single treatments and nearly 2000% over untreated joints. This significant enhancement, achieved without modifying CFRTP surface roughness, is attributed to improved chemical bonding at the ...
Angela A. Lee+4 more
wiley +1 more source
Atomic Arrangement of the Clean Si(110) 5x1 Surface Derived by Low Energy Scattering Spectroscopy [PDF]
Y.G. Shen, DJ O’Connor, R.J. MacDonald
openalex +1 more source
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley +1 more source
The study investigates 3D‐printed polylactic acid (PLA) composites with biodegradable bamboo and jute powder fillers. Mechanical, thermal, structural properties, and rheological behavior are discussed to evaluate composite performance. Morphological characterization indicates uniform dispersion and adhesion of the fillers in the PLA matrix with the ...
Vimukthi Dananjaya+4 more
wiley +1 more source