Results 221 to 230 of about 841,611 (282)
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
Optimizing document management and retrieval with multimodal transformers and knowledge graphs. [PDF]
Chen Y, Hu B, Liu Y.
europepmc +1 more source
This article investigates optimal processing conditions for the laser‐based powder bed fusion of WE43. To limit the interaction with remaining oxygen, a 3 vol% hydrogen admixture to the inert gas is investigated. Furthermore, heat treatments are investigated in the range of 250–350 °C for 48 h.
Arvid Abel+9 more
wiley +1 more source
Measuring social mobility in temporal networks. [PDF]
Barnes MR, Nicosia V, Clegg RG.
europepmc +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
Gain-Switched Ho:YAP Laser with a 6.7 ns Pulse Duration at 2117 nm. [PDF]
Goldfisher D+4 more
europepmc +1 more source
Direct Consolidation of Copper–Graphene Composite by Rotary Swaging
The applicability of the rotary swaging method for preparation of electroconductive copper–graphene composite by direct consolidation of powders is proven. The consolidated material features advantageous microstructure featuring fine grains and twins, with homogeneous distribution of graphene, primarily along the twin boundaries, which contribute to ...
Radim Kocich+2 more
wiley +1 more source
Application of a metabolic network-based graph neural network for the identification of toxicant-induced perturbations. [PDF]
Yuan K, Nault R.
europepmc +1 more source
Bounds for the rank of a complex unit gain graph in terms of the independence number
Shengjie He, Rong‐Xia Hao, Aimei Yu
openalex +2 more sources
What happens when 32 labs join forces to study nanoparticle‐modified powders? A data‐driven journey through laser powder bed fusion—now openly accessible for the entire additive manufacturing community—is studied. Laser powder bed fusion is a cornerstone technology for additive manufacturing (AM) of metals and polymers, yet challenges in achieving ...
Ihsan Murat Kuşoğlu+73 more
wiley +1 more source