Results 231 to 240 of about 2,513,922 (331)
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
A novel approach to cancer treatment planning using inverse sum indeg index of fuzzy graphs. [PDF]
Jana U, Ghorai G.
europepmc +1 more source
Optimal elimination for sparse symmetric systems as a graph problem. [PDF]
William R. Spillers, Norris Hickerson
openalex +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
Efficient Circuit Implementations of Continuous-Time Quantum Walks for Quantum Search. [PDF]
Portugal R, Moqadam JK.
europepmc +1 more source
Inequalities involving the genus of a graph and its thicknesses [PDF]
Lowell W. Beineke, Frank Harary
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
Drug-drug interaction analysis based on information bottleneck graph neural network: A review. [PDF]
Wang S.
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