Results 91 to 100 of about 2,611,781 (277)
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.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
Border Crossing: Active and Deep Learning in a Large Global Consumption Class [PDF]
, 2005 Jana M. Hawley
openalex +1 more source
Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Advanced Engineering Materials, EarlyView.Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang +8 more
wiley +1 more source
Deep Learning, Critical Thinking and Teaching for Law Reform [PDF]
, 2005 Anne Macduff
openalex +1 more source
Advanced Engineering Materials, EarlyView.The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay +3 more
wiley +1 more source
The Evolution of Seismicity and Subsequent Learning Experiences in Deep Lead, Mount Isa Mines, Xstrata Zinc [PDF]
, 2005 Iain Thin +3 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.A multimaterial approach is introduced to improve upon auxetic structures by combining two different polymers into the same reentrant honeycomb structure via additive manufacturing. The deformation behavior as well as the resulting Poisson's ratio are thereby improved significantly.
Alexander Engel +2 more
wiley +1 more source
, 2016 Invited talk about Deep Learning on Graphs for the "Deep Learning on Irregular Domains" that took place at BMVC 2017 in London.
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This review explores wafer bonding technologies, covering wafer preparation, activation methods, and bonding mechanisms. It compares direct and indirect bonding, highlights recent advancements and future trends, and examines applications in 3D integration and packaging.
Abdul Ahad Khan +5 more
wiley +1 more source
How Do We Help Students Build Beliefs That Allow Them to Avoid Critical Learning Barriers and Develop A Deep Understanding of Geology? [PDF]
, 2007 Burçkin Dal
openalex +1 more source