Results 71 to 80 of about 1,540,853 (195)

Mechanisms of Increasing Weld Depth during Temporal Power Modulation in High‐Power Laser Beam Welding

Advanced Engineering Materials, EarlyView.
Temporal power modulation increases weld depth in high‐power laser beam welding of dissimilar round bars by nearly 20% compared to same average continuously welded welding power. The mechanism of action also applies to sheet welding and depends on the inertia of keyhole depth for the modulated laser beam power.
Jan Grajczak, David Reynders, Christian Nowroth, Jens Twiefel, Jörg Wallaschek, Sarah Nothdurft, Jörg Hermsdorf, Stefan Kaierle   +7 more
wiley   +1 more source

Trans‐Conductive Melt Pool Scaling and its Implications for Parameter Transfer in Laser Powder Bed Fusion for Metals with High Thermal Diffusivity

Advanced Engineering Materials, EarlyView.
Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring, Matthias Gehring, Michael Schmidt   +2 more
wiley   +1 more source

Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs [PDF]

arXiv, 2019
Two types of knowledge, triples from knowledge graphs and texts from documents, have been studied for knowledge aware open-domain conversation generation, in which graph paths can narrow down vertex candidates for knowledge selection decision, and texts can provide rich information for response generation.
arxiv  

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

TorusE: Knowledge Graph Embedding on a Lie Group

, 2017
Knowledge graphs are useful for many artificial intelligence (AI) tasks. However, knowledge graphs often have missing facts. To populate the graphs, knowledge graph embedding models have been developed.
Ebisu, Takuma, Ichise, Ryutaro
core   +1 more source

Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization [PDF]

arXiv, 2019
We present a family of novel methods for embedding knowledge graphs into real-valued tensors. These tensor-based embeddings capture the ordered relations that are typical in the knowledge graphs represented by semantic web languages like RDF. Unlike many previous models, our methods can easily use prior background knowledge provided by users or ...
arxiv  

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, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

On the Rigidity and Mechanical Behavior of Triply Periodic Minimal Surfaces‐Based Lattices: Insights from Extensive Experiments and Simulations

Advanced Engineering Materials, EarlyView.
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle, Humberto Terrones, Carlos González   +2 more
wiley   +1 more source

Variational Reasoning for Question Answering with Knowledge Graph

, 2017
Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one to further infer indirect facts. However, it is challenging to build QA systems
Dai, Hanjun, Kozareva, Zornitsa, Smola, Alexander J., Song, Le, Zhang, Yuyu   +4 more
core   +1 more source

Influence of a Hydrogen Addition to the Inert Gas and Subsequent Heat Treatments on the Microstructure and Mechanical Properties of Magnesium WE43 Fabricated by PBF‐LB/M

Advanced Engineering Materials, EarlyView.
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, Elmar Jonas Breitbach, Hannes Holländer, Michael Müller, Tjorben Griemsmann, Christian Klose, Jörg Hermsdorf, Hans Jürgen Maier, Stefan Kaierle, Ludger Overmeyer   +9 more
wiley   +1 more source