Results 181 to 190 of about 812,194 (338)

Enabling Digital Continuity in Virtual Manufacturing for Eco‐Efficiency Assessment of Lightweight Structures by Means of a Domain‐Specific Structural Mechanics Language: Requirements, Idea and Proof of Concept

Advanced Engineering Materials, EarlyView.
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel, Andreas Schuster, Felix Schoenitz, Jean Lefèvre   +3 more
wiley   +1 more source

Medical named entity recognition based on domain knowledge and position encoding. [PDF]

BMC Med Inform Decis Mak
Sun S, Hu Q, Xu F, Hu F, Wu Y, Wang B.
europepmc   +1 more source

Exploiting Domain Knowledge as Causal Independencies in Modeling Gestational Diabetes. [PDF]

Pac Symp Biocomput, 2023
Mathur S, Karanam A, Radivojac P, Haas DM, Kersting K, Natarajan S.   +5 more
europepmc   +1 more source

Domain Knowledge-Informed Fully Autonomous Stay-Cable Monitoring Using Stochastic Subspace Identification

Seung-Seop Jin, Young-Soo Park
openalex   +1 more source

Recent Progress in Oxide‐Based Na‐Ion Conductors

Advanced Engineering Materials, EarlyView.
Recent advances in oxide‐based sodium‐ion conductors are reviewed, focusing on β/β″‐alumina, NASICON‐type compounds, and Na5YSi4O12‐type (N5) silicates, together with emerging perovskite and layered oxides. Improvements in ionic conductivity, compositional tuning, and processing are highlighted.
Bowei Xun, Jian Wang, Hubertus Rainaldo Arindra, Katsuro Hayashi   +3 more
wiley   +1 more source

A self-learning method with domain knowledge integration for intelligent welding sequence planning. [PDF]

Sci Rep
Shen W, Wang X, Li J, Wang Y, Qiao X.
europepmc   +1 more source

Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction. [PDF]

Sensors (Basel), 2023
Guo S, Wang D, Feng Z, Chen J, Guo W.
europepmc   +1 more source

Autonomous Source Knowledge Selection in Multi-Domain Adaptation

Li, Keqiuyin, Lu, Jie, Zuo, Hua, Zhang, Guangquan   +3 more
openalex   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Central venous catheter infections: building a causal model with expert domain knowledge to inform future clinical trials. [PDF]

Antimicrob Resist Infect Control
Schults JA, Wu Y, Snelling T, Pérez Chacón G, Ball D, Charles K, Marsh J, McLeod C, Yasuda H, Rickard CM.   +9 more
europepmc   +1 more source