Results 141 to 150 of about 125,603 (264)

Real-Time AI-Based Radiotherapy Planning for Nasopharyngeal Carcinoma: Development and Validation. [PDF]

Cyborg Bionic Syst
Wang G, Yang X, Ni Q, Tang J, Huang K, Guo H, Jiang X, Diao W, Li H, Yang Y, Jia L, Liu Y, Deng J, Zhang K, Li D, Huang X, Jiang F, Zhou G, Sun Y.   +18 more
europepmc   +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

Quantitative assessment of CBCT image quality metrics and their translation to clinical Art workflow performance in breast cancer patients. [PDF]

J Appl Clin Med Phys
Kim S, Lee YK, Cheon W, Seol Y, Choi BO, Kang YN.   +5 more
europepmc   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Dataset of molecular dual-atom site complexes for catalysis. [PDF]

Data Brief
Nguyen BL, Madsen TK, Ivanistsev V, Kongi N.   +3 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Adapt-on-demand: Enabling flexible and scalable adaptive radiotherapy through workflow automation. [PDF]

J Appl Clin Med Phys
Domal S, Choi MG, Visak J, Li R, Li T, Teo BK, Zhao X, Schmidt M, Laugeman E, Parsons D, Park YK, Badiyan S, Sher D, Lin MH.   +13 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Clinical Applications of Deep Learning for Glottal Area Segmentation and Glottal Area Waveform Feature Computation. [PDF]

IEEE Open J Eng Med Biol
Wu YC, Liang SF, Cheng MC, Su HC, Hsu CM.   +4 more
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source