Results 211 to 220 of about 2,076,530 (279)

Use of a Generative Pretrained Transformer to Answer Questions and Facilitate a Large Randomized Controlled Trial. [PDF]

J Am Heart Assoc
Brown DL, Novitski K, Sickler JB, Hankla RM, Khattak F, Philpot E, Durkalski-Mauldin V, Sayyahmelli S, Patino C, Arevalo-Bermudez F, Roberts M, Sahelian A, Chervin RD.   +12 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

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

Dataset creation and benchmarking for Kashmiri news snippet classification using fine-tuned transformer and LLM models in a low resource setting. [PDF]

Sci Rep
Deyar DU, Ramani A, Gupta D, Nair PC, Venugopalan M.   +4 more
europepmc   +1 more source

Optimizing Post Friction Stir Welding Heat Treatment in Dissimilar Friction Stir Welded 6061/AlSi10MgMn Joints for Electrical Vehicle Battery Housing

Advanced Engineering Materials, EarlyView.
Microstructural evolution and hardness optimization along the cross‐section of friction stir welded AA6061/AlSi10MgMn joints, for electric vehicle battery housings, were investigated. Postweld aging between 170°C and 220°C enhances hardness uniformity within the nugget zone.
Emanuele Ghio, Emanuela Cerri
wiley   +1 more source

High-Precision, Wide-Ratio, Self-Balancing Current Comparator. [PDF]

Sensors (Basel)
Wang X, Li H, Liu H, Ding X, Wang J, Zhao P, Jiang H.   +6 more
europepmc   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

Advanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel, Lea Dierker, Antoine Eyram Kwame, Kim Nora Wagner, Jonas J. Unterholzner, Jan‐Henning Dirks, Dorothea Brüggemann   +6 more
wiley   +1 more source

Improving dental disease diagnosis using a cross attention based hybrid model of DeiT and CoAtNet. [PDF]

Sci Rep
Elazab N, Nader N, Alsakar Y, Mohamed W, Elmogy M.   +4 more
europepmc   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

A Hybrid Transformers-based Convolutional Neural Network Model for Keratoconus Detection in Scheimpflug-based Dynamic Corneal Deformation Videos. [PDF]

J Ophthalmic Vis Res
Abdelmotaal H, Hazarbasanov RM, Salouti R, Nowroozzadeh MH, Taneri S, Al-Timemy AH, Lavric A, Takahashi H, Yousefi S.   +8 more
europepmc   +1 more source