Advanced Engineering Materials, EarlyView.This study examines Invar composites reinforced with titanium carbide (TiC) and titanium nitride (TiN) using laser powder bed fusion (LPBF). It presents the influence of reinforcements on microstructure, tensile properties, and thermal expansion. Results show that TiC effectively strengthens Invar while maintaining low thermal expansion, whereas TiN ...
Ayodeji Nathaniel Oyedeji +3 more
wiley +1 more source
Exploiting Tree Structure for Credit Assignment in Reinforcement Learning with Large Language Models. [PDF]
Find ACL ACLTran H, Yao Z, Yu H.
europepmc +1 more source
Rapidly Solidified High‐Strength Invar 36 Prepared by Planar‐Flow Melt Spinning
Advanced Engineering Materials, EarlyView.The Invar 36 alloy was rapidly solidified using the planar‐flow melt‐spinning technique. Ribbon samples with thicknesses ranging from 20 to 160 mm were produced. As the grain size of the ribbon decreased to sub‐micron levels, the hardness increased by more than 2 times.
Bekir Akgül, Mehmet Kul
wiley +1 more source
Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study. [PDF]
JMIR Med InformZhou F +6 more
europepmc +1 more source
Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids
Advanced Functional Materials, EarlyView.This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow +9 more
wiley +1 more source
The present disclosure relates to the field of token management systems, in particular to mechanisms for enabling a token requestor to obtain a token from a token provider and to link a user credential to the token using a session code. One embodiment is
ST, Yuexi Chen
core
No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling
Vision Transformers (ViTs) have demonstrated outstanding performance in computer vision tasks, yet their high computational complexity prevents their deployment in computing resource-constrained environments.
Chen, Yudong +11 more
core +1 more source
Reading to Translate or Translating to Read? Modeling Translators' Eye Movements with Multilingual Pre-Trained Models. [PDF]
J Eye Mov ResZhang Y, Yao X, Li D.
europepmc +1 more source
Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
seqLens: Optimizing Language Models for Genomic Predictions. [PDF]
Mol Biol EvolBaghbanzadeh M +3 more
europepmc +1 more source