Results 231 to 240 of about 263,832 (306)
Research on cloud-edge-end distributed collaborative computing based on deep reinforcement learning. [PDF]
Wu C +5 more
europepmc +1 more source
Benchmarking Large Language Models for Polymer Property Predictions
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta +3 more
wiley +1 more source
RFID Sensor with Integrated Energy Harvesting for Wireless Measurement of dc Magnetic Fields. [PDF]
Fu S, Bridges GE, Kordi B.
europepmc +1 more source
A Perspective of Multi‐Reflecting TOF MS
ABSTRACT Time‐of‐flight mass spectrometry (TOF MS) excels in rapid and high‐sensitivity analysis, making it a cornerstone of analytical chemistry. But as sample complexity explodes in omics studies, so does the need for higher resolving power to ensure accurate results.
A. N. Verenchikov +3 more
wiley +1 more source
Galloping behavior of insulated overhead transmission line based on aerodynamic analysis. [PDF]
Liang H +5 more
europepmc +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source
A 0.6-V All-Digital Temperature Sensor with Reduced Supply Sensitivity. [PDF]
Zhou H, Wang Y, Xie S.
europepmc +1 more source
ABSTRACT Purpose Functional MRI (fMRI) in awake rodents presents countless valuable opportunities for researchers to probe questions that may not be accessible through anesthetized models, such as voluntary locomotion. The commonly used echo planar imaging (EPI) sequence is highly sensitive to motion that occurs even outside of the imaging plane ...
Lauren Daley +3 more
wiley +1 more source
Noise-Robust-Based Clock Parameter Estimation and Low-Overhead Time Synchronization in Time-Sensitive Industrial Internet of Things. [PDF]
Tang L, Li F, Yu Z, Zeng H.
europepmc +1 more source
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao +3 more
wiley +1 more source

