Results 231 to 240 of about 344,906 (305)

Benchmarking Large Language Models for Polymer Property Predictions

open access: yesMacromolecular Rapid Communications, EarlyView.
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

A Perspective of Multi‐Reflecting TOF MS

open access: yesMass Spectrometry Reviews, EarlyView.
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

TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System

open access: yesMaterials Genome Engineering Advances, EarlyView.
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

Longitudinal Awake Mouse fMRI During Voluntary Locomotion Using Zero TE Imaging and a Novel Treadmill Training Protocol

open access: yesMagnetic Resonance in Medicine, EarlyView.
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

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
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

A Reconfigurable Memristor-Based Computing-in-Memory Circuit for Content-Addressable Memory in Sensor Systems. [PDF]

open access: yesSensors (Basel)
Hu H   +12 more
europepmc   +1 more source

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