Results 231 to 240 of about 59,222 (317)

GPUMDkit: A User‐Friendly Toolkit for GPUMD and NEP

open access: yesMaterials Genome Engineering Advances, EarlyView.
GPUMDkit is a comprehensive and user‐friendly toolkit for GPUMD and NEP programs, integrating format conversion, structure sampling, property calculation, and visualization into a unified interface, substantially lowering the barrier to entry for machine‐learning molecular dynamics simulations with GPUMD and NEP.
Zihan Yan   +22 more
wiley   +1 more source

MatterMind: A User‐Friendly Material Design Platform Assisted by Large Language Model

open access: yesMaterials Genome Engineering Advances, EarlyView.
The lack of user‐friendly tool interfaces has restricted the popularization of data‐driven methods in scientific research. In this study, we present MatterMind, a user‐friendly, agentic interface that closes the loop between first‐principles computation, generative structure design, and large language model (LLM) analysis. ABSTRACT Machine learning and
Kaiyang Xu   +3 more
wiley   +1 more source

RxMap: an LLM-assisted tool for medication normalization. [PDF]

open access: yesJAMIA Open
Korpela E, Rubin LH, Dastgheyb RM, Xu Y.
europepmc   +1 more source

A Hybrid Rule‐Based and Large Language Model Artificial Intelligence System for Electrodiagnostic Reporting: Two‐Center Retrospective Evaluation

open access: yesMuscle &Nerve, EarlyView.
ABSTRACT Introduction/Aims Electrodiagnostic (EDX) studies comprise nerve conduction studies (NCS) and needle electromyography (EMG). However, EDX reporting is heterogeneous across laboratories and often requires time‐consuming documentation. We aimed to evaluate a hybrid rule‐based and constrained large language model (LLM) system that drafts EDX ...
Yesung Jung   +3 more
wiley   +1 more source

The Molecular Heterogeneity of NRAS Variants in Thyroid Nodules

open access: yesOtolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective NRAS variants are the most common mutations in thyroid nodules with (B)ethesda III/IV cytology. This study aims to characterize co‐occurring variants, molecular signatures, and hallmarks of cancer pathways in nodules with NRAS variants. Study Design Retrospective database analysis.
Emma De Ravin   +5 more
wiley   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

open access: yesPolymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci   +2 more
wiley   +1 more source

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