Results 131 to 140 of about 2,063,711 (296)

Benchmarking Large Language Models for Polymer Property Predictions

Macromolecular 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, Akhlak Mahmood, Shivank Shukla, Rampi Ramprasad   +3 more
wiley   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

Macromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source

Comparing predictors of sentence self-paced reading times: Syntactic complexity versus transitional probability metrics. [PDF]

PLoS One, 2021
Kapteijns B, Hintz F.
europepmc   +1 more source

Movement Disorders Associated with 22q11.2 Microdeletion: A Scoping Review

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Movement disorders have recently emerged as important neurologic manifestations of the 22q11.2 microdeletion that affects nearly one in every 2000 live births. Objective We aimed to map the existing evidence regarding the spectrum, diagnosis and treatment, and etiopathogenesis of movement disorders associated with 22q11.2 ...
Nikolai Gil D. Reyes, Daniel G. Di Luca, Connie Marras, Erik Boot, Ryan K.C. Yuen, Anthony E. Lang, Anne S. Bassett   +6 more
wiley   +1 more source

New Opportunities For the Integration of Artificial Intelligence With Materials Science: From Large Language Models to Embodied Large Models

Materials Genome Engineering Advances, EarlyView.
This review first introduces the diversified applications of large language models in materials discovery. Subsequently, the evolution of autonomous experimentation platforms empowered by large language models is analyzed. Finally, four key future research interests are proposed to develop embodied large models for driving autonomous experimentation ...
Zhen Song, Yishuai Cai, Yadong Yu, Pan Xiang, Minglong Li, Zhe Liu, Mengyan Dai   +6 more
wiley   +1 more source

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

Materials 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, Xin Li, Huangchao Xu, Zhong Jin, Quansheng Wu, Ce Li   +5 more
wiley   +1 more source

Development and Validation of the Professional Self‐Concept Scale for Hospital Nurses (PSCS‐HN)

Research in Nursing &Health, EarlyView.
ABSTRACT Professional self‐concept (PSC) has a positive influence on the attitudes and behaviors of members of an organization toward their work. Although establishing PSC is vital for nurses to provide quality nursing care, assessing PSC precisely in ever‐changing healthcare environments can be challenging.
Eun‐Ha Kim, Hye‐Ah Yeom
wiley   +1 more source

Understanding smallholder decision‐making to increase farm tree diversity: Enablers and barriers for forest landscape restoration in Western Kenya

People and Nature, EarlyView.
Abstract Integrating diverse trees and shrubs (hereafter ‘trees’) in agricultural landscapes has emerged as a crucial nature‐based solution to the triple challenge of biodiversity loss, climate change and food security. The potential benefits of on‐farm trees for both people and nature, however, are often constrained by inadequate consideration of ...
Ennia Bosshard, Harrison Carter, Lillian Aluso, Reuben Chumba, Christopher N. Kaiser‐Bunbury, Chris J. Kettle, Ana Nuno   +6 more
wiley   +1 more source

Effect distances of road traffic noise on wildlife behaviour: A soundscape mapping approach using bird habitat selection

People and Nature, EarlyView.
Abstract Road traffic noise is a pervasive environmental pollutant that negatively affects wildlife globally. Despite growing research, quantifying the spatial extent of noise impacts remains underdeveloped. Soundscape mapping from social sciences and engineering literature offers a useful yet rarely implemented tool to depict noise impact distances ...
Yael Lehnardt, Gopal Murali, Uri Roll, Oded Berger‐Tal   +3 more
wiley   +1 more source

Linguistic complexity in high-school students’ EFL writing

ExELL (Explorations in English Language and Linguistics)
This study examined the syntactic and semantic complexity of L2 English writing in a Bosnian- Herzegovinian high school. Forty texts written by individual students, ten per grade, were quanti-tatively analyzed by applying methods established in previous
Amer Delić, Alma Jahić Jašić
doaj