Results 181 to 190 of about 19,760 (270)

Comparing non‐staining methods with Mutvei's solution to visualize growth increments in short‐lived intertidal marine gastropod shells

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Mutvei's solution is a widely utilized standard staining method for revealing growth increments in biogenic carbonates; however, it is a slightly toxic, destructive approach with varying success across species groups. Therefore, there has been growing interest in finding non‐toxic, less destructive, and straightforward alternative techniques ...
Mahsa Alidoostsalimi   +7 more
wiley   +1 more source

An Integrative Framework and Research Agenda for Diversity, Equity, and Inclusion in AI‐Driven Marketing

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly reshaping modern marketing practice, yet whether this technology will ultimately advance or hinder diversity, equity, and inclusion in the marketplace remains unknown. On the one hand, AI promises to deliver better, more powerful services and products to a wider customer base. On the other hand, however,
Darius‐Aurel Frank   +4 more
wiley   +1 more source

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

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

open access: yesMacromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig   +7 more
wiley   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

open access: yesMacromolecular 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

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