Results 91 to 100 of about 91,665 (316)
The oversaturation of information flows and the competition among diverse viewpoints underscore the significance of every message that captures the audience’s attention and provokes discussion.
Nadezhda A. Miziryak
doaj +1 more source
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Virtual migrant communities. "Orkut" and the Brazilian case
Schrooten M. Virtual migrant communities. "Orkut" and the Brazilian case. COMCAD Arbeitspapiere - working papers, 80. Bielefeld: COMCAD - Center on Migration, Citizenship and Development; 2010.This paper attempts to provide some insights into ethnography
Schrooten, Mieke
core
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Effective Virtual Teams through Communities of Practice [PDF]
This paper examines the nature of virtual teams and their place in the networked economy. It presents a framework for categorising virtual teams and argues that fundamental changes have taken place in the business environment which force people and ...
Alexis Barlow, Chris Kimble, Feng Li
core
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
THE IMPACT OF VIRTUAL COMMUNITIES ON ENHANCING HEDONISTIC CONSUMER ATTITUDES
Paper presents conceptual issues connected with virtual communities impact on hedonistic consumer attitudes on the base of scholarly literature and secondary sources such as research reports.
Radosław Mącik, Monika Nalewajek
doaj
Community space in complex learning communities : lessons learnt
Highly complex learning communities where diverse participants collaborate to achieve multiple aims through synergy have the potential to be highly creative and productive.
McDonald, D.M., Weir, G.R.S.
core

