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
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The impact of mergers and acquisitions on technological innovation in state-owned enterprises: The moderating role of mixed-ownership. [PDF]
Wu N, Guo F, Wang B.
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Advancements in Machine Learning for Microrobotics in Biomedicine
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi+6 more
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FinSafeNet: securing digital transactions using optimized deep learning and multi-kernel PCA(MKPCA) with Nyström approximation. [PDF]
Khan AR+8 more
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This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari+6 more
wiley +1 more source
Blockchain and explainable-AI integrated system for Polycystic Ovary Syndrome (PCOS) detection. [PDF]
Jaganathan G, Natesan S.
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Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. [PDF]
Rashid MRA+10 more
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6D object pose estimation is a critical component in computer vision domain. A deep bidirectional fusion network is developed, DBF‐Net, which achieves accurate 6D object pose estimation using a single RGB‐D image. DBF‐Net effectively extracts and fuses geometric and appearance features from input data.
Xuan Fan+5 more
wiley +1 more source
Comprehensive Assessment and Trading Mechanism of Carbon Sink in China's Marine Aquaculture. [PDF]
Yu X, Guo H, Chen Q.
europepmc +1 more source