Challenges and enablers in fluidization technology
AIChE Journal, EarlyView.Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
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Examining the Predictors of Life Satisfaction in College Students With Intellectual Disability. [PDF]
J Intellect Disabil ResVan Gaasbeek EK, Tassé MJ.
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.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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Correlation of Intelligence Quotient and Prevalence of Dental Caries in 5-11-Year-old Orphan Children Using Raven's Colored Progressive Matrices. [PDF]
Int J Clin Pediatr DentGangwal R +7 more
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Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion
Advanced Intelligent Discovery, EarlyView.This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
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Exploring the Influence of LGBTQ+ and Religious Attitudes in Sexual Health Education for College Students With Intellectual and Developmental Disabilities. [PDF]
J Appl Res Intellect DisabilLurie KJ +5 more
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Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
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Relationship between pain, quality of sleep, sleep bruxism and patients' personality among individuals with reported orofacial pain. [PDF]
Sci RepOrzeszek S +6 more
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Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
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