Challenges and enablers in fluidization technology
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
wiley +1 more source
δ<sup>13</sup>C and δ<sup>15</sup>N Values of Residues Provide Insights Into Identification of the Explosive Source. [PDF]
Ehleringer JR, Howa JD.
europepmc +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
An enhanced instantaneous detonation model for underwater explosions involving condensed explosives. [PDF]
Chen JP +5 more
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Sonocatalytic carbon dioxide reduction for syngas production over surface‐roughened CuxO catalyst
Abstract The transition to a carbon‐circular economy requires efficient technologies for converting CO2 into value‐added chemical feedstocks. Sonocatalytic CO2 conversion has recently emerged as a compelling approach to drive this conversion. Here, we report a surface‐roughened CuxO catalyst for sonocatalytic CO2 reduction in aqueous media, achieving a
Dong Xia +5 more
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Optimizing program calibration of JWL parameters of detonation products for TKX-50-based explosives from CYLEX tests. [PDF]
Cui H, Wu J, Xu Y, Song P, Guo R.
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Enhancing the Reactivity of Aluminum Powder under Different Heating Rates by Nanoaluminum Powder and Fluororubber. [PDF]
Wu X, Ren H, Yang J, Xin H, Zhang M.
europepmc +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Study on the performance of emulsion explosives sensitized by an oxygen-generating M foaming agent. [PDF]
Wang Q, Lu K, Yao Y.
europepmc +1 more source

