A multiscale Bayesian optimization framework for process and material codesign
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley +1 more source
Mechanism of action of curculigoside ameliorating osteoporosis: an analysis based on network pharmacology and experimental validation. [PDF]
Wei C, Zhang W, Lou C, Li N, Cao H.
europepmc +1 more source
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
RAPPID-M: A Mix-and-Measure Bioluminescent Sandwich Immunoassay Based on Generic Antibody-Binding Protein M. [PDF]
Swietlikowska A +4 more
europepmc +1 more source
Efficiency comparison of hydrogen fuelled IC engines with gasoline- and methanol fuelled engines [PDF]
Demuynck, Joachim +4 more
core
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
A Drought-Activated Bacterial Symbiont Enhances Legume Resilience Through Coordinated Amino Acid Metabolism. [PDF]
Nishu SD, No JH, Wee GN, Lee TK.
europepmc +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
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Effect of Auxiliary Hydrogen Injection in the Prechamber on the Combustion Process of a Natural Gas Engine. [PDF]
Yang X +5 more
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
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