Results 211 to 220 of about 182,792 (282)
Thermoeconomic optimization of a hybrid power and cooling facility using waste heat recovery from a marine diesel engine. [PDF]
Ben Hamida MB +3 more
europepmc +1 more source
A type of magnetically responsive artificial cells (ACs) has been developed, demonstrating the loading of mitochondria and self‐enclosure processes to ensure the protection of mitochondrial transport via the bloodstream. The treatment with ACs effectively transplanted mitochondria around the lesion, thereby improving neurological recovery by supporting
Mi Zhou +10 more
wiley +1 more source
From Latent Manifolds to Targeted Molecular Probes: An Interpretable, Kinome-Scale Generative Machine Learning Framework for Family-Based Kinase Ligand Design. [PDF]
Verkhivker G, Kassab R, Krishnan K.
europepmc +1 more source
Metal‐covalent organic frameworks (MCOFs) are novel porous materials that exhibit the advantages of covalent and metal‐organic frameworks. However, it is extremely difficult to resolve their atomic structure and better understand their structure‐properties relation. This work utilizes a synergistic combination of advanced microscopy, spectroscopic, and
Seán Hennessey +11 more
wiley +1 more source
Pareto-Driven Multiobjective Design of Axial-Flow Automotive Fan with Response Surface Modeling. [PDF]
Ren K +5 more
europepmc +1 more source
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
A novel automated framework for multi-engine Monte Carlo model commissioning in proton therapy. [PDF]
Pi Y +6 more
europepmc +1 more source
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje +7 more
wiley +1 more source
Machine Learning-Powered Vision for Robotic Inspection in Manufacturing: A Review. [PDF]
Patrashko DY, Gurau V.
europepmc +1 more source

