Results 101 to 110 of about 1,926,764 (285)
Cu–Au nanoparticles produced by the aggregation of gas‐phase metal atoms for CO oxidation
Aggregate, Volume 3, Issue 6, December 2022., 2022 The aggregation of gas‐phase Cu and Au atoms into Cu–Au nanoparticles with non‐equilibrium structures and compositions is studied using molecular dynamics. Density functional calculations reveal the significant effect of the structure of the obtained realistic models of Cu–Au nanoparticles on their CO and O binding properties as well as their CO ...
Ilya V. Chepkasov +5 more
wiley +1 more source
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
Advanced Functional Materials, EarlyView.This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly +4 more
wiley +1 more source
AIChE Journal, Volume 69, Issue 1, January 2023., 2023 Abstract In recent years, the catalyst pellets made of open‐cell metallic foams have been identified as a promising alternative in fixed‐bed reactors. A reliable modeling tool is necessary to investigate the suitability of different foam properties and the shapes of foam pellets.
Ginu R. George +7 more
wiley +1 more source
Asymptotic Expansion for Multiscale Problems on Non-periodic Stochastic Geometries [PDF]
arXiv, 2011 The asymptotic expansion method is generalized from the periodic setting to stationary ergodic stochastic geometries. This will demonstrate that results from periodic asymptotic expansion also apply to non-periodic structures of a certain class. In particular, the article adresses non-mathematicians who are familiar with asymptotic expansion and aims ...
arxiv
Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting
Advanced Functional Materials, EarlyView.High‐entropy nanoparticles (HENPs) hold great promise for electrocatalysis, yet optimizing their compositions remains challenging. This study employs active learning and Bayesian Optimization to accelerate the discovery of octonary HENPs for hydrogen and oxygen evolution reactions.
Sakthivel Perumal +5 more
wiley +1 more source
Flowsheet generation through hierarchical reinforcement learning and graph neural networks
AIChE Journal, Volume 69, Issue 1, January 2023., 2023 Abstract Process synthesis experiences a disruptive transformation accelerated by artificial intelligence. We propose a reinforcement learning algorithm for chemical process design based on a state‐of‐the‐art actor‐critic logic. Our proposed algorithm represents chemical processes as graphs and uses graph convolutional neural networks to learn from ...
Laura Stops +3 more
wiley +1 more source
Euclidean geometry as algorithm for construction of generalized geometries [PDF]
arXiv, 2005 It is shown that the generalized geometries may be obtained as a deformation of the proper Euclidean geometry. Algorithm of construction of any proposition S of the proper Euclidean geometry E may be described in terms of the Euclidean world function sigma_E in the form S(sigma_E).
arxiv
Fractional Skyrmion Tubes in Chiral‐Interfaced 3D Magnetic Nanowires
Advanced Functional Materials, EarlyView.In chiral 3D helical magnetic nanowires, the coupling between the geometric and magnetic chirality provides a way to create topological spin states like vortex tubes. Here, it is demonstrated how the breaking of this coupling in interfaced 3D nanowires of opposite chirality leads to even more complex topological spin states, such as fractional ...
John Fullerton +11 more
wiley +1 more source
LENGTH DISTRIBUTION OF FUZZY-END SEGMENTS
TASK Quarterly, 2006 We have calculated and discussed the probability density distributions of lengths of fuzzy-end segments, i.e. segments the ends of which assume random positions.
SANDRO FRIGIO +4 more
doaj
Deterministic Writing of Field‐Free and Unipolar Spin‐Transfer Torque Magnetic Random‐Access Memory
Advanced Functional Materials, EarlyView.Deterministic unipolar‐switching STT‐MRAM with field‐free operation is experimentally demonstrated. The device features a compact 4F2 cell architecture using a diode as the access device and a single magnetic tunneling junction. Unlike conventional bipolar switching STT‐MRAM requiring a three‐terminal access transistor in the array, this design offers ...
Ming‐Chun Hong +22 more
wiley +1 more source