Results 161 to 170 of about 119,472 (328)

Origin of <i>Neisseria meningitidis</i> clonal complex 4821. [PDF]

open access: yesEmerg Microbes Infect
Tan Z   +9 more
europepmc   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar   +3 more
wiley   +1 more source

The Distributed Minimum Spanning Tree Problem [PDF]

open access: yes, 2018
Pandurangan, Gopal   +2 more
core  

Multistable Composite Laminate Grids as a Design Tool for Soft Reconfigurable Multirotors

open access: yesAdvanced Intelligent Systems, EarlyView.
Flexible, lightweight, stable: the reconfigurable multirotor combines stable flight in multiple shapes with low‐energy reconfiguration. Utilizing optimized multistable composites, it achieves self‐locking in open and folded configurations, cutting width‐span by 48% and allowing for safe gap traversal.
Luca Girardi   +4 more
wiley   +1 more source

Advancements in Machine Learning for Microrobotics in Biomedicine

open access: yesAdvanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi   +6 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

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