Results 271 to 280 of about 1,437,104 (331)

Reevaluating the Activity of ZIF‐8 Based FeNCs for Electrochemical Ammonia Production

Advanced Functional Materials, EarlyView.
Though receiving much attention, the field of electrochemical nitrogen reduction reaction (eNRR) to ammonia is marked by doubts about whether this reaction is possible in aqueous media. This work sheds light on this question for iron single‐atom on N‐doped carbon (FeNC) catalysts—a class of well‐known catalysts that is also worth testing for the sister
Caroline Schneider, S. Esmael Balaghi, Niklas Ortlieb, Patrick Elsaesser, Sima Heidari, Christopher S. Allen, Anna Fischer   +6 more
wiley   +1 more source

Multiscale structural complexity as a quantitative measure of visual complexity. [PDF]

Perception
Kravchenko A, Bagrov AA, Katsnelson MI, Dudarev V.   +3 more
europepmc   +1 more source

The Computational Study of Fly Swarms & Complexity

, 2018
Austin Bebee
openalex   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

A lightweight transformer framework for open set anomaly segmentation in smart city applications. [PDF]

Sci Rep
Prabha MM, Suganthi K.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network. [PDF]

Sci Rep
Juraev R, Kim IM, Yun S, Kang JM.
europepmc   +1 more source

Increasing the complexity of computational protein modeling methodologies for functional applications in biology

, 2017
Kyle A. Barlow
openalex   +1 more source

An Improved Extensive Cancellation Method for Clutter Removal in Passive Bistatic Radar. [PDF]

Sensors (Basel)
Chen G, Su S, Zhang D, Wang S, Ping Y, Li F.   +5 more
europepmc   +1 more source

Robust Bayesian Games Under Knightian Uncertainty: Equilibrium Existence, Computation, and Complexity

Mazumder, Devdyuti
openalex   +1 more source