Results 141 to 150 of about 815,076 (298)
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 +6 more
wiley +1 more source
Set-theoretic operation of polygons unification on a plane 1
Informatika, 2019 The methods for performing the set-theoretic operation of combining topological objects defined as polygons on a plane are developed. The basic concepts and definitions associated with the consideration of a polygon and a combination of two intersecting ...
A. A. Butov
doaj
Computational Framework to Evaluate the Hydrodynamics of Cell Scaffold Geometries
, 2020 Daniel F. Puleri +3 more
openalex +2 more sources
Geometry based mapping strategies for PDE computations [PDF]
, 1991 Nikos Chrisochoides +2 more
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
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 +7 more
wiley +1 more source
Geometry Attributes Computation of 3D Model for Additive Manufacturing
, 2019 Min Zhou, Guolei Zheng
openalex +1 more source
Quantitatively Structuring A Trabecular Network Using Computational Geometry Techniques [PDF]
, 2014 Yi Xiao, Ali Abdollahi, Qing‐Hua Qin
openalex +1 more source