Results 151 to 160 of about 67,376,609 (305)
Descriptor‐Informed Screening of Interface‐Active Molecules for Efficient Magnesium Metal Anodes
Advanced Materials, EarlyView.A descriptor‐informed molecular screening strategy identifies 4‐bromo‐N, N‐dimethylaniline (BrNNA) as an interface‐active electrolyte component that enables fast Mg stripping/plating in Mg(TFSI)2‐based electrolytes. By simultaneously regulating Mg2+ solvation and interphase formation, the BrNNA‐containing electrolyte delivers activation‐free Mg ...
Hao Xu +16 more
wiley +1 more source
Research Frontier in Chaos Theory and Complex Networks. [PDF]
Entropy (Basel), 2018 Chen G +4 more
europepmc +1 more source
Analyzing Inefficiency Using a Frontier Search Approach [PDF]
Efficiency measurement naturally requires the definition of a frontier as a benchmark indicating efficiency. Usually a measure reflecting the distance of a data point to the frontier indicates the level of efficiency.
Bernd Ebersberger +2 more
core
Methanesulfonic Acid as a Dual‐Role Reagent for Porous Polymer Network Design
Advanced Materials, EarlyView.The design of porous polymer networks (PPNs) using methanesulfonic acid (MSA) as a dual‐role reagent facilitates the synthesis of robust PPNs for specific applications. It also makes the scale‐up process techno‐economically feasible because MSA functions simultaneously as both a solvent and a catalyst for the reaction.
Kelechi Festus +8 more
wiley +1 more source
[Research frontier of inflammatory bowel disease]. [PDF]
Zhejiang Da Xue Xue Bao Yi Xue Ban, 2019 Fan Y, Lyu B.
europepmc +1 more source
Bayesian Stochastic Frontier Analysis Using WinBUGS [PDF]
Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software.
Mark Steel, Jim Griffin
core
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Advanced Materials, EarlyView.Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
AN EMPIRICAL SURVEY OF FRONTIER EFFICIENCY MEASUREMENT TECHNIQUES IN HEALTHCARE SERVICES [PDF]
Healthcare institutions worldwide are increasingly the subject of analyses aimed at defining, measuring and improving organisational efficiency. However, despite the importance of efficiency measurement in healthcare services, it is only relatively ...
Andrew Worthington
core
A Critical Call for Mechanistic Investigations of Metal‐Bacteria Interactions
Advanced Materials, EarlyView.It is well established that the antibacterial properties of metals have tremendous importance for bioengineering applications. What is not as appreciated, however, is the reproducibility crisis in this field's vast literature. In this perspective, we highlight this reproducibility problem, discuss its sources, and suggest solutions towards focused ...
J. Rackwitz +9 more
wiley +1 more source