Results 111 to 120 of about 5,474,085 (350)
State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials
Advanced Materials, EarlyView.Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis +6 more
wiley +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Advanced Materials, EarlyView.Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan +9 more
wiley +1 more source
Journal of Combinatorial Theory, Series B, 1971 AbstractThe problem is considered of determining the distribution of the number of nodes in any given component of a forest obtained by removing edges from a random tree.
openaire +2 more sources
Topology in Biological Piezoelectric Materials
Advanced Materials, EarlyView.This review summarizes the topological structures in biological piezoelectric materials, covering morphology evolution, spatial arrangement, and biomimetic strategies. These topologies modulate structure‐property relationships across multiple scales, enabling performance enhancement and multifunctional integration.
Chen Chen +7 more
wiley +1 more source
Advanced Materials, EarlyView.This study presents a polyanhydride‐based delivery platform for single‐injection, self‐boosting vaccines. The system enables programmable, pulsatile release of diphtheria toxoid with high antigen recovery and is guided by machine learning for tunability. In vivo results show immune responses comparable to multi‐dose regimens, highlighting its potential
Linzixuan Zhang +17 more
wiley +1 more source
Multicritical continuous random trees
Journal of Statistical Mechanics: Theory and Experiment, 2006 We introduce generalizations of Aldous' Brownian Continuous Random Tree as scaling limits for multicritical models of discrete trees. These discrete models involve trees with fine-tuned vertex-dependent weights ensuring a k-th root singularity in their generating function. The scaling limit involves continuous trees with branching points of order up to
Bouttier, Jérémie +2 more
openaire +5 more sources
Multitarget Generate Electrolyte Additive for Lithium Metal Batteries
Advanced Materials, EarlyView.This study presents a deep learning‐assisted generative model for electrolyte additives in lithium metal batteries (LMBs). The approach overcomes data scarcity by proposing the molecular categorization method and achieves 100% generative efficiency.
Xiangyang Liu +12 more
wiley +1 more source
International Journal of Prognostics and Health Management, 2013 This study presents the methods employed by a team from the department of Mechatronics and Dynamics at the University of Paderborn, Germany for the 2013 PHM data challenge.
James K. Kimotho +3 more
doaj +1 more source
Advanced Materials, EarlyView.An optimization model for zinc anodes centered on anion traction in a low‐concentration electrolyte system is proposed. The fluoride‐ion enriched interfacial layer on the zinc anode surface enhances the concentration of Zn2+ in a lateral direction through electrostatic forces, thereby facilitating horizontal zinc plating.
Yiyang Zhang +9 more
wiley +1 more source