Results 251 to 260 of about 296,346 (327)
VueGen: automating the generation of scientific reports. [PDF]
Ayala-Ruano S, Webel H, Santos A.
europepmc +1 more source
Block Copolymers: Emerging Building Blocks for Additive Manufacturing
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson +3 more
wiley +1 more source
Proteins, Processing, and Properties of Adhesive Fluid Condensates Purified from Mussels
Mussels exhibit an unmatched proficiency for adhering to wet surfaces in salty environments—a remarkable ability that could inspire new biomedical and technical glues. The fluid protein condensates used to form the underwater mussel glue are extracted, reconstituted and characterized with advanced spectroscopy and nanomechanical analysis, revealing ...
Mathieu D. Rivard +8 more
wiley +1 more source
Conceptual basis of designing information-analytical Web-based management system educational process Physics and Mathematics Faculty [PDF]
Світлана Карплюк
openalex
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou +7 more
wiley +1 more source
This study demonstrates coherent control of 15N nuclear spins coupled to VB−${\text{V}}_{\text{B}}^{-}$ centers in isotope‐enriched hexagonal boron nitride. Selective addressing via spin‐state mixing enables Rabi driving, quantum gates, and coherence times exceeding 10 μs$\umu{\rm s}$.
Adalbert Tibiássy +6 more
wiley +1 more source
Antecedents of data analytics adoption: A systematic literature review from 2018-2024. [PDF]
Husni A +2 more
europepmc +1 more source
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
IoT-Based System for Real-Time Monitoring and AI-Driven Energy Consumption Prediction in Fresh Fruit and Vegetable Transportation. [PDF]
Kamyod C +11 more
europepmc +1 more source

