Results 81 to 90 of about 1,775,336 (273)
Anion Recognition by Organometallic Calixarenes: Analysis from Relativistic DFT Calculations
, 2018 The physical nature of the noncovalent interactions involved in anion recognition was investigated in the context of metalated calix[4]arene hosts, employing Kohn–Sham molecular orbital (KS-MO) theory, in conjunction with a canonical energy ...
Alexandre O. Ortolan (4983845) +5 more
core +2 more sources
From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics
Advanced Functional Materials, EarlyView.We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou +3 more
wiley +1 more source
Communications ChemistryPromiscuity, or selectivity on a spectrum, is an encoded feature in biomolecular anion recognition. To unravel the molecular drivers of promiscuous anion recognition, we have employed a comprehensive approach – spanning experiment and theory – with the ...
Ke Ji +9 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Fully additive vertical organic electrochemical transistors (vOECTs) with channel‐length of 226 nm on a 50 µm compostable substrate achieve >106 current modulation and ∼36 mS transconductance. Ion‐selective integration enables 1.1 mA dec−1 sensitivity and 36 µm detection limit, highlighting a scalable platform for sustainable electronics and ...
Giulia Frusconi +3 more
wiley +1 more source
Anion-Induced Self-Assembly of Bis(cyclopeptides) with Rigid Linkers
ChemistryThe presence of sulfate anions induces the self-assembly of anion-binding bis(cyclopeptides) in which two cyclopeptide rings are connected via a rigid linker.
Elisavet Kaitatzi +2 more
doaj +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies
Advanced Functional Materials, EarlyView.Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke +3 more
wiley +1 more source
Bile Acid Scaffolds in Supramolecular Chemistry: The Interplay of Design and Synthesis
Molecules, 2007 Since early work in the 1980s, the bile acids have become well established as building blocks for supramolecular chemistry. The author’s laboratory has specialised in converting cholic acid, the archetypal bile acid, into macrocyclic and acyclic ...
Anthony P. Davis
doaj +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
Advanced Functional Materials, EarlyView.We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source