Results 111 to 120 of about 63,187 (260)

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, Hattie R. Chisnall, Jesus Vazquez Chavez, Ana B. Jorge Sobrido   +3 more
wiley   +1 more source

Content Validation of an Instrument for the Assessment of School Teachers' Levels of Knowledge of Diabetes through Expert Judgment. [PDF]

Int J Environ Res Public Health, 2020
Luque-Vara T, Linares-Manrique M, Fernández-Gómez E, Martín-Salvador A, Sánchez-Ojeda MA, Enrique-Mirón C.   +5 more
europepmc   +1 more source

Gate‐Programmable Linearization of Atomically Thin Nanoelectromechanical Resonators via Duffing Nonlinearity Cancellation

Advanced Functional Materials, EarlyView.
Gate bias is used to cancel Duffing nonlinearity in atomically thin MoS2 drumhead resonators, switching their response from hardening to softening and creating a nearly linear operating point. This electrical control suppresses hysteresis, enables stronger linear drive, and improves signal‐to‐noise ratio, offering a practical route to stable 2D NEMS ...
Pengcheng Zhang, Miroslav Haluska, Cosmin Roman, Christofer Hierold   +3 more
wiley   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Expert Judgment and Communication of Uncertainty

Abstract Knowledge built through the scientific study of climate is essential for informed decision-making. In the presence of irreducible uncertainty, the results of climate science must be gathered and synthesized through expert judgment. Experts communicate uncertainty to the public to support their understanding of the science and
Stephen B. Broomell, Emily Ho, Daniel M. Benjamin, David V. Budescu   +3 more
openaire   +1 more source

Clustomesogen Showing Sub‐Zero Liquid Crystal Properties: Supramolecular Assembly Between Cs2[Mo6Ii8(OCOC2F5)6] and Hexaethylenoxide Containing Mesogenic Dimers

Advanced Materials, EarlyView.
Associating a red‐NIR phosphorescent octahedral hexanuclear molybdenum cluster compound with hexaethyleneoxide chains bearing mesogenic units on both ends leads to an emissive hybrid liquid crystal showing mesomorphism on a very unusual temperature range down to −25°C.
Killiann Heinz, Jeanne Rebours, Zoulikha Zerrouqi, Noée Dumait, Maria Amela‐Cortes, Nikolai Scheuring, Sara Simonovska, Sebastian Marino, Max Ebert, Stéphane Cordier, Sabine Laschat, Yann Molard   +11 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source