Results 101 to 110 of about 45,706 (265)

Wood‐Based Bioelectronics: Lignosulfonate‐Based Conductive Biocomposites for Paper Organic Electrochemical Transistors

open access: yesAdvanced Electronic Materials, EarlyView.
Biodegradable wood‐based bioelectronics are realized by integrating poly (2,3‐ethylenedioxythiopene:lignosulfonate (PEDOT:LigS) as a mixed ionicelectronic channel in organic electrochemical transistors fabricated on paper substrates. The biocomposite exhibits high conductivity, biocompatibility, and strong transistor performance, while devices built on
Katharina Matura   +8 more
wiley   +1 more source

Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics

open access: yesAdvanced Electronic Materials, EarlyView.
Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim   +7 more
wiley   +1 more source

Hypotension and antiphlogistic potential of empagliflozin ocular film: swelling and release kinetics

open access: yesADMET and DMPK
Background and Purpose: Empagliflozin (EMP) is a sodium-glucose cotransporter 2 (SGLT2) inhibitor used for the management of type 2 diabetes mellitus.
Tanisha Das   +5 more
doaj   +1 more source

Influence of Top Electrode Metal on Resistive Switching in Multilayer MOCVD MoS2 Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
MoS2 memristors typically use evaporated noble metal electrodes. This study compares Pd, Ni, and Al electrodes and sputtered versus evaporated deposition. Pd is passive, while Ni damages MoS2, yielding poor switching. Sputtered Al enables reproducible ECM‐type switching with 95% yield, whereas evaporated Al forms an interfacial oxide that suppresses ...
Dennis Braun   +15 more
wiley   +1 more source

Cavity Microelectrode Arrays for Electrical Recordings From Neurons

open access: yesAdvanced Electronic Materials, EarlyView.
Microelectrode arrays (MEAs) are used to study electrophysiological activity. However, their signals are small with high noise. By adding a 100‐nanometer‐high cavity above the electrode, which reduces impedance without affecting resolution, we improve signal quality.
Johannes Lewen   +2 more
wiley   +1 more source

Bridging Performance and Fate: A Framework for Sustainable, Composite‐Based Flexible Electronic Systems

open access: yesAdvanced Electronic Materials, EarlyView.
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley   +1 more source

Іnfluence of initial defects on the distribution of mechanical stresses and deformations during silicon oxidation

open access: yesТехнологія та конструювання в електронній апаратурі, 2008
Using modern methods, the complex structure of near-surface silicon layers in the “silicon — silicon dioxide” systems has been investigated. The dependencies of the parameters of these layers on oxidation conditions and the characteristics of the initial
O. A. Kulinich   +4 more
doaj  

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

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