Results 111 to 120 of about 342,776 (277)
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Belief-Based Model of Career Dropout Under Monopsonistic Employment and Noisy Evaluation
MathematicsThis paper develops a belief-based dynamic optimisation framework to explain career continuation decisions in settings characterised by monopsonistic employment and asymmetric performance evaluation.
Iñaki Aliende +2 more
doaj +1 more source
From Waste to Value: Conversion of Calcium Sulfate to Vaterite via Carbon Capture and Storage
Advanced Functional Materials, EarlyView.This study introduces a new concept for carbon management that relies on the carbonation of industrial gypsum waste and yields phase‐pure vaterite at ambient conditions without any additives. The obtained vaterite is further shown to be a reactive material that develops compressive strength in aqueous suspensions like conventional cements.
Carlos Pimentel +4 more
wiley +1 more source
Structure–Transport–Ion Retention Coupling for Enhanced Nonvolatile Artificial Synapses
Advanced Functional Materials, EarlyView.Nitrogen incorporation into the conjugated backbone of donor–acceptor polymers enables efficient charge transfer and deep ion embedding in organic electrochemical synaptic transistors (OESTs). This molecular‐level design enhances non‐volatile synaptic properties, providing a new strategy for developing high‐performance and reliable neuromorphic devices.
Donghwa Lee +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Tumor‐tropic human mesenchymal stem cells (hMSCs) were used as delivery vehicles for magnetotheranostic gold–iron oxide nanoflowers. Magnetic particle imaging of the iron component demonstrated widespread intratumoral distribution and sustained retention in contrast to injection of naked nanoflowers.
Behnaz Ghaemi +7 more
wiley +1 more source
SI‐bioATRP in Mesoporous Silica for Size‐Exclusion Driven Local Polymer Placement
Advanced Functional Materials, EarlyView.An enzyme‐catalyzed surface‐initiated atom transfer radical polymerization (SI‐bioATRP) of an anionic monomer within mesoporous silica particles, using hemoglobin as a catalyst, allows for controlling the location of the formed polymer via size‐exclusion effects between the nanopores and the biomacromolecules, thereby opening routes to functional ...
Oleksandr Wondra +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This work reports the first gram‐scale solvothermal synthesis of ‘Rubik's cube’ nanoparticles—cubic, dendritic multicore structures with tuneable sizes and exceptional magnetic heating performance. Featuring iron oxide single‐domain character, with low coercivity fields, high magnetization, and strong MPI signals, they enable viscosity‐independent ...
Giusy M. R. Rizzo +12 more
wiley +1 more source
Self‐Refreshing Bi‐Based Active Sites for Efficient and Durable Electrochemical CO2 Reduction
Advanced Functional Materials, EarlyView.A self‐refreshing Bi‐based catalyst is developed through the fabrication of a novel basic bismuth nitrate pre‐catalyst, which exhibits differential active sites of Bi2O2CO3 at low potentials and metallic Bi phases at high potentials, self‐repairing capability, and thus wide‐potential‐window efficiency and ultralong durability toward electrochemical CO2
Yuxuan Xiao +7 more
wiley +1 more source
A linear threshold model for optimal stopping behavior. [PDF]
Proc Natl Acad Sci U S A, 2020 Baumann C +3 more
europepmc +1 more source
Optimal stopping with expectation constraints
The Annals of Applied ProbabilityWe analyze an optimal stopping problem with a series of inequality-type and equality-type expectation constraints in a general non-Markovian framework. We show that the optimal stopping problem with expectation constraints (OSEC) in an arbitrary probability setting is equivalent to the constrained problem in weak formulation (optimization over joint ...
Bayraktar, Erhan, Yao, Song
openaire +2 more sources