Results 171 to 180 of about 574,424 (277)

Fractional order modeling of hepatitis C transmission dynamics with physics-informed neural network solutions. [PDF]

BMC Infect Dis
Muthupandi V, Gnanaprakasam AJ, Boulaaras S.   +2 more
europepmc   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Programmable Solid‐Electrolyte Interfaces for Efficient and Selective Electrochemical Hydrogenations

Angewandte Chemie, EarlyView.
Poly(ionic liquid) binders are shown to actively control the electrode microenvironment, strongly enhancing electrochemical hydrogenation compared to traditional binders. The work redefines the binder as an active component of catalytic electrode design, reshaping local potential gradients and interfacial ion distribution to modulate adsorbed H ...
Anastasios Orestis Grammenos, Jessica Brandt, Yu Zhang, Zeen Wu, Mateusz M. Marzec, Sotirios Sotiropoulos, Piotr Jeleń, Jiayin Yuan, Markus Antonietti, Mateusz Odziomek   +9 more
wiley   +2 more sources

Rectification of Material Model for Fibrous Materials in Compressive Mode. [PDF]

Materials (Basel)
Petronienė JJ, Stonkus R, Dzedzickis A, Bučinskas V.   +3 more
europepmc   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

Multi‐Band Excitation of NIR‐II Lanthanide Nanoparticles via Multiple‐Dye Cascade Sensitization

Angewandte Chemie, EarlyView.
A cascade multiple‐dye sensitization strategy that enables lanthanide‐doped DSNPs to be efficiently excited across the entire UV–Vis–NIR window (270–1030 nm) while retaining strong and tunable NIR‐II emission. ABSTRACT Lanthanide‐doped downshifting nanoparticles (DSNPs) emitting in the near‐infrared‐II (NIR‐II) window offer distinct advantages for deep‐
Yuxia Luo, Yunge Du, Yin Huang, Lijun Jiang, Chengyi Chu, Guochen Bao   +5 more
wiley   +2 more sources

Indices of embodied Neuroergonomic coupling: a theory and hypothesis framework for quantifying brain-body-environment dynamics in built space. [PDF]

Front Hum Neurosci
Scanlin J.
europepmc   +1 more source

Features of the 9th version of the mathematical model of the Universal Method modeling

TRENDS IN THE DEVELOPMENT OF SCIENCE AND EDUCATION, 2020
A.A. Drozdov, O.A. Solovieva, L.N. Marenina   +2 more
openaire   +1 more source

Analysis of Uncertainty Influence in the Design of Interval Type‐3 Fuzzy Controllers With Type‐3 Fuzzy Harmony Search: The Case of the Water Tank

AI &Innovation, EarlyView.
ABSTRACT Nonlinear control systems are an integral part of complex engineering systems. The main difference from linear systems is their ability to adapt to changes and unpredictable conditions. These systems exhibit behaviors that cannot be predicted by simple linear equations, making them essential for applications requiring precise control over a ...
Cinthia Peraza, Patricia Ochoa, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source

Dual‐Sabatier Optima: How Reaction Mechanism Determines Activity Volcano Map of Dual‐Atom Catalysts for Oxygen Reduction Reaction

Angewandte Chemie, EarlyView.
Dual‐atom catalysts (DACs) for oxygen reduction reaction (ORR), where the dissociative mechanism dominates, show a dual‐Sabatier optima volcano map, diverging from the classical single‐peak volcano of the associative mechanism. Potential‐dependent microkinetic modeling and interpretable machine learning rationalize experimental data and provide design ...
Jin Liu, Hao Li, Haoxiang Xu, Daojian Cheng   +3 more
wiley   +2 more sources