Results 101 to 110 of about 946 (225)

Predictive processing's flirt with transcendental idealism

open access: yesNoûs, Volume 60, Issue 1, Page 87-109, March 2026.
Abstract The popular predictive processing (PP) framework posits prediction error minimization (PEM) as the sole mechanism in the brain that can account for all mental phenomena, including consciousness. I first highlight three ambitions associated with major presentations of PP: (1) Completeness (PP aims for a comprehensive account of mental phenomena)
Tobias Schlicht
wiley   +1 more source

Study on time-dependent injectability evaluation of mudstone considering the self-healing effect

open access: yesOpen Geosciences
The injectability of mudstone is a key parameter for grout modification and is affected by hydration. Inherent injectability is predominantly determined by pore size distribution nuances, encompassing both the critical pore size and the heterogeneity ...
Pan Dongjiang   +4 more
doaj   +1 more source

Interfacial Chemistry Behind Damage Monitoring in Glass Fiber‐Reinforced Composites: Attempts and Perspectives

open access: yesPolymer Composites, Volume 47, Issue 4, Page 2925-2954, 20 February 2026.
Role of the modifications at the interface in glass fiber reinforced composites for damage monitoring. ABSTRACT Glass Fiber Reinforced Polymers (GFRPs) are widely used in structural applications but degrade over time due to internal damage. Structural Health Monitoring (SHM) enables early damage detection, improving reliability and reducing maintenance
Marta Colombo   +10 more
wiley   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, Volume 36, Issue 13, 12 February 2026.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

Full Crystallographic Imaging of Hexagonal Boron Nitride Monolayers with Phonon‐Enhanced Sum‐Frequency Microscopy

open access: yesAdvanced Materials, Volume 38, Issue 7, 2 February 2026.
A nonlinear optical microscopy technique is introduced that enables rapid imaging of hexagonal boron nitride monolayers, which are usually optically invisible. The nonlinear mixing of mid‐infrared and visible laser pulses enables full crystallographic imaging through phase‐resolved sum‐frequency generation microscopy, where the resonant excitation of a
Niclas S. Mueller   +15 more
wiley   +1 more source

Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics

open access: yesAdvanced Materials, Volume 38, Issue 9, 12 February 2026.
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang   +13 more
wiley   +1 more source

Sieving Hydrogen Isotopes via Machine Learning Assisted Chemical Vapor Deposition (CVD) of High‐Quality Monolayer Hexagonal Boron Nitride (h‐BN) on Iron Foils

open access: yesAdvanced Materials, Volume 38, Issue 7, 2 February 2026.
Sub‐atomic scale separation of hydrogen isotopes (H+/D+) require near pristine h‐BN membranes, and scalable synthesis of such high‐quality h‐BN comparable to mechanically exfoliated crystals remains a significant challenge. This study reports a scalable Fe‐catalyzed Machine‐Learning Enabled Chemical vapor deposition process for bottom‐up large‐area ...
Pavan Chaturvedi   +8 more
wiley   +1 more source

Advancement simulation of tunnel boring machines [PDF]

open access: yesProceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), 2012
Tobias Rahm   +4 more
openaire   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 1, February 2026.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Next‐Generation LiS Batteries: Impact of Nanowire‐Based Electrocatalysts

open access: yesBatteries &Supercaps, Volume 9, Issue 2, February 2026.
The graphical abstract features the central themes of this review. It highlights the key challenges limiting the practical applications of lithium–sulfur batteries (LSBs) and discusses how nanowire (NW)‐based electrocatalysts help to address these issues.
Tushar Prashant Pandit   +4 more
wiley   +1 more source

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