Results 51 to 60 of about 455 (194)

Shaping Carbon Nitrides for Advanced Macrostructures

open access: yesAdvanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

open access: yesAdvanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Fully 3D‐Printed Wave‐Wound Electromagnetic Motors

open access: yesAdvanced Materials Technologies, EarlyView.
This work presents the first fully 3D‐printed wave‐wound electromagnetic motors, which are created using conductive nanoparticle inks, carbon‐filled nylon polymers, and surface mount components. These motors can achieve a stall torque of 7.62N·mmA−1$7.62 \nobreakspace N{\cdot }mm A^{-1}$ and efficiency of 28.2 %, which approaches the performance of ...
Joseph Schwalbe   +4 more
wiley   +1 more source

A Novel QKD Approach to Enhance IIOT Privacy and Computational Knacks. [PDF]

open access: yesSensors (Basel), 2022
Singamaneni KK   +5 more
europepmc   +1 more source

Flexible Pressure Sensor With Co‐Optimized Sensitivity and Linearity Based on Gradient Toroidal Microstructures

open access: yesAdvanced Materials Technologies, EarlyView.
A flexible piezoresistive pressure sensor with gradient toroidal CNT/PDMS microstructures is reported. The hierarchical geometry enables sequential electrode contact, achieving a sensitivity of 256.20 kPa−1 and linear response (R2 = 0.99) over 0–1000 kPa.
Rongmei Wang   +8 more
wiley   +1 more source

Skeleton Key Framework (SKF) Disclosure of Method V2.1: Morphological-Linguistic Model for Voynich Manuscript Decipherement

open access: yes
Abstract  The Voynich Manuscript (VMS) has resisted decipherment for over a century. The Skeleton Key Framework (SKF) proposes a reproducible structural method that treats VMS glyph clusters as morphemic shorthand rather than single-letter substitution.
openaire   +2 more sources

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

open access: yesAdvanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon   +3 more
wiley   +1 more source

Bayesian-based decipherment of in-depth information in bacterial chemical sensing beyond pleasant/unpleasant responses. [PDF]

open access: yesSci Rep, 2022
Tanaka H   +10 more
europepmc   +1 more source

Harappan Phonetic Constraint Field: Complete Monograph & Method Pack A Non-Decipherment Framework for Understanding Indus Valley Administrative Abstraction and Post-Collapse Phonological Convergence

open access: yes
The Indus Valley script resists phonetic decipherment because it does not encode phonetic language. This monograph proposes that sustained administrative and trade interaction during the Harappan period (c. 2600-1900 BCE) created a Phonetic Constraint Field—a probabilistic phonotactic environment that shaped spoken languages without standardizing ...
openaire   +2 more sources

Data‐Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning

open access: yesAdvanced Optical Materials, EarlyView.
Dissipative relaxation transfer learning (DIRTL) enables data‐efficient training of electromagnetic surrogate solvers by pretraining data generated with artificial material loss before fine‐tuning on target lossless data. The framework suppresses resonant outlier effects during early training, allowing effective adaptation to high‐amplitude resonances ...
Sunghyun Nam   +2 more
wiley   +1 more source

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