Results 121 to 130 of about 167,032 (284)

Applications of catastrophe theory in mechanics [PDF]

open access: yes
A method, using Thom's classification of catastrophes, is described for the analysis of stability of systems whose static behavior is derived from a potential function.
Buoncristiani, M., Webb, G. R.
core   +1 more source

ROS‐Responsive Wedelolactone Hydrogel Promotes Intervertebral Disc Repair by Disrupting the NF‐κB–LCN2 Inflammatory Feedback Loop

open access: yesAdvanced Science, EarlyView.
A mechanically robust, ROS‐responsive hydrogel is engineered to treat intervertebral disc degeneration by targeting the NF‐κB–LCN2 inflammatory feedback loop. By delivering wedelolactone specifically within oxidative niches, this system disrupts macrophage–disc cell crosstalk.
Zimei Wu   +10 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

A general theory of consciousness III: The human catastrophe

open access: yesCommunicative & Integrative Biology
It is generally assumed that verbal communication can articulate concepts like ‘fact’ and ‘truth’ accurately. However, language is fundamentally inaccurate and ambiguous and it is not possible to express exact propositions accurately in an ambiguous ...
Abraham Peper
doaj   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

Outstanding 1200 °C Oxidation Resistance in a Novel Multi‐Principal Element Alloy via Lattice Distortion‐Induced Diffusion Suppression

open access: yesAdvanced Science, EarlyView.
The unique lamellar structure of the eutectic alloy promotes selective oxidation of Al initially, while lattice distortion‐induced diffusion suppression slows oxide growth during steady state. Combining these strategies, a Multi‐Principal Element Alloy with excellent oxidation resistance at 1200℃ was designed.
Xinyu Zhang   +6 more
wiley   +1 more source

Data‐Driven Design and Fabrication of Heat‐Resistant, Ultrastrong, Lightweight Aluminum‐Based Entropy Alloy by Additive Manufacturing

open access: yesAdvanced Science, EarlyView.
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang   +6 more
wiley   +1 more source

Stability Analysis and Support Optimization of Tunnel Surrounding Rock with Weak Interlayer Based on Catastrophe Theory

open access: yesBuildings
A tunnel excavation model with weak interlayers is established to analyze the effect of different angles and thicknesses on the displacement of the surrounding rock.
Tuo Zhang   +3 more
doaj   +1 more source

How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?

open access: yesAdvanced Science, EarlyView.
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen   +5 more
wiley   +1 more source

Tuning Desolvation Kinetics with Perovskite‐Type Ion‐Conductive Modulators toward Low‐Temperature Zn Metal Batteries

open access: yesAdvanced Science, EarlyView.
A strategy of constructing perovskite‐type ion‐conductive interphase modulation layer is proposed to break down ion‐dipole interactions of [Zn(H2O)x]2+ to promote Zn2+ desolvation and diffusion kinetics against dendrite growth and active water‐induced hydrogen evolution reactions.
Wenbin Wang   +14 more
wiley   +1 more source

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