Results 191 to 200 of about 24,483 (292)

Architected Inverse Nacre Hydrogels With High Strength and Crack‐Insensitive Toughness

Advanced Science, EarlyView.
Hydrogels hold promise for biomedical and engineering applications, yet their practical use is fundamentally limited by the strength‐toughness trade‐off and poor fatigue resistance. In this study, a bioinspired inverse nacre architecture constructed via a scalable thermo‐calendering process is introduced, which overcomes these classic limitations ...
Haidi Wu, Qin Su, Cheng Guan, Biwang Pan, Wenjie Hu, Jun Yan, Yifan Feng, Longcheng Tang, Xuewu Huang, Jiefeng Gao, Wancheng Gu   +10 more
wiley   +1 more source

Automated and quantitative segmentation of colorectal polyps via an information-guided deep learning network with boundary perception. [PDF]

Quant Imaging Med Surg
Zhang P, Chen J, Yang H, Cheng X, Du H.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Multiscale Analysis of Reinforced Concrete Frames with Embedded Metamaterials Under Progressive Collapse. [PDF]

Materials (Basel)
Long X, Samuneti C, Iyela PM, Kawkabi KW, Ngangura PM, Fan K.   +5 more
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Multiscale Cosine Convolution Neural Network for Robust and Interpretable Epileptic EEG Detection. [PDF]

Biosensors (Basel)
Chen J, Zhou W, Liu G.
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

One-dimensional computational circulatory models: a scoping review. [PDF]

Einstein (Sao Paulo)
Nóbrega GACL, Garzon S, Blanco PJ, Lemos Neto PA.   +3 more
europepmc   +1 more source

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source

Enhancing anticancer peptide discovery: A fusion-centric framework with conditional diffusion for prediction and generation. [PDF]

PLoS Comput Biol
Li B, Zhang X, Huang Z, Tiwari P, Zou Q, Ding Y, Guo X.   +6 more
europepmc   +1 more source