Results 131 to 140 of about 22,085 (238)

M-GNN: A Topology-Enhanced Multi-Modal Graph Neural Network for Cancer Driver Gene Prediction. [PDF]

Metabolites
Qin L, Zhu W, Liao X, Zhang Y.
europepmc   +1 more source

Resolving and Controlling Silicoaluminophosphate Zeolite Intergrowths and Mixtures

Advanced Science, EarlyView.
Low‐dose electron microscopy enables atomic‐resolution imaging of beam‐sensitive SAPO‐34/18 intergrowths, revealing their stacking sequences and spatial distributions under controlled Si content and SDA ratio. This work establishes a methodology linking controllable synthesis with atomic‐resolution microscopy to investigate structure–property ...
Yuxin Ke, Jiale Feng, Lei Wang, Xiao Chen, Mengmeng Ma, Jiabin Cui, Juan Diwu, Yuman Liu, Fei Wei, Boyuan Shen, Bin Song   +10 more
wiley   +1 more source

Deep learning-enabled versatile shape perception for soft robots via single-ended multimode fiber. [PDF]

Sci Adv
He Z, Wang L, Geng H, Lu Z, He T, Zhong H, Zhang H, Zhu R, Zhao Q, Meng Y, Li D, Yan P, Liu Q, Xiao Q.   +13 more
europepmc   +1 more source

Soft Simply* Generalized Continuous Mappings in Soft Topological Spaces [PDF]

Journal of Engineering and Applied Sciences, 2019
openaire   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

Temporal transcriptomic analysis of scale drop disease virus in Asian seabass kidney cells reveals host immune and signaling changes. [PDF]

Front Immunol
Xin HY, Carmen LCP, Ying LX, Prabakaran M.   +3 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

A Hybrid AI-Mathematical approach for epidemic threshold prediction in metapopulation networks: Integrating physics-guided neural networks with spectral graph theory. [PDF]

PLoS One
Kouokam E.
europepmc   +1 more source

Coupled Electronic and Ionic Conductivity in Strain‐Stiffening Hydrogels

Advanced Science, EarlyView.
A soft PVA–PABA hydrogel is developed that couples tissue‐like strain‐stiffening mechanics with dual ionic–electronic conduction. Dynamic boronic crosslinks enable self‐assembled percolative pathways, producing deformation‐responsive resistance with a stabilization plateau at stiffening onset, revealing alignment‐assisted charge transport and advancing
Md Al Raihan, Mark M. A. Mikhail, Khaled M. Hijazi, Hessameddin Yaghoobi, John P. Frampton, Vahid Adibnia, Michael S. Freund   +6 more
wiley   +1 more source

A Real-Time Mechanical Information Acquisition System and Finite Element Prediction Method for Limb Lengthening: A Pilot In Vivo Study. [PDF]

Sensors (Basel)
Yang H, Peng T, Han Y, Lu M, Chen Y, Yang Z.   +5 more
europepmc   +1 more source