Results 151 to 160 of about 274,936 (300)

Zn(C2H4NO2)2(SO2CH3NH2)2 and Zn(C2H4NO2)2[SO2(NH2)2]: Regulation of Unique ZnO(C2H4NO2)2 Units by Polar Tetrahedrons for Balanced UV Nonlinear Optical Performance

Advanced Science, EarlyView.
The modulation of polar tetrahedra enabled the synthesis of an outstanding short‐wave UV NLO crystal, Zn(C2H4NO2)2[SO2(NH2)2], which achieves a rare balance of a large bandgap (5.93 eV), high birefringence (Δn = 0.126 at 546 nm), and strong SHG response (1.36 × KDP), especially achieving excellent phase‐matching throughout the full transparency range ...
Chenjie Cui, Yuchen Yan, Xin Wen, Jindong Chen, Jiyang Wang, Zhanggui Hu, Ning Ye, Guang Peng   +7 more
wiley   +1 more source

Thermoelastic wave propagation in fibre-reinforced plates with exponential temperature-dependent conductivity under fluid-structure interaction. [PDF]

Sci Rep
Almoneef A, Alotaibi M, El-Sapa S, Lotfy K, El-Bary AA.   +4 more
europepmc   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Nonlinear boundary value problem of first order impulsive functional differential equations

, 2006
Lijing Chen, Jitao Sun
semanticscholar   +1 more source

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

Advanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren, Hong Wang, Chak Wang Tse, Yi Zheng, Xi Chen, Wenqi Hu   +5 more
wiley   +1 more source

The finite element neural network method to simulate two dimensional partial differential equations and perform parameter identification. [PDF]

Sci Rep
Abda M, Berthet L, Hamedi M, Hibatullah D, Piollet E, Blake C, Blais B, Gosselin FP.   +7 more
europepmc   +1 more source

On a nonlinear boundary value problem modeling corneal shape

, 2014
Ł. Płociniczak, W. Okrasinski, J. Nieto, J. Nieto, O. Domínguez   +4 more
semanticscholar   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Simultaneous Numerical Determination of Two Time-dependent Coefficients in Second Order Parabolic Equation With Nonlocal Initial and Boundary Conditions. [PDF]

F1000Res
A J Al-Shatrah M, Sabah Hussein M.
europepmc   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source