Contact force identification in pantograph-catenary system via elastic support beam theory and enhanced l1 sparse regularization scheme. [PDF]
Wei H +6 more
europepmc +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Analysis of inverse problem for pseudo-hyperbolic equation under periodic boundary condition. [PDF]
Bağlan İ +4 more
europepmc +1 more source
Conjectures in inverse boundary value problems for quasilinear elliptic equations
Access to full text in SOAR is currently suppressed. Publisher's copy of this article is accessible at: http://www.dmat.ufpe.br/CUBO/files/7_3_2005.pdf#page=64Inverse boundary value problems originated in early 80’s, from the contribution of A.P ...
Sun, Ziqi
core
Traction Force Microscopy for Viscoelastic Substrates: A Semi‐Analytical Method
A semi‐analytical viscoelastic traction force microscopy framework is introduced for quantifying time‐resolved cell tractions on flat finite‐thickness substrates. The method generalizes elastic traction force microscopy to Generalized Maxwell materials, identifies when elastic approximations remain valid and, when they do not, shows that inferred ...
Adrià Villacrosa‐Ribas +10 more
wiley +1 more source
Matrix-Free Inexact Preconditioning Techniques for Isogeometric Tensor-Product Discretizations. [PDF]
Mika MŁ, Hiemstra RR, Schillinger D.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
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
Data-Driven Inverse Design of Silver Nanoparticle Size for Controlled Synthesis Across Multiple Systems Using Conditional Generative Models. [PDF]
Zi X +8 more
europepmc +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
Uncertainty Quantification in Inverse Scattering Problems. [PDF]
Abugattas C, Carpio A, Cebrián E.
europepmc +1 more source

