Results 161 to 170 of about 655,340 (280)
Computational and Statistical Physics Approaches for Complex Systems and Social Phenomena. [PDF]
Diep HT, Kaufman M, Kaufman S.
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
Knowledge integration for physics-informed symbolic regression using pre-trained large language models. [PDF]
Taskin B, Xie W, Lazebnik T.
europepmc +1 more source
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong +9 more
wiley +1 more source
Propagation of optical solitons and dispersive solitary wave structure in complex media to the nonlinear integrable system via computational technique. [PDF]
Iqbal M +6 more
europepmc +1 more source
Realization of a Bilayer Elastic Topological Insulator
Bilayer elastic wave topological insulators are experimentally realized, introducing the layer degree of freedom to access four topological phases. This enables diverse domain walls and transmission behaviors, including interlayer conversion and beam splitting.
Chengzhi Ma +4 more
wiley +1 more source
Advances in Quantum Computation in NISQ Era. [PDF]
Xie XD, Zhang X, Koczor B, Yuan X.
europepmc +1 more source
The design employs heterogeneous wettability surfaces that construct stable oil‐water interfaces to achieve robust and rapid reversible adhesion. Linear enhancement of adhesion strength is realized through multi‐interface patterning. This adhesive enables rapid on‐demand detachment within five seconds via voltage‐induced electrolysis, offering a level ...
Xiaokai Li +11 more
wiley +1 more source
Implementing physics-informed neural networks with deep learning for differential equations. [PDF]
Emmert-Streib F +3 more
europepmc +1 more source

