Corrigendum: ‘‘Computing an arithmetic constant related to the ring of Gaussian integers” [Math. Comp. {\bf 44} (1985), no. 169, 241–250; MR0771043 (87a:11028)] by Gramain and M. Weber [PDF]
openaire +1 more source
Maximum‐Entropy‐Based Meshless Modeling of Surface‐Tension‐Driven Large Deformation
ABSTRACT Soft material modeling is challenging due, among others, to the substantial structural changes these materials undergo. In this context, meshless methods offer a promising alternative to overcome the limitations of established mesh‐based approximations such as finite elements. However, they introduce new challenges.
Rodrigo Castillo‐Acuna +2 more
wiley +1 more source
Transfer learning for reaction optimisation: overview of its applications and limits. [PDF]
Senthil Vel A +3 more
europepmc +1 more source
Hybrid Coupling With Operator Inference and the Overlapping Schwarz Alternating Method
ABSTRACT This paper presents a hybrid approach for coupling subdomain‐local, nonintrusive Operator Inference (OpInf) reduced order models (ROMs) with each other and with subdomain‐local, high‐fidelity full order models (FOMs) using the overlapping Schwarz alternating method (O‐SAM).
Irina Tezaur +5 more
wiley +1 more source
Digital coding metamaterials with multi-modulation schemes and beam steering for intra-chip millimeter-wave connectivity. [PDF]
Shen Z, Taravati S, Yan J.
europepmc +1 more source
Dynamic Generation of Spatially Variable Vector Beams Using Cascaded Moiré Metasurfaces
A three‐layer cascaded moiré metasurface dynamically generates vector beams with tunable polarization order and controllable lateral focal positions. Relative rotation of the first two layers adjusts the conjugate OAM components that form the vector beam, whereas the third layer steers its focus across the transverse plane, preserving the dominant OAM ...
Siyu Guo +10 more
wiley +1 more source
New bounds of the smoothing parameter for lattices. [PDF]
Guo H, Liu F, Wang L, Tian K.
europepmc +1 more source
Microring Resonator Dispersion Metrology With Neural Networks
We present a machine learning framework for inverse and forward characterization of microring resonators, inferring geometry and material dispersion from sparse spectral data. The approach achieves nanometer‐scale accuracy and > 99% material identification, while reconstructing full dispersion spectra.
Ergun Simsek +3 more
wiley +1 more source
ImagiChem: Hybrid Deterministic Image-Conditioned Generation of Chemically Valid and Drug-like Molecules from Artistic Inputs. [PDF]
Buccheri R, Rescifina A.
europepmc +1 more source
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zeyi Zhang +4 more
wiley +1 more source

