Results 121 to 130 of about 72,594 (306)
Advanced Materials, EarlyView.Oppositely charged single enzyme nanogels (SENs) phase‐separate into bi‐enzymatic coacervate microdroplets, acting as both scaffold and functional units. By tuning SEN ratios, these coacervates create specific microenvironments that enable selective small‐molecule enrichment and efficient intermediate diffusion.
Andoni Rodriguez‐Abetxuko +11 more
wiley +1 more source
A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials
Advanced Materials Interfaces, EarlyView.Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav +2 more
wiley +1 more source
MathematicsThis paper develops a rigorous operator-theoretic framework for learning-augmented quasi-gradient methods in constrained optimization. We consider the minimization of an objective function over a closed convex feasible set, where feasibility is enforced ...
Gilberto Pérez-Lechuga +2 more
doaj +1 more source
Thermal Radiation Emission From 3D Graphene Networks
Advanced Materials Interfaces, EarlyView.Three‐dimensional graphene networks are demonstrated as exceptional broadband thermal emitters, exhibiting high‐intensity, spectrally homogeneous emission and strong mechanical flexibility compared to conventional emitters like silicon carbide.
Maria Chiara Paolozzi +7 more
wiley +1 more source
Multivariate extensions of expectiles risk measures
Dependence Modeling, 2017 This paper is devoted to the introduction and study of a new family of multivariate elicitable risk measures. We call the obtained vector-valued measures multivariate expectiles. We present the different approaches used to construct our measures.
Maume-Deschamps Véronique +2 more
doaj +1 more source
A stochastic partial differential equation, or SPDE, describes the dynamics of a stochastic process defined on a space-time continuum. This paper provides a new method for solving SPDEs based on the method of lines (MOL).
McDonald, Stuart
core
Advanced Materials Technologies, EarlyView.ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
Journal of Statistical SoftwareThis paper introduces the object-oriented Python package pymle, which provides core functionality for maximum likelihood estimation and simulation of univariate stochastic differential equations.
Justin L. Kirkby +3 more
doaj +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation
Computational and Structural Biotechnology JournalCellular processes are intricately controlled through gene regulation, which is significantly influenced by intrinsic noise due to the small number of molecules involved. The Gillespie algorithm, a widely used stochastic simulation method, is pervasively
Seok Joo Chae +4 more
doaj +1 more source