Results 71 to 80 of about 441 (217)

IMPLICITIZATION OF SURFACES VIA GEOMETRIC TROPICALIZATION

open access: yes, 2013
In this paper we further develop the theory of geometric tropicalization due to Hacking, Keel and Tevelev and we describe tropical methods for implicitization of surfaces.
Maria Angelica Cueto
core  

An in-depth stability analysis of nonuniform FDTD combined with novel local implicitization techniques [PDF]

open access: yes, 2017
This work focuses on efficient full-wave solutions of multiscale electromagnetic problems in the time domain. Three local implicitization techniques are proposed and carefully analyzed in order to relax the traditional time step limit of the Finite ...
Van Londersele, Arne   +5 more
core   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

open access: yesAdvanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani   +10 more
wiley   +1 more source

Implicitization, Graph Ideals and Control Systems

open access: yes, 1993
We discuss how the external behavior of a polynomial automatic control system can be determined, i.e. how to find the differential equation relating the input and the output of the system given a state space description, focussing on algorithmic aspects.
Krister Forsman, Forsman, Krister
core  

A Super‐Adhesive Air Filter With Capillarity‐Mediated Spontaneous Particle Absorption via Dynamic Bond Exchange

open access: yesAdvanced Materials, EarlyView.
We address the inherently weak particle adhesion of conventional air filters by coating a dynamically crosslinked adhesive layer that delivers capillarity‐driven strong adhesion and particle absorption mediated by dynamic bond exchange. The resulting enhancement in particle adhesion enables efficient ultrafast (up to 20 m s−1) and omnidirectional ...
Junyong Park   +11 more
wiley   +1 more source

Minkowski Decomposition and Geometric Predicates in Sparse Implicitization

open access: yes, 2015
Based on the computation of a polytope Q, called the predicted polytope, containing the Newton polytope P of the implicit equation, implicitization of a parametric hypersurface is reduced to computing the nullspace of a numeric matrix.
Emiris, Ioannis Z.   +2 more
core  

Linear differential implicitization and differential resultants

open access: yes, 2011
Given a system P of n linear ordinary differential polynomial parametric equations (linear DPPEs) in n -1 differential parameters, we proved in [2] that if nonzero a ...
Sonia L. Rueda
core   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

open access: yesAdvanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao   +8 more
wiley   +1 more source

Implicitization, Graph Ideals and Control Systems [Elektronisk resurs]

open access: yes, 1993
We discuss how the external behavior of a polynomial automatic control system can be determined, i.e. how to find the differential equation relating the input and the output of the system given a state space description, focussing on algorithmic aspects.
Forsman, Krister,
core  

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

open access: yesAdvanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano   +5 more
wiley   +1 more source

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