Results 71 to 80 of about 115,369,690 (213)
Responsive Materials, EarlyView.Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Structural Concrete, EarlyView.Abstract Several test methods have been proposed in the literature for measuring the level of residual prestress, most of them involving either semi‐ or fully destructive techniques for local measurements which could be highly sensitive to boundary conditions and execution details.
Giuseppe Zarrella +2 more
wiley +1 more source
Quantifying and Tracking Flexibility of System Elements to Support (Re)Design Decision‐Making
Systems Engineering, EarlyView.ABSTRACT Evolving objectives and requirements, risk management processes, and external disruptions frequently drive change in engineered systems. Due to these pressures, system architects must anticipate and manage change throughout a system's lifecycle. Yet, managing change is challenging due to the risk of change propagation.
Lindsey Jacobson, Scott Ferguson
wiley +1 more source
Polynomial‐shaped electrodes for adaptive X‐ray optics
Journal of Synchrotron Radiation, EarlyView.A shaped electrode design for lithium niobate adaptive X‐ray mirrors connects actuator degrees of freedom to specific polynomial orders, enabling general shape control and the correction of defocus, coma and fourth‐order aberrations with a limited number of inputs.For adaptive mirrors on X‐ray beamlines and optical systems, we describe a strategy for ...
Kenneth A. Goldberg +2 more
wiley +1 more source
Real Estate Economics, EarlyView.Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley +1 more source
Introduction to Derived Algebraic Geometry
openDerived Algebraic Geometry arises from the interplay between classical algebraic geometry, homotopy theory, and higher category theory. Building on the work of Grothendieck, Verdier, and Illusie, the theory developed through Quillen’s homotopical ...
DE PIERI, JACOPO
core
Journal for Eighteenth-Century Studies, EarlyView.Abstract This article analyses to what degree Benjamin Robins's discoveries in his book New Principles of Gunnery, 1742, affected the British mathematical, military, and educational world of the mid‐eighteenth century. While it drew praise and critique from Europe, especially from the notable mathematician Leonhard Euler, his mathematical theories were
Samuel Dodson
wiley +1 more source
Neural Local Inter‐reflection Modeling for Garment Fold Rendering
Computer Graphics Forum, EarlyView.Abstract Realistic garment rendering requires simulating complex multi‐bounce light paths within intricate fold geometries. In these regions, conventional path tracing is computationally expensive as light becomes trapped, necessitating high bounce counts for convergence.
Jooeun Son +4 more
wiley +1 more source
Survey on differential estimators for 3d point clouds
Computer Graphics Forum, EarlyView.Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source
Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy
Computer Graphics Forum, EarlyView.Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
wiley +1 more source