Results 91 to 100 of about 21,778 (301)

Submicron Metasurface Reconfigured Multiband Smart Windows

Advanced Functional Materials, EarlyView.
This work presents a submicron metasurface reconfigured multiband thermochromic smart window. By integrating subwavelength nanostructures into a Fabry−Perot resonator configuration, it mitigates conventional trade‐offs to simultaneously deliver high luminous transmittance and robust solar heating and radiative cooling modulation capabilities ...
Guanya Wang, Shancheng Wang, Bin Li, Xinyi Tian, Rong Liu, Jian Chen, Zhendong Dai, Shouqin Tian, Yi Long   +8 more
wiley   +1 more source

Secrecy Transmission for Self-Energy Recycling Untrusted Relay Networks With Imperfect Channel State Information

IEEE Access, 2019
For the self-energy recycling (SER) untrusted relay network, a two-phase destination-based jamming (DBJ) protocol is proposed, in which the destination transmits the jamming signal to reduce the received SNR of the untrusted relay node in the first phase
Siyang Xu, Xin Song, Zhigang Xie, Jing Cao, Jingpu Wang   +4 more
doaj   +1 more source

Co‐Electrospinning Extracellular Matrix with Polycaprolactone Enables a Modular Approach to Balance Bioactivity and Mechanics of a Multifunctional Bone Wrap

Advanced Healthcare Materials, EarlyView.
The incorporation of nondigested ECM and synthetic polymers into a co‐electrospinning system enables the decoupling of bioactivity and mechanical properties within a single wrap. This technique is used to develop a multifunctional bone wrap that achieves augmented membrane durability, sustained infection control, and enhanced vascularity for use in ...
Sarah Jones, Madeline Laude, Zeenat Oyebanji, Ruchi Birur, Andres Luengo Martinez, Isabelle Gilbert, Phillip Baek, Nichole Longbottom, Nicole McCullough, Staci J. Horn, Chien‐Yu Lin, Matthew J. Lohr, Fred Clubb, Manuel K. Rausch, Elizabeth Cosgriff‐Hernandez   +14 more
wiley   +1 more source

Reliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning

Machine Learning: Science and Technology
Physics-informed neural networks (PINNs) have attracted significant attention in scientific machine learning for their capability to solve forward and inverse problems governed by partial differential equations. However, the accuracy of PINN solutions is
Shota Deguchi, Mitsuteru Asai
doaj   +1 more source

A unifying theory of exactness of linear penalty functions II: parametric penalty functions [PDF]

Optimization, 2017
In this article we develop a general theory of exact parametric penalty functions for constrained optimization problems. The main advantage of the method of parametric penalty functions is the fact that a parametric penalty function can be both smooth and exact unlike the standard (i.e. non-parametric) exact penalty functions that are always nonsmooth.
openaire   +2 more sources

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

Solving Optimization Problems over the Stiefel Manifold by Smooth Exact Penalty Function [PDF]

, 2022
In this paper, we present a novel penalty model called ExPen for optimization over the Stiefel manifold. Different from existing penalty functions for orthogonality constraints, ExPen adopts a smooth penalty function without using any first-order ...
Xiao, Nachuan, Liu, Xin
core   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Single‐Chromophore Homojunction Organic Solar Cells: A Path to Simplicity and Efficiency

Advanced Materials, EarlyView.
This perspective discusses how the intrinsic optoelectronic properties of organic semiconductors, their molecular packing in the solid‐state, and internal energetic gradients within a device can enable free‐charge carrier generation in homojunction organic solar cells.
Shaun McAnally, Paul L. Burn, Paul E. Shaw   +2 more
wiley   +1 more source

An exact penalty function algorithm for time-lag control problems with control and terminal equality constraints [PDF]

, 1990
A computational algorithm for a class of time-lag optimal control problems involving control and terminal equality constraints is presented. This algorithm is based on the exact penalty function method and the concept of control parametrization.
Wong, K.H., Teo, K.L.
core   +1 more source