Results 81 to 90 of about 7,335,515 (304)

A priority experience replay actor-critic algorithm using self-attention mechanism for strategy optimization of discrete problems [PDF]

PeerJ Computer Science
In the dynamic field of deep reinforcement learning, the self-attention mechanism has been increasingly recognized. Nevertheless, its application in discrete problem domains has been relatively limited, presenting complex optimization challenges.
Yuezhongyi Sun, Boyu Yang
doaj   +2 more sources

Aerodynamic Shape Optimization Using the Discrete Adjoint of the Navier-Stokes Equations: Applications Toward Complex 3D Configutations [PDF]

, 2009
Within the next few years, numerical shape optimization based on high fidelity methods is likely to play a strategic role in future aircraft design. In this context, suitable tools have to be developed for solving aerodynamic shape optimization problems,
Dwight, Richard P., Brezillon, J. (author), Dwight, R.P. (author), Brezillon, Joël   +3 more
core  

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Fast multi-swarm optimization for dynamic optimization problems [PDF]

, 2008
This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Yang, S, Li, Changhe, Shengxiang Yang, Yang, Shengxiang, Changhe Li, Li, C   +5 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Phase‐Pure and Size‐Tunable Tin Halide Perovskite Quantum Dots

Advanced Materials, EarlyView.
A trioctylphosphine oxide modulated protocol allows for the synthesis and study of the optical properties of a broad library of tin halide perovskite quantum dots across multiple A‐ and X‐site compositions with precise size tuning while eliminating unwanted 2D phases.
Ole F. Dressler, Benjamin Aymoz, Sebastian Sabisch, Stefanie Frick, Sebastian Siol, Dmitry N. Dirin, Simon C. Boehme, Maksym V. Kovalenko   +7 more
wiley   +1 more source

Three-Dimensional Path Planning of Robots in Virtual Situations Based on an Improved Fruit Fly Optimization Algorithm

Advances in Mechanical Engineering, 2014
The fruit fly optimization algorithm (FOA) is one of the latest nature-inspired computational models. It has the advantages of having a simple mechanism, fewer control variables, and a fast convergence.
Munan Li
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Ionic Gating of Liquid‐Crystal‐Like Pteridine Assemblies Enables Tunable Light Scattering

Advanced Materials, EarlyView.
Tunable optical properties emerge through developmentally regulated ionic gating, which transforms disordered, ultraviolet (UV)‐absorbing organelles into concentrically ordered, liquid‐crystal‐like light scatterers. By integrating analyses of pteridine composition, potassium‐dependent assembly, hierarchical ultrastructure, and optical behavior, the ...
Sourabh Bera, Zohar Eyal, Yael Noy, Yuval Barzilay, Siddharth Sahoo, Srikant Moharana, Avi Baram, Tali Lerer‐Goldshtein, Neta Varsano, Bar Bader, Lothar Houben, Uwe Heinig, Iddo Pinkas, Moshe Goldsmith, Tamar Unger, Shira Albeck, Andrea Sorrentino, Maxim Itkin, Sergey Malitsky, Ziv Porat, Ido Hadar, Venkata Jayasurya Yallapragada, Dvir Gur   +22 more
wiley   +1 more source

A discrete wild horse optimizer for capacitated vehicle routing problem

Scientific Reports
The wild horse optimizer (WHO) is a novel metaheuristic algorithm, which has been successfully applied to solving continuous engineering problems. Considering the characteristics of the wild horse optimizer, a discrete version of the algorithm, named ...
Chuncheng Fang, Yanguang Cai, Yanlin Wu
doaj   +1 more source