Results 31 to 40 of about 22,632 (246)

Overcoming the Curse of Dimensionality in the Numerical Approximation of Parabolic Partial Differential Equations with Gradient-Dependent Nonlinearities [PDF]

Foundations of Computational Mathematics, 2019
Partial differential equations (PDEs) are a fundamental tool in the modeling of many real-world phenomena. In a number of such real-world phenomena the PDEs under consideration contain gradient-dependent nonlinearities and are high-dimensional. Such high-
Martin Hutzenthaler, Arnulf Jentzen, T. Kruse   +2 more
semanticscholar   +1 more source

Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

Advanced Science, EarlyView.
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He, Yifan Du, Ziqi Fu, Youcun Zheng, Nils Muhlert, Barbara Sahakian, Rebecca Elliott   +6 more
wiley   +1 more source

Tackling the Curse of Dimensionality with Physics-Informed Neural Networks [PDF]

Neural Networks, 2023
Zheyuan Hu, K. Shukla, G. Karniadakis, Kenji Kawaguchi   +3 more
semanticscholar   +1 more source

Highly Efficient Discovery of 3D Mechanical Metamaterials via Monte Carlo Tree Search

Advanced Science, EarlyView.
Machine learning (ML), as a data‐driven method, has revolutionized metamaterial design, surpassing traditional intuition‐driven trial‐and‐error methods in both efficiency and performance. Here, MCTS‐AL, an active learning framework integrating finite element simulation (FEM), convolutional neural networks (CNNs), and Monte Carlo Tree Search (MCTS ...
Jiamu Liu, Bo Peng, Weiyun Xu, Ye Wei, Peng Wen   +4 more
wiley   +1 more source

Who Are the Farmers Participating in a Carbon Sequestration Program? Results of a Discrete Choice Experiment in Germany

Agribusiness, EarlyView.
ABSTRACT Agricultural soils offer great potential for carbon sequestration through humus formation. One way to motivate farmers to build up humus is through humus programs. These are still at an early stage of development, poorly explored, and the number of participating farmers is low. Our aim is to explain the heterogeneity of farmers' willingness to
Julia B. Block, Michael Danne, Oliver Mußhoff   +2 more
wiley   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Recent Advancements in Topic Modeling Techniques for Healthcare, Bioinformatics, and Other Potential Applications

Advanced Intelligent Systems, EarlyView.
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari, Sachin Kadian, Mukund Vora, Pradyumna Vemuri, Sumit Kumar, Om Prakash Verma, Roger J. Narayan   +6 more
wiley   +1 more source

A Soft Pneumatic Exosuit to Assist Pronosupination in Individuals with Spinal Cord Injury

Advanced Intelligent Systems, EarlyView.
A lightweight (30 g) textile‐based pneumatic exosuit assists forearm pronosupination in individuals with cervical spinal cord injury. The soft robot enhances forearm range of motion and reduces muscle effort without hindering hand function. Tested in 10 patients during an interactive exergame, it improves motor performance and demonstrates promise for ...
Roberto Ferroni, Gaetano D’Avola, Daniele Filippo Mauceri, Chiara Pau, Giorgia Sciarrone, Gabriele Righi, Jacopo Carpaneto, Marta Gandolla, Giulio Del Popolo, Silvestro Micera, Tommaso Proietti   +10 more
wiley   +1 more source

Is Computing with Light All You Need? A Perspective on Codesign for Optical Artificial Intelligence and Scientific Computing

Advanced Intelligent Systems, EarlyView.
This perspective article considers what computations optical computing can and should enable. Focusing upon free‐space optical computing, it argues that a codesign approach whereby materials, devices, architectures, and algorithms are simultaneously optimized is needed.
Prasad P. Iyer, Gaurang R. Bhatt, Saaketh Desai, Elliot J. Fuller, Corinne M. Teeter, François Léonard, Craig M. Vineyard   +6 more
wiley   +1 more source