Results 91 to 100 of about 1,570 (213)

Optimizing the Substrate for Hypercube‐Based Neuroevolution of Augmented Topologies to Design Soft Actuators

Concurrency and Computation: Practice and Experience, Volume 37, Issue 21-22, 25 September 2025.
ABSTRACT The characteristics of soft robots make them better candidates for applications such as healthcare, due to their enhanced safety, adaptability, and more natural human‐robot interaction compared to traditional counterparts. Different actuating systems have been proposed for soft robotics. On the other hand, since this technology is fairly young,
Hugo Alcaraz‐Herrera, Michail‐Antisthenis Tsompanas, Igor Balaz, Andrew Adamatzky   +3 more
wiley   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, Volume 37, Issue 35, September 4, 2025.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

Thermodynamics of Water and Ice from a Fast and Scalable First-Principles Neuroevolution Potential

, 2023
Machine learning potentials enable molecular dynamics simulations to exceed the size and time scales that can be accessed by first-principles methods like density functional theory, while still maintaining the accuracy of the underlying training dataset.
Margaret L., Berrens, Zekun, Chen, Zheyong, Fan, Kam-Tung, Chan, Davide, Donadio   +4 more
core   +1 more source

GPUMD 4.0: A high‐performance molecular dynamics package for versatile materials simulations with machine‐learned potentials

Materials Genome Engineering Advances, Volume 3, Issue 3, September 2025.
Graphics processing units molecular dynamics (GPUMD) is an open‐source high‐performance molecular dynamics package for versatile materials simulations with machine‐learned potentials. We present the GPUMD 4.0 release, with a comprehensive review of its development history, theoretical foundations, supported interatomic potential functions and ...
Ke Xu, Hekai Bu, Shuning Pan, Eric Lindgren, Yongchao Wu, Yong Wang, Jiahui Liu, Keke Song, Bin Xu, Yifan Li, Tobias Hainer, Lucas Svensson, Julia Wiktor, Rui Zhao, Hongfu Huang, Cheng Qian, Shuo Zhang, Zezhu Zeng, Bohan Zhang, Benrui Tang, Yang Xiao, Zihan Yan, Jiuyang Shi, Zhixin Liang, Junjie Wang, Ting Liang, Shuo Cao, Yanzhou Wang, Penghua Ying, Nan Xu, Chengbing Chen, Yuwen Zhang, Zherui Chen, Xin Wu, Wenwu Jiang, Esme Berger, Yanlong Li, Shunda Chen, Alexander J. Gabourie, Haikuan Dong, Shiyun Xiong, Ning Wei, Yue Chen, Jianbin Xu, Feng Ding, Zhimei Sun, Tapio Ala‐Nissila, Ari Harju, Jincheng Zheng, Pengfei Guan, Paul Erhart, Jian Sun, Wengen Ouyang, Yanjing Su, Zheyong Fan   +54 more
wiley   +1 more source

Neuroevolution-Based Network Architecture Evolution in Semiconductor Manufacturing

Promoted model architectures or algorithms are crucial for intelligent manufacturing since developing them takes a lot of trial and error to embed the domain knowledge into the models correctly.
Bing-Ru Jiang (16698963), Yen-Wei Feng (16698960), Albert Shihchun Lin (16698966)   +2 more
core   +1 more source

Numerical optimization with neuroevolution

, 2002
- Neuroevolution techniques have been successful in many sequential decision tasks such as robot control and game playing. This paper aims at establishing whether they can be useful in numerical optimization more generally, by comparing neuroevolution to
Brian Greer, Risto Lahdelma
core   +1 more source

Particle Swarm Optimization and Random Search for Convolutional Neural Architecture Search

IEEE Access
Evolutionary and swarm intelligence-based algorithms are commonly used as the search strategy component in Neural Architecture Search (NAS). However, little work has been done to quantify the performance improvements that these nature-inspired ...
Kosmas Deligkaris
doaj   +1 more source

Artificial Intelligent Application in Project Management: An Algorithm Comparison for Solar Plants Planning Construction

Expert Systems, Volume 42, Issue 9, September 2025.
ABSTRACT Construction planning is a critical and complex phase in the deployment of large‐scale renewable energy infrastructure. This study applies artificial intelligence techniques to a domain‐specific problem that has traditionally relied on expert judgement: the generation of detailed construction schedules for photovoltaic power plants.
Manuel Ángel López Ferreiro, Jesús Gil Ruiz, Óscar García, Luis De La Fuente Valentín   +3 more
wiley   +1 more source

Intelligent Prediction of Ship Maneuvering [PDF]

TransNav, 2016
In this paper the author presents an idea of the intelligent ship maneuvering prediction system with the usage of neuroevolution. This may be also be seen as the ship handling system that simulates a learning process of an autonomous control unit ...
Miroslaw Lacki
doaj   +1 more source

Softening of Vibrational Modes and Anharmonicity Induced Thermal Conductivity Reduction in a‐Si:H at High Temperatures

Advanced Electronic Materials, Volume 11, Issue 13, August 20, 2025.
This study developed a neuroevolution machine learning potential of both a‐Si:H and a‐Si systems, and revealed that the softening of vibrational modes and enhanced anharmonicity contribute to the reduction in thermal conductivity with increasing temperature and hydrogen concentration.
Zhuo Chen, Yuejin Yuan, Yanzhou Wang, Penghua Ying, Shouhang Li, Cheng Shao, Wenyang Ding, Gang Zhang, Meng An   +8 more
wiley   +1 more source