Results 211 to 220 of about 16,533 (261)

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis. [PDF]

Nat Commun
Wang F, Zhai Z, Zhao Z, Di Y, Chen X.
europepmc   +1 more source

Auto‐Routing Fluidic Printed Circuit Boards

Advanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre, Lehong Wang, Haotian Liu, Markus P. Nemitz   +3 more
wiley   +1 more source

Physics-Informed Neural Network-Based Pulsatile Flow Modeling and Targeted Drug Delivery Optimization in Computational Hemodynamics.

J Pharm Bioallied Sci
Vaghela AK.
europepmc   +1 more source

Correction: Meyer zu Westerhausen et al. Optimisation of Sensor and Sensor Node Positions for Shape Sensing with a Wireless Sensor Network-A Case Study Using the Modal Method and a Physics-Informed Neural Network. <i>Sensors</i> 2025, <i>25</i>, 5573. [PDF]

Sensors (Basel)
Meyer Zu Westerhausen S, Hichri I, Herrmann K, Lachmayer R.   +3 more
europepmc   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots

Advanced Robotics Research, EarlyView.
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li, Shuai Liu, Xinyi Wang, Xinglong Gong, Shouhu Xuan   +4 more
wiley   +1 more source

Optimal approximations for the free boundary problems of the space-time fractional Black-Scholes equations using a combined physics-informed neural network. [PDF]

Sci Rep
Song L, Tan Y, Yu F, Luo Y, Zheng J.
europepmc   +1 more source

Molecular Appendix Adjusted Architectural Propagations of Red‐Light Controlled Macroscopic Photoactuating Performances

Advanced Robotics Research, EarlyView.
Amphiphilic chloroazobenzenes, bearing different amino acids as end groups alanine, phenylalanine, and valine, exhibit excellent photoisomerizations. Varying structures of three amino acid groups participate in supramolecular formations and therefore photoinduced morphological transformations via adjusting intermolecular interactions. These interaction
Shuangshuang Meng, Ming‐Hin Chau, Takashi Kajitani, Franco King‐Chi Leung   +3 more
wiley   +1 more source

Diffusion Correction in Fricke Hydrogel Dosimeters: A Deep Learning Approach with 2D and 3D Physics-Informed Neural Network Models. [PDF]

Gels
Romeo M, Cottone G, D'Oca MC, Bartolotta A, Gallo S, Miraglia R, Gerasia R, Milluzzo G, Romano F, Gagliardo C, Di Martino F, d'Errico F, Marrale M.   +12 more
europepmc   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source