Results 211 to 220 of about 11,198,121 (288)

Physics-informed machine learning analysis for nanoscale grain mapping by synchrotron Laue microdiffraction. [PDF]

J Appl Crystallogr
Chan KH, Huang X, Tamura N, Chen X.
europepmc   +1 more source

Microwall‐Integrated Terahertz Metasurfaces for Spatially Guided Label‐Free Sensing of Micrometer‐Scale Plastic Particles

Advanced Materials Technologies, EarlyView.
A THz metasurface device integrating a metal–dielectric–metal resonator with microwall‐defined recessed regions enables spatially guided, label‐free sensing of micrometer‐scale plastic particles. The as‐fabricated devices exhibit distinct THz reflection resonances for 3.1‐µm polystyrene particles and a concentration‐dependent resonance‐frequency‐shift ...
Naoki Inomata, Yuki Sakai, Yoshiaki Kanamori   +2 more
wiley   +1 more source

Comment on "Advancing material property prediction: using physics-informed machine learning models for viscosity". [PDF]

J Cheminform
Fleck M, Darouich S, Spera MBM, Hansen N.   +3 more
europepmc   +1 more source

Organoids as Building Blocks for Adaptive and Resilient Biohybrid Robots

Advanced Materials Technologies, EarlyView.
ABSTRACT Biohybrid robots combine engineered living tissues with synthetic materials and have emerged as a promising class of soft robotic systems capable of mimicking biological functions such as biodegradability, energy efficiency and flexible motions. By integrating biological and synthetic components, these systems leverage complementary properties
Antonia Georgopoulou
wiley   +1 more source

A Benchmark for Physics-informed Machine Learning of Chlorine Concentration States in Water Distribution Networks. [PDF]

SN Comput Sci
Hermes L, Artelt A, Vrachimis SG, Polycarpou MM, Hammer B.   +4 more
europepmc   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

From PINNs to PIKANs: recent advances in physics-informed machine learning. [PDF]

Mach Learn Comput Sci Eng
Toscano JD, Oommen V, Varghese AJ, Zou Z, Daryakenari NA, Wu C, Karniadakis GE.   +6 more
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Accelerating the Structure Exploration of Diverse Bi-Pt Nanoclusters via Physics-Informed Machine Learning Potential and Particle Swarm Optimization. [PDF]

Chemphyschem
Vangheluwe R, Clavaguéra C, Truong MT, Domin D, Pham HC, Marinica MC, Van-Oanh NT.   +6 more
europepmc   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source