Results 141 to 150 of about 32,526 (310)
Bounds for the Diameters of Orbital Graphs of Affine Groups. [PDF]
Vietnam J Math, 2023 Maróti A, Skresanov SV.
europepmc +1 more source
Tunable Multifunctional Terahertz Coding Metasurface for Polarization Manipulation
Advanced Photonics Research, EarlyView.Coding metasurfaces (CMs) offer versatile control over electromagnetic waves. Herein, a tunable multifunctional terahertz (THz) metasurface integrated with vanadium dioxide (VO2) is presented, enabling propagation‐phase manipulation of linearly polarized waves and hybrid‐phase control of circularly polarized waves.
Chunsheng Zhang +10 more
wiley +1 more source
Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility. [PDF]
Entropy (Basel), 2022 Beyer K, Luoma K, Lenz T, Strunz WT.
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Integer‐valued Trawl Processes: A Class of Stationary Infinitely Divisible Processes
, 2014 Ole E. Barndorff–Nielsen +3 more
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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 +3 more
wiley +1 more source
A class of infinitely divisible positive definite functions on topological groups [PDF]
, 1973 K. Schmidt
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Look at Tempered Subdiffusion in a Conjugate Map: Desire for the Confinement. [PDF]
Entropy (Basel), 2020 Stanislavsky A, Weron A.
europepmc +1 more source
Advanced Theory and Simulations, EarlyView.This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa +2 more
wiley +1 more source