Results 121 to 130 of about 186,627 (254)

Cross‐Phase Modulation via Time‐Varying Epsilon‐Near‐Zero Metasurfaces

Advanced Optical Materials, EarlyView.
Time‐varying epsilon‐near‐zero metasurfaces are shown to enable cross‐phase modulation beyond conventional ENZ excitation. By engineering dual absorption bands and exploiting oblique ultrafast pumping, large and broadband frequency translations are achieved at low pump energies.
Rakesh Dhama, Md Imran Hossain, Jesse Pietila, Thomas Fordell, Humeyra Caglayan   +4 more
wiley   +1 more source

Grid Integration for Electric Vehicles: A Realistic Strategy for Environmentally Friendly Mobility and Renewable Power

World Electric Vehicle Journal
The promotion of electric vehicles (EVs) as sustainable energy sources for transportation is advocated due to global considerations such as energy consumption and environmental challenges. The recent incorporation of renewable energy sources into virtual
Pradeep Vishnuram, Sureshkumar Alagarsamy   +1 more
doaj   +1 more source

Projector‐Induced Waveguide Encoded Lattices (ProWELs) with Optical Functionality: From Enhanced Fields of View (FOV) to 3D Data Encoding

Advanced Optical Materials, EarlyView.
We describe the fabrication of 3D polymeric waveguide architectures with tunability of waveguide diameter, lattice symmetry and long and short‐range order using an inexpensive (< $400 CAD) digital light projector. We demonstrate that Projector induced Waveguide Encoded Lattices (ProWELs) possess advanced functionality including tuneable Fields of View (
Kyle Stegman, Dusan Srdic, Fariha Mahmood, Kalaichelvi Saravanamuttu   +3 more
wiley   +1 more source

Bridging Optical and Mechanical Metamaterial/Metasurface Realms Toward Integrated Meta‐Systems

Advanced Optical Materials, EarlyView.
This perspective describes the rise of metamaterials in the field of materials science, specifically with optical and mechanical functionality. Fundamentals of both optical and mechanical metamaterials are discussed with a review of state‐of‐the‐art metamaterial science.
Justin Brackenridge, Jaejun Lee, Vladimir V. Tsukruk   +2 more
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Optimizing multi-energy fow scheduling of hydrogen-inclusive virtual power plants based on deep reinforcement learning under dual-carbon targets

电力工程技术
Virtual power plants, as a comprehensive energy network with multi-energy flow interconnection, have become an important player in China's accelerated pursuit of its dual carbon goals.
YU Xiaorong, XU Qingshan, DU Puliang, WANG Dong   +3 more
doaj   +1 more source

Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review

Advanced Robotics Research, EarlyView.
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj, Quan‐Chen Song, Jia‐Yang Juang   +2 more
wiley   +1 more source

Explaining the lack of dynamics in the diffusion of small stationary fuel cells [PDF]

Using the reaction of hydrogen with oxygen to water in order to produce electricity and heat, promises a high electrical efficiency even in small devices which can be installed close to the consumer.
Droste-Franke, Bert, Kruger, Jorg, Lingner, Stephan, Ziesemer, Thomas H.W.   +3 more
core  

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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source