Results 81 to 90 of about 37,309 (258)

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Aggregating Twitter Text through Generalized Linear Regression Models for Tweet Popularity Prediction and Automatic Topic Classification. [PDF]

Eur J Investig Health Psychol Educ, 2021
Mo C, Yin J, Fung IC, Tse ZTH.
europepmc   +1 more source

Inverse‐Designed Superchiral Hot Spot in Dielectric Meta‐Cavity Toward Ultra‐Compact Enantioselective Detection

Advanced Optical Materials, EarlyView.
Linearly polarized incident light with normal incidence creates enhanced optical chirality hotspots on the metasurface. Several orders of magnitude optical chirality enhancement offers a promising route toward highly sensitive, compact chiral spectroscopy.
Anastasia Romashkina, Omer Yesilurt, Vahagn Mkhitaryan, Owen Matthiessen, Min Jiang, Evgeny Lyubin, Bayarjargal N. Tugchin, Isabelle Staude, Jer‐Shing Huang, Thomas Pertsch, Alexander V. Kildishev   +10 more
wiley   +1 more source

Aberrations‐Corrected Ratiometric Parameters and PLQYs for Upconversion Thermometry in Hexagonal NaYF4:Yb3+,Er3+ and NaYF4:Yb3+,Tm3+ in Micro and Nanoscale Phosphors Using Novel Integrating Sphere Setup

Advanced Optical Materials, EarlyView.
Each optical system introduces aberrations in the reading of photoluminescence, which makes the signal dependant on the lab equipment. Here, a calibrated system is used to obtain the PLQYs and ratiometric parameters of popular upconverters to be used in thermometry.
Adilet Zhakeyev, Feng Li, Daniel Biner, Karl W. Krämer, Guanying Chen, Jose Marques‐Hueso   +5 more
wiley   +1 more source

Donor‐Strength‐Driven Evolution From Charge‐Transfer to Polymethine Excited States in CurcBF2 Derivatives

Advanced Optical Materials, EarlyView.
Donor strength governs the excited‐state character and TADF behavior of donor‐acceptor‐donor borondifluoride curcuminoid derivatives. Increasing donor strength drives a transition from charge‐transfer TADF to a zwitterionic polymethine structure with predominantly local excited‐state emission and suppressed TADF.
Anthony D'Aléo, Guillaume Michaluszko, Amandine Coron, Dae‐Hyeon Kim, Alban de Gary, Danillo Valverde, Elena Zaborova, Emilie Couzigné, Lorry Engel, Loïc Mager, Gabriel Canard, Chihaya Adachi, Yoann Olivier, Jean‐Charles Ribierre   +13 more
wiley   +1 more source

Deep Q-Learning-Based Content Caching With Update Strategy for Fog Radio Access Networks

IEEE Access, 2019
In order to improve the edge caching efficiency of the fog radio access network (F-RAN), this paper put forward a distributed deep Q-learning-based content caching scheme based on user preference prediction and content popularity prediction.
Fan Jiang, Zeng Yuan, Changyin Sun, Junxuan Wang   +3 more
doaj   +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

Research on multimodal social media information popularity prediction based on large language model

Tongxin xuebao
To address the limitations of strong feature dependency, insufficient generalization, and inadequate performance in few-shot/cold-start settings in existing multimodal social media popularity prediction algorithms, a MultiSmpLLM model based on large ...
WANG Jie, WANG Zitong, PENG Yan, HAO Bowen   +3 more
doaj  

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