Results 181 to 190 of about 73,947 (261)
Oxidizing Role of Cu Cocatalysts in Unassisted Photocatalytic CO2 Reduction Using p-GaN/Al2O3/Au/Cu Heterostructures. [PDF]
Zoric MR +13 more
europepmc +1 more source
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Graphene/ZnO Nanowire/p-GaN Vertical Junction for a High-Performance Nanoscale Light Source. [PDF]
Lin F +6 more
europepmc +1 more source
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley +1 more source
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Rapid self‐discharge limits the practical deployment of Zn–Br2 batteries. Herein, a gemini ionic liquid featuring dual bromine‐binding sites and an aromatic linker is confined within porous carbon electrodes. The ionic liquid simultaneously complexes bromine species and interacts strongly with the carbon matrix, enabling efficient bromine retention ...
Vishwakarma Ravikumar Ramlal +10 more
wiley +2 more sources
ABSTRACT Heterozygous germline variants in CBL disrupt its function as a negative regulator of the Ras/MAPK pathway, classically predisposing to Juvenile myelomonocytic leukemia (JMML) and moyamoya. We describe two affected siblings carrying a paternally inherited CBL variant (c.1210 T> C, p.
Michal Bar‐Hakim +12 more
wiley +1 more source

