Results 91 to 100 of about 184,866 (267)
Training Artificial Intelligence on a Gender-Biased Virtual World can Result in Biased Conclusions. [PDF]
Carlisle BG +3 more
europepmc +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Optimizing Hepatology Education in the Virtual World. [PDF]
Kim B, Terrault NA.
europepmc +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Metaverse Technique: Accounting Practice in a Virtual World
The research aims to describe and discuss Metaverse techniques and how our future digital environment should look, and the accounting practices in a virtual world. A normative approach is considered an appropriate approach for future research.
Nesrine Mansour, Mohammed Abuyousef
doaj
A New Virtual World? The Future of Immersive Environments in Anesthesiology. [PDF]
Alam F, Matava C.
europepmc +1 more source
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Improving Oral Presentation Skills for Radiology Residents through Clinical Session Meetings in the Virtual World Second Life. [PDF]
Pino-Postigo A +5 more
europepmc +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source

