Results 71 to 80 of about 568,612 (291)

Two‐Photon Grayscale Lithography (2GL) of High Mechanical and Optical Quality 3D Silica Glass Microstructures

Advanced Functional Materials, EarlyView.
Two‐photon grayscale lithography (2GL) enables high‐speed and precise 3D printing of thermolyzed silica glass microstructures with optical‐grade surface quality, high quality factors, and mechanical strength utilizing a custom‐made pre‐glass resist based on polyhedral oligomeric silsesquioxane (POSS) modified with a high‐sensitivity Norrish type II ...
Jonathan L. G. Schneider, Jiajie Liang, Paul Somers, Martin Wegener, Jens Bauer   +4 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Rapid Computation of the Spache Revised Readability Formula [PDF]

, 1980
Many people who use readability formulas avoid using the Spache Revised Readability Formula (1974) because, they say, it takes too much time.
Smith, Lawrence L
core   +1 more source

Prompt Engineering Versus Model Selection for Cognitive Accessibility in Large Language Models: An Empirical Study

IEEE Access
The promise of large language models (LLMs) for individuals with learning disabilities and cognitive impairments is significant, yet their practical accessibility remains limited by readability barriers.
Redhwan R. Nour
doaj   +1 more source

3515 Readability of online patient education materials on gynecologic malignancies from major medical associations

Journal of Clinical and Translational Science, 2019
OBJECTIVES/SPECIFIC AIMS: Patients are increasingly using online materials to learn about gynecologic cancer. Recent studies demonstrate that 85-96% of patients with a gynecologic malignancy utilize the Internet as a health resource.
David Samuel, Nicole Vilardo, Sara Isani, Gregory Gressel   +3 more
doaj   +1 more source

Sub‐1 ms Optoelectronic Synapse Based on {ZnCdO/ZnO} Multilayer Structure for High‐Speed Neuromorphic Vision Systems

Advanced Functional Materials, EarlyView.
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski, Eunika Zielony, Adrian Kaim, Ewa Przeździecka   +3 more
wiley   +1 more source

Readability analysis of ChatGPT's responses on lung cancer

Scientific Reports
For common diseases such as lung cancer, patients often use the internet to obtain medical information. As a result of advances in artificial intelligence and large language models such as ChatGPT, patients and health professionals use these tools to ...
Adem Gencer
doaj   +1 more source

Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes

Advanced Materials, EarlyView.
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti, Sergio Martínez‐Saiz, Morena Cervino, Edoardo Stanzani, Sandra Jenatsch, Qingsen Zeng, Joo Sung Kim, Dong‐Hyeok Kim, Eojin Yoon, Tae‐Woo Lee, Daniel Tordera, Henk J. Bolink   +11 more
wiley   +1 more source

Using readability tests to predict helpful product reviews [PDF]

, 2010
Paper presented at RIAO 2010 the 9th international conference on Adaptivity, Personalization and Fusion of Heterogeneous Information, Paris, France, April 28-30, 2010User-generated content provides online consumers with a wealth of information. Given the
O'Mahony, Michael P., Smyth, Barry
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source