Results 61 to 70 of about 443,258 (294)
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source
Assessment of STEM e-Learning in an Immersive Virtual Reality (VR) Environment [PDF]
This paper shows the early research findings of utilizing a virtual reality environment as an educational tool for the operation of a computerized numerical control (CNC) milling machine.
El-Mounayri, Hazim +3 more
core +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
A bytecode set for adaptive optimizations [PDF]
International audienceThe Cog virtual machine features a bytecode interpreter and a baseline Just-in-time compiler. To reach the performance level of industrial quality virtual machines such as Java HotSpot, it needs to employ an adaptive inlining com ...
Béra, Clément, Miranda, Eliot
core +1 more source
Digital Availability of Product Information for Collaborative Engineering of Spacecraft [PDF]
In this paper, we introduce a system to collect product information from manufacturers and make it available in tools that are used for concurrent design of spacecraft.
A. L. Ramos +7 more
core +3 more sources
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
The advent of designing flexural systems was to provide accurate micro and nano displacement between the assembly members of the mechanism. Applications that used these mechanisms included linear compressors, optomechanical devices, Stirling engines ...
Sachin Manohar Shinde +7 more
doaj +1 more source
Virtual Optimization of Machine Tools and Production Processes
Faster development of innovative machine tools, shorter processing times, improved surface quality of workpieces, higher machine productivity – these are just a few of the wishes and demands of machine manufacturers and end-users. Time-to-market is decisive; in some industries, six months too late on the market can already be decisive in losing the ...
Jochen Bretschneider, Thomas Menzel
openaire +1 more source
IMRT QA using machine learning: A multi-institutional validation. [PDF]
PurposeTo validate a machine learning approach to Virtual intensity-modulated radiation therapy (IMRT) quality assurance (QA) for accurately predicting gamma passing rates using different measurement approaches at different institutions.MethodsA Virtual ...
Chan, Maria F +5 more
core +2 more sources
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

