Results 211 to 220 of about 718,365 (286)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
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, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Correction: Retrosynthetic crosstalk between single-step reaction and multi-step planning. [PDF]

J Cheminform
Choe J, Kim H, Chok YT, Gim M, Kang J.
europepmc   +1 more source

Perception of the use of artificial intelligence by teachers in the computer science area at the Saturio Ríos 2024 Regional Education Center

Benito Agustín Almada Barrios
openalex   +2 more sources

Synthesizer: Chemistry‐Aware Machine Learning for Precision Control of Nanocrystal Growth

Advanced Materials, EarlyView.
A new, data‐efficient approach to CsPbBr3 nanocrystal optimization combines chemical and physical insights with a Gaussian Process‐based machine learning algorithm. Implementation of the “Synthesizer” enables nm‐precise tuning of the emission wavelength while reducing experimental load in optimizing peak narrowness and photoluminescence quantum yield ...
Nina A. Henke, Leo Luber, Ioannis Kouroudis, Jonathan Paul, Alexander Schuhbeck, Lukas M. Rescher, Tizian Lorenzen, Veronika Mayer, Knut Müller‐Caspary, Bert Nickel, Alessio Gagliardi, Alexander S. Urban   +11 more
wiley   +1 more source

AI research trends in liver cancer bibliometric analysis. [PDF]

Medicine (Baltimore)
Zhang T, Zheng Y, Zhang C, Li W, Wang Z, Du K, Wang Z.   +6 more
europepmc   +1 more source

Artificial intelligence vs. intellect (i.e. cybernetics vs. computer science)

Bibliothecae.it, 2023
openaire   +1 more source

Light‐Driven Reconfigurable Logic in a Monolithic Perovskite Device via Nonlinear Photoresponse Switching

Advanced Materials, EarlyView.
This study demonstrates a monolithic perovskite OELG device that performs all eight logic operations, including XOR and XNOR, without external bias. Enabled by trap‐engineered MAPbI3:PLL and dual photogates, it achieves reconfigurable logic and parallel decoding of amplitude–frequency signals, supporting scenario‐configured logic‐level separation for ...
Dante Ahn, Youngsoo Jang, Minz Lee, WooKyung Jeon, Yohan Yoon, Heon Lee, Assa Aravindh Sasikala, Namsoo Lim, Chandran Balamurugan, Hyeonghun Kim, Gun‐Young Jung, Sooncheol Kwon, Minah Seo, Yusin Pak   +13 more
wiley   +1 more source

Editorial: Methodology for emotion-aware education based on artificial intelligence. [PDF]

Front Artif Intell
Roig-Vila R, Cazorla M, Lallé S.
europepmc   +1 more source

The Impact of Artificial Intelligence on Computer Science Applications

Journal of Emerging Technologies and Innovative Research
Madhu N Y, Mahesha L S, Savitha N
openaire   +1 more source

Multi-Agent-Based Simulation IX (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Nuno David and Jaime Simao Paulo (eds.) .

, 2009
Martín Neumann
openalex   +1 more source