Results 301 to 310 of about 3,213,103 (353)

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

Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models. [PDF]

Find ACL NAACL
Chen Z, Li P, Dong X, Hong P.
europepmc   +1 more source

Role of Liquid Composition in the Transient Liquid Assisted Growth of Superconducting YBa2Cu3O7‐δ Films

Advanced Materials, EarlyView.
The Y supersaturation in the [Ba‐Cu(I/II)‐O] transient liquid composition is the driving force toward YBCO nucleation and growth in TLAG. Tuning the initial (Ba:Cu) molar ratio in the ink composition determines the YBCO epitaxial nucleation through supersaturation control.
Lavinia Saltarelli, Diana García, Laia Soler, Elzbieta Pach, Kapil Gupta, Daniel Sanchez‐Rodriguez, Jordi Aguilar, Víctor Fuentes, Eduardo Solano, Cristian Mocuta, Jordi Farjas, Xavier Obradors, Teresa Puig   +12 more
wiley   +1 more source

Preface to the theme issue 'Uncertainty quantification for healthcare and biological systems (Part 2)'. [PDF]

Philos Trans A Math Phys Eng Sci
Kimpton LM, Paun LM, Colebank MJ, Volodina V.   +3 more
europepmc   +1 more source

Uncertainty Quantification of Central Canal Stenosis Deep Learning Classifier from Lumbar Sagittal T2-Weighted MRI

Brenzikofer A, Monzon M, Galbusera F, Manjaly Z, Cina A, Jutzeler CR.   +5 more
europepmc   +1 more source

Credibility Assessment of the Patient-Specific Modeling of the Aneurysmal Ascending Thoracic Aorta: Verification, Validation and Uncertainty Quantification. [PDF]

Cardiovasc Eng Technol
Scuoppo R, Catalano C, Crascì F, Pasta S.   +3 more
europepmc   +1 more source

Quantification of Multiple Types of Uncertainty in Physics-Based Simulation

, 2012
Inseok Park
openalex   +1 more source

Multimodal AI-driven object detection with uncertainty quantification for cardiovascular risk assessment in autistic patients. [PDF]

Front Cardiovasc Med
Tang L, Shen C.
europepmc   +1 more source

Uncertainty quantification with graph neural networks for efficient molecular design. [PDF]

Nat Commun
Chen LY, Li YP.
europepmc   +1 more source

Uncertainty Quantification of First Fix in a Time-Differenced Carrier Phase Observation Model. [PDF]

Sensors (Basel)
Cherfi H, Lesouple J, Solà J, Thevenon P.   +3 more
europepmc   +1 more source