Results 211 to 220 of about 401,511 (278)

Conformal prediction for uncertainty quantification in dynamic biological systems. [PDF]

PLoS Comput Biol
Portela A, Banga JR, Matabuena M.
europepmc   +1 more source

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

Prediction, Uncertainty Quantification, and ANN-Assisted Operation of Anaerobic Digestion Guided by Entropy Using Machine Learning. [PDF]

Entropy (Basel)
Zhuang Z, Liu X, Jin J, Li Z, Liu Y, Tavares A, Li D.   +6 more
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

Development and Bayesian Uncertainty Quantification of Coarse-Grained Models of Metals Based on Embedded Atom Method Potentials. [PDF]

J Chem Theory Comput
Sose AT, Gustke T, Bejagam KK, Wang F, Savara A, Deshmukh SA.   +5 more
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
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, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Uncertainty Quantification of Network Inference with Data Sufficiency. [PDF]

IEEE Trans Netw Sci Eng
Singhal B, Ocampo-Espindola JL, Nikhil KL, Herzog ED, Kiss IZ, Li JS.   +5 more
europepmc   +1 more source

Crystal Growth Engineering for Dendrite‐Free Zinc Metal Plating

Advanced Materials, EarlyView.
This research employed the rare‐earth ion dysprosium (Dy) to modulate aqueous zinc (Zn) metal plating. Integrated multiscale experiments and computational modeling unveiled the preferential adsorption of Dy on specific crystal facets, which activated screw dislocation‐driven Zn growth.
Guifang Zeng, Sharona Horta, Qing Sun, Malik Dilshad Khan, Maria Ibáñez, Yuhang Han, Shang Wang, Longqiu Li, Lijie Ci, Yanhong Tian, Andreu Cabot   +10 more
wiley   +1 more source

Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics. [PDF]

Health Inf Sci Syst
Bhattacharyya S, Pal U, Chakraborti T.
europepmc   +1 more source