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Nastar

Showing results (1-10 of 15) with videos related to

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Faraday Discussions|March 1, 2007
A self-consistent mean field theory for diffusion in alloysMaylise Nastar, Vincent Barbe
Annals of the Academy of Medicine, Singapore|June 21, 2024
Re-examining the roles of generalists and specialists in healthcarePriyanka Khatri, Ashna Nastar, Gim Gee Teng, et al.
Physical Review Letters|July 17, 2015
Equilibrium Vacancy Concentration Driven by Undetectable ImpuritiesThomas Schuler, Caroline Barouh, Maylise Nastar, et al.
Nature Materials|May 23, 2006
Complex precipitation pathways in multicomponent alloysEmmanuel Clouet, Ludovic Laé, Thierry Epicier, et al.
Physical Review Letters|March 24, 2018
Role of Sink Density in Nonequilibrium Chemical Redistribution in AlloysEnrique Martínez, Oriane Senninger, Alfredo Caro, et al.
Data in Brief|November 1, 2019
Estimation of missing data of monthly rainfall in southwestern Colombia using artificial neural networksTeresita Canchala-Nastar, Yesid Carvajal-Escobar, Wilfredo Alfonso-Morales, et al.
Sensors (Basel, Switzerland)|March 17, 2025
EEG-Based Music Emotion Prediction Using Supervised Feature Extraction for MIDI GenerationOscar Gomez-Morales, Hernan Perez-Nastar, Andrés Marino Álvarez-Meza, et al.
Physical Chemistry Chemical Physics : PCCP|September 21, 2022
Capabilities and limits of autoencoders for extracting collective variables in atomistic materials scienceJacopo Baima, Alexandra M Goryaeva, Thomas D Swinburne, et al.
Sensors (Basel, Switzerland)|July 8, 2023
Affective Neural Responses Sonified through Labeled Correlation AlignmentAndrés Marino Álvarez-Meza, Héctor Fabio Torres-Cardona, Mauricio Orozco-Alzate, et al.
Physical Chemistry Chemical Physics : PCCP|August 22, 2023
Semi-supervised generative approach to chemical disorder: application to point-defect formation in uranium-plutonium mixed oxidesMaciej J Karcz, Luca Messina, Eiji Kawasaki, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Faraday Discussions|March 1, 2007
A self-consistent mean field theory for diffusion in alloysMaylise Nastar, Vincent Barbe
Annals of the Academy of Medicine, Singapore|June 21, 2024
Re-examining the roles of generalists and specialists in healthcarePriyanka Khatri, Ashna Nastar, Gim Gee Teng, et al.
Physical Review Letters|July 17, 2015
Equilibrium Vacancy Concentration Driven by Undetectable ImpuritiesThomas Schuler, Caroline Barouh, Maylise Nastar, et al.
Nature Materials|May 23, 2006
Complex precipitation pathways in multicomponent alloysEmmanuel Clouet, Ludovic Laé, Thierry Epicier, et al.
Physical Review Letters|March 24, 2018
Role of Sink Density in Nonequilibrium Chemical Redistribution in AlloysEnrique Martínez, Oriane Senninger, Alfredo Caro, et al.
Data in Brief|November 1, 2019
Estimation of missing data of monthly rainfall in southwestern Colombia using artificial neural networksTeresita Canchala-Nastar, Yesid Carvajal-Escobar, Wilfredo Alfonso-Morales, et al.
Sensors (Basel, Switzerland)|March 17, 2025
EEG-Based Music Emotion Prediction Using Supervised Feature Extraction for MIDI GenerationOscar Gomez-Morales, Hernan Perez-Nastar, Andrés Marino Álvarez-Meza, et al.
Physical Chemistry Chemical Physics : PCCP|September 21, 2022
Capabilities and limits of autoencoders for extracting collective variables in atomistic materials scienceJacopo Baima, Alexandra M Goryaeva, Thomas D Swinburne, et al.
Sensors (Basel, Switzerland)|July 8, 2023
Affective Neural Responses Sonified through Labeled Correlation AlignmentAndrés Marino Álvarez-Meza, Héctor Fabio Torres-Cardona, Mauricio Orozco-Alzate, et al.
Physical Chemistry Chemical Physics : PCCP|August 22, 2023
Semi-supervised generative approach to chemical disorder: application to point-defect formation in uranium-plutonium mixed oxidesMaciej J Karcz, Luca Messina, Eiji Kawasaki, et al.
Pageof 2