Search research articles
Contact Us
Filters
Showing results (1-10 of 39) with videos related to
Page
of 4
Sort By:
Nature Computational Science
|
January 4, 2024
Machine learning speeds up search for surface structure
Mie Andersen
Accounts of Chemical Research
|
June 3, 2021
Adsorption Enthalpies for Catalysis Modeling through Machine-Learned Descriptors
Mie Andersen, Karsten Reuter
The Journal of Chemical Physics
|
July 28, 2023
Descriptors for binding energies at clusters: The case of nanosilicates as models of interstellar dust grains
Mie Andersen, Andreas Møller Slavensky
Frontiers in Chemistry
|
April 27, 2019
A Practical Guide to Surface Kinetic Monte Carlo Simulations
Mie Andersen, Chiara Panosetti, Karsten Reuter
Nature Computational Science
|
January 4, 2024
Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation
Wenbin Xu, Karsten Reuter, Mie Andersen
The Journal of Chemical Physics
|
October 23, 2017
Assessment of mean-field microkinetic models for CO methanation on stepped metal surfaces using accelerated kinetic Monte Carlo
Mie Andersen, Craig P Plaisance, Karsten Reuter
Neurochemical Research
|
February 18, 2017
Does Global Astrocytic Calcium Signaling Participate in Awake Brain State Transitions and Neuronal Circuit Function?
Celia Kjaerby, Rune Rasmussen, Mie Andersen, et al.
Current Opinion in Neurology
|
June 5, 2025
Neuroglia's signaling: orchestrating neuronal gamma synchrony?
Mie Andersen, Hajime Hirase, Celia Kjaerby, et al.
The Journal of Chemical Physics
|
May 21, 2026
How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis?
Luuk H E Kempen, Raffaele Cheula, Mie Andersen
The Journal of Chemical Physics
|
February 3, 2017
Perspective: On the active site model in computational catalyst screening
Karsten Reuter, Craig P Plaisance, Harald Oberhofer, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 39) with videos related to
Sort By:
Page
of 4
Nature Computational Science
|
January 4, 2024
Machine learning speeds up search for surface structure
Mie Andersen
Accounts of Chemical Research
|
June 3, 2021
Adsorption Enthalpies for Catalysis Modeling through Machine-Learned Descriptors
Mie Andersen, Karsten Reuter
The Journal of Chemical Physics
|
July 28, 2023
Descriptors for binding energies at clusters: The case of nanosilicates as models of interstellar dust grains
Mie Andersen, Andreas Møller Slavensky
Frontiers in Chemistry
|
April 27, 2019
A Practical Guide to Surface Kinetic Monte Carlo Simulations
Mie Andersen, Chiara Panosetti, Karsten Reuter
Nature Computational Science
|
January 4, 2024
Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation
Wenbin Xu, Karsten Reuter, Mie Andersen
The Journal of Chemical Physics
|
October 23, 2017
Assessment of mean-field microkinetic models for CO methanation on stepped metal surfaces using accelerated kinetic Monte Carlo
Mie Andersen, Craig P Plaisance, Karsten Reuter
Neurochemical Research
|
February 18, 2017
Does Global Astrocytic Calcium Signaling Participate in Awake Brain State Transitions and Neuronal Circuit Function?
Celia Kjaerby, Rune Rasmussen, Mie Andersen, et al.
Current Opinion in Neurology
|
June 5, 2025
Neuroglia's signaling: orchestrating neuronal gamma synchrony?
Mie Andersen, Hajime Hirase, Celia Kjaerby, et al.
The Journal of Chemical Physics
|
May 21, 2026
How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis?
Luuk H E Kempen, Raffaele Cheula, Mie Andersen
The Journal of Chemical Physics
|
February 3, 2017
Perspective: On the active site model in computational catalyst screening
Karsten Reuter, Craig P Plaisance, Harald Oberhofer, et al.
Page
of 4