CS

Kommende

Evaluating the Phase Behaviour of Silica Modeled by the Vashishta Potential Using Free Energy Methods

Tid og sted: 14. okt. 2022 10:00, Rom Ø434, Fysikkbygningen

Electrostatics in Mesoscale Simulations of Biological Membranes using the Hybrid Particle-Field Approach

Tidligere

Tid og sted: 26. sep. 2022 11:30, Rom Ø397, Fysikkbygningen

Studying Place Cell Formation and Remapping in an Artificial Neural Network Model

Tid og sted: 12. sep. 2022 10:00, Rom Ø397, Fysikkbygningen

Predicting static friction in a molecular dynamic system using machine learning

Tid og sted: 31. aug. 2022 09:00, Kristian Birkelands auditorium, Fysikkbygningen

Bayesian neural network estimation of next-to-leading order cross sections

Tid og sted: 1. juli 2022 09:00, Lille fysiske auditorium, Fysikkbygningen

A machine learning approach to understanding depression and anxiety in new mothers

Tid og sted: 30. juni 2022 12:30, Lille fysiske auditorium, Fysikkbygningen

Towards predicting Harmful Conspiracies through Phase Transitions in Complex Interaction Networks

Tid: 30. juni 2022 09:00

Applications of the Yang-Mills gradient flow to topological observables in QCD

Tid: 29. juni 2022 09:00

Solving the Many-Electron Problem Using Neural Networks and Variational Monte Carlo

Tid og sted: 22. juni 2022 11:45, Kristian Birkelands auditorium, Fysikkbygningen

Characterization of Cardiac Cellular Dynamics Using Physics-informed Neural Networks

Tid: 18. jan. 2022 12:00

Artificial Neural Networks In Variational Monte Carlo