Все публикации

0:00:50

Carrier tracking in a TADF OLED - Kinetic Monte Carlo Simulation

0:04:37

Battery Modeling with the Amsterdam Modeling Suite (Confererence Reel)

0:21:51

Modelling OLED: From Molecule to Device in Data-driven R&D Acceleration | Bart Klumpers | BumbleBee

0:57:38

Unraveling organic reactions with the Amsterdam Modeling Suite | Trevor A. Hamlin | AMS Webinar 2024

0:41:48

A practical guide to GW-BSE and Sigma-functionals in AMS | Arno Förster | AMS Webinar Series 2024

0:38:25

Recent Advances in Modeling Surface-Enhanced Raman Scattering | Lasse Jensen | AMS Webinars 2024

0:40:45

AIMNet2 – A Robust Neural Network Potential | Roman Zubatyuk | AMS Webinars 2024

0:30:18

Leverage Battery Research with the Amsterdam Modeling Suite | Nicolas Onofrio | AMS Webinars 2024

0:11:09

Remote Queues With ADFJobs

0:02:26

How to run multiple PLAMS jobs through SLURM

0:02:37

Concentration dependent Li migration barriers in LiTiS2 with M3GNET Machine Learning potential

0:02:24

Automatic discovery of transition states and local minima - Water splitting on the TiO2 surface

0:01:55

AMS in the cloud: How to use the ThinLinc Server

0:03:07

Singlet-Triplet (S0 - T1) gap with spin-orbit qs-GW-Bethe−Salpeter Equation

0:03:03

Li ion reduction at the graphene surface with eReaxFF

0:53:52

NMR shielding, J-coupling and EFG analysis with NBOs available – Jochen Autschbach

1:21:01

Multiscale optimisation of OLED materials and devices with AMS and Bumblebee

0:43:49

Time Dependent Density Functional Theory + Tight Binding gradients – C.M. Aikens & S. Havenridge

1:03:55

Excitation energy calculations with (nearly) exact Kohn-Sham potentials – Evert Jan Baerends

0:02:51

Tribology: Friction coefficients via non-equilibrium molecular dynamics (NEMD) with AMS

0:02:11

Graphite to Diamond phase transition (geometry optimizations under stress)

0:53:52

Discovering the uniqueness of hydrogen bonding with the EDA - Célia Fonseca Guerra

0:02:16

Fast and accurate prediction of Kevlar's mechanical properties via ANI-2X Machine Learning Potential

0:33:18

The AMS2023 Release: New Features