
Accelerating Molecular Simulations with Triton: Fused GPU Kernels for TensorNet Neural Potentials
Molecular dynamics (MD) simulations are essential for understanding molecular behavior in biology and chemistry, but remain computationally expensive at the scales required for drug discovery and mβ¦
hgpu.orgIn the last part of Aron's molecular simulations series, we dive into the nitty-gritty of training molecular models, including how to obtain the training data. Don't miss Aron Jansen's insights on potential caveats! #modelling #molecularsimulations
Read Aron's blog here:
https://blog.esciencecenter.nl/molecular-simulations-using-machine-learning-part-3-4dd964ce8b40

Molecular Simulations using Machine Learning, Part 3
In the first part of this series we looked at the physics of simulating molecules, and went from quantum mechanics to something that is more efficient to solve, namely density functional theory andβ¦
Netherlands eScience CenterAre you a scientist interested in designing machine learning models? Check out part 2 of Aron Jansen's series on using machine learning for molecular simulations! Aron walks through the design process step-by-step, offering insights for scientists in any field. #MachineLearning #MolecularSimulations
https://medium.com/@aronpjansen/1d647acd242c?source=friends_link&sk=04e5347c9dfe940568ab9edb98773ee1

Molecular Simulations using Machine Learning, Part 2
In this post, I will walk through the process of designing a model used in molecular simulations, from essential to state of the art. This is the second part of a series on using machine learning forβ¦
Netherlands eScience Centerdate: 2023-04-04 09:19:56
by: Yasaman Karami
Are you interested in protein-RNA complexes? We have an open #PhDposition on developing deep learning methods to understand the dynamic behaviour of these systems. Deadline: May 9, 2023. See: https://recrutement.inria.fr/public/classic/fr/offres/2023-05932
#deeplearning #molecularsimulations #compchem
π¦π: https://twitter.com/twitter/statuses/1643181597292724226
#PhdPosition
PhD Position F/M Elucidating conformational dynamics of protein-RNA complexes
Offre d'emploi Inria
Inria
Piercing the armour: C. difficile S-layer permeability at Newcastle University on FindAPhD.com
PhD Project - Piercing the armour: C. difficile S-layer permeability at Newcastle University, listed on FindAPhD.com
www.FindAPhD.comMy current work is on "#ClayMinerals as sorbents for #HydrophobicOrganicChemicals - #ClayHOC" at #JLUgiessen together with my colleagues Martin Gerzabek, Daniel Tunega, and Peter Grancic from #BOKU Vienna.
Funding by #DFG and #FWF is highly acknowledged.
#adsorption #spme #pollutants #MolecularSimulations
https://gepris.dfg.de/gepris/projekt/443637168?language=en
DFG - GEPRIS - Clay minerals as sorbents for Hydrophobic Organic Chemicals (ClayHOC)
Hydrophobic organic chemicals (HOCs), such as halogenated aromatic hydrocarbons, may be highly persistent in the environment and cause harmful effects on ...