Highlights with ‘machine learning’

Bring your Materials Challenges to TechConnect World Innovation Challenge

At the TechConnect World Innovation Challenge, Fedor will be pitching (June 18, 10.30am, Maryland 3) to all those looking to accelerate their new molecule and materials R&D. Bring us your challenges to leverage the combined...

Discuss your Battery Materials Challenges at the 245th ECS Meeting

Nicolas is looking forward to discussing your R&D challenges at the ECS meeting in San Francisco and how the Amsterdam Modeling Suite can help you develop new battery materials faster and with less resources. On...

ReaxFF and ML potential fitting workshops in Asia

In May, we will give hands-on Parametrization workshops in Tianjin, Guangzhou, Hong Kong, Seoul, Daejeon, and Taipei with our 2024 release. The workshop will include the new functionality to train machine learning potentials (flyer for workshops by Paul...

SCM at Materials Science Mega Webinar

At the Materials Science Mega Webinar, Nicolas will discuss how atomistic and multiscale simulations with the Amsterdam Modeling Suite can accelerate the discovery of new, improved materials. Tune in on Wed 10 April to hear...

Discuss your Battery Research & Development at InterBattery Korea

The Dutch embassy in Korea hosts a stand at InterBattery (B401, Hall B COEX) where Fedor will represent SCM and will be happy to discuss how atomistic and multiscale simulations can help you understand battery...

Discuss your Materials Research Challenges at TMS2024

Come and talk about your materials challenges with Nicolas at the TMS meeting in Orlando. He would be happy to discuss how simulations could accelerate your discovery of new materials or optimize your processes. Exhibit...

Concentration dependent Li migration barriers in LiTiS2 with M3GNET (video tip of the week)

In this video tip of the week we take a look at Li migration barriers inside a crystal structure with the fast and accuratue M3GNET machine learning potential. The video is based on a new...

Discuss your Materials Research Challenges at the MRS Fall Meeting

Come and talk about your materials challenges with Fedor and Nicolas at the MRS while enjoying a Dutch caramel waffle, stroopwafel, at booth 719 at the MRS exhibition. We love to discuss how we can...

Li ion reduction at the graphene surface with eReaxFF (video tip of the week)

In this video tip of the week we use eReaxFF to simulate the dynamics of explicit Li ion reduction at a graphene surface. These state-of-the-art simulations bring us a step closer to modeling an entire...

Fast and accurate Li intercalation potentials in layered cathodes with machine learning potentials (video tip of the week)

In this video tip of the week, Ole demonstrates how the machine learning potential M3GNET can be used to screen layered cathode materials for their Li intercalation potentials, fast and accurate. The input files for...