Quick Summary: In this video, I give an introduction to Machine Learning Interatomic Potentials (MLIPs) and explain how the field evolved from ... James Pascaleff University of Illinois at Urbana-Champaign October 17, 2014 When a variety XX is equipped with the action of an ...

Equivariant N Centered Representations For 30200 -

In this video, I give an introduction to Machine Learning Interatomic Potentials (MLIPs) and explain how the field evolved from ... James Pascaleff University of Illinois at Urbana-Champaign October 17, 2014 When a variety XX is equipped with the action of an ... Lennard-Jones Centre discussion group seminar by Jigyasa Nigam from the Swiss Federal Institute of Technology Lausanne ...

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  • In this video, I give an introduction to Machine Learning Interatomic Potentials (MLIPs) and explain how the field evolved from ...
  • James Pascaleff University of Illinois at Urbana-Champaign October 17, 2014 When a variety XX is equipped with the action of an ...
  • Lennard-Jones Centre discussion group seminar by Jigyasa Nigam from the Swiss Federal Institute of Technology Lausanne ...
  • Speaker: Jigyasa NIGAM (EPFL, Switzerland) Young Researchers' Workshop on Machine Learning for Materials (smr 3701) ...
  • Tensor-Field Molecular Dynamics - A Highly Accurate and Data-Efficient Interatomic Potential from SE(3)-

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Equivariant N-centered representations for atomistic machine learning

Equivariant N-centered representations for atomistic machine learning

Lennard-Jones Centre discussion group seminar by Jigyasa Nigam from the Swiss Federal Institute of Technology Lausanne ...

Equivariant Representations for Machine Learning Molecular Hamiltonians

Equivariant Representations for Machine Learning Molecular Hamiltonians

Speaker: Jigyasa NIGAM (EPFL, Switzerland) Young Researchers' Workshop on Machine Learning for Materials (smr 3701) ...

Equivariant Models | Open Catalyst Intro Series | Ep. 6

Equivariant Models | Open Catalyst Intro Series | Ep. 6

Read more details and related context about Equivariant Models | Open Catalyst Intro Series | Ep. 6.

Equivariant Neural Networks | Part 1/3 - Introduction

Equivariant Neural Networks | Part 1/3 - Introduction

Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: Deep Learning for ...

The Evolution of MLIPs: From Symmetry Functions to Equivariant GNNs

The Evolution of MLIPs: From Symmetry Functions to Equivariant GNNs

In this video, I give an introduction to Machine Learning Interatomic Potentials (MLIPs) and explain how the field evolved from ...

On Equivariant Bredon Cohomologies with Mackey Functor ... -- M. Bakuradze (Tbilisi), PHK 13.05.2026

On Equivariant Bredon Cohomologies with Mackey Functor ... -- M. Bakuradze (Tbilisi), PHK 13.05.2026

Read more details and related context about On Equivariant Bredon Cohomologies with Mackey Functor ... -- M. Bakuradze (Tbilisi), PHK 13.05.2026.

Equivariant structures in mirror symmetry - James Pascaleff

Equivariant structures in mirror symmetry - James Pascaleff

James Pascaleff University of Illinois at Urbana-Champaign October 17, 2014 When a variety XX is equipped with the action of an ...

Equivariant quantum operations and relations between them - Nicholas Wilkins

Equivariant quantum operations and relations between them - Nicholas Wilkins

Read more details and related context about Equivariant quantum operations and relations between them - Nicholas Wilkins.

Molecular Dynamics with Neural Equivariant Interatomic Potentials

Molecular Dynamics with Neural Equivariant Interatomic Potentials

Tensor-Field Molecular Dynamics - A Highly Accurate and Data-Efficient Interatomic Potential from SE(3)-

International Conference on Symplectic Topology -  Equivariant and nonequivariant contact homology

International Conference on Symplectic Topology - Equivariant and nonequivariant contact homology

Read more details and related context about International Conference on Symplectic Topology - Equivariant and nonequivariant contact homology.