Faster Chemistry and Materials Discovery with AI-Powered Simulations Using NVIDIA ALCHEMI | NVIDIA Technical Blog
… Starting with 10M molecules, they calculated dipole moments for 1M molecules using the BCS NIM. …
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Designing Protein Binders Using the Generative Model Proteina-Complexa | NVIDIA Technical Blog
… Figure 2 shows the following binders generated by Proteina-Complexa: Challenging TNF-alpha three-chain protein target a , surface representation with generated binder in purple Claudin-1 protein target b in gray surface representation; zoom-in shows red interface hydrogen bonds between target and b… …
Revolutionizing AI-Driven Material Discovery Using NVIDIA ALCHEMI | NVIDIA Technical Blog
… Property prediction Molecular representation learning: Leverage learned molecular representations to predict properties of candidates in solution space. …
NVIDIA HPC Application Performance
… AMBER Molecular Dynamics Suite of programs to simulate molecular dynamics on biomolecule VERSION 24-AT 24 ACCELERATED FEATURES PMEMD Explicit Solvent and GB Implicit Solvent SCALABILITY Multi-GPU and Single Node MORE INFORMATION http://ambermd.org/GPUSupport.php Application Metric Test Modules Bigg…
Build an AI Scientist for Life Science Discovery with NVIDIA BioNeMo Agent Toolkit | NVIDIA Technical Blog
… A general‑purpose agent may understand whether protein folding, molecular docking, molecular generation, sequence design, multiple sequence alignment, protein backbone generation, or genome modeling is relevant to a task. …
NVIDIA cuEST for Quantum Chemistry
… Molecules are systematic globular cutouts of benzene crystal. …
Accelerating AI-Powered Chemistry and Materials Science Simulations with NVIDIA ALCHEMI Toolkit-Ops | NVIDIA Technical Blog
… Capabilities Both O N cell list and O N² naive algorithms with batched processing Periodic boundary support for triclinic cells with arbitrary cell dimensions and partial periodicity Supports end-to-end compute graph compilation Direct API compatibility with PyTorch API example import torch from nv… …
Scaling Biomolecular Modeling Using Context Parallelism in NVIDIA BioNeMo | NVIDIA Technical Blog
… This post explains how to achieve CP in biomolecular architectures that diverge from standard Transformers. If you’re a structural biologist, computational chemist, or machine learning engineer seeking to model massive biomolecular complexes without sacrificing global context, read on. …
Building Custom Atomistic Simulation Workflows for Chemistry and Materials Science with NVIDIA ALCHEMI Toolkit | NVIDIA Technical Blog
… This release includes capabilities for geometry relaxation and molecular dynamics, and the supporting pipeline infrastructure for combining multiple simulation workflows. …