[EMNLP '25] A web app and Python API for multi-modal RAG framework to ground LLMs on high-fidelity materials informatics. An agentic materials scientist powered by @materialsproject, @langchain-ai, and @openai https://aclanthology.org/2025.emnlp-main.1280/
☆100Nov 11, 2025Updated last year
Alternatives and similar repositories for llamp
Users that are interested in llamp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim☆90Jul 14, 2025Updated last year
- ⚛ download and manipulate atomistic datasets☆49Nov 25, 2025Updated 11 months ago
- 🌟 [NeurIPS '25 Spotlight] Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond basic error metrics …☆109Jul 2, 2026Updated 4 months ago
- Benchmarking foundation Machine Learning Potentials with Lattice Thermal Conductivity from Anharmonic Phonons☆16Oct 30, 2024Updated 2 years ago
- Data Science for Materials - Collection of Open Educational Resources☆17Jun 18, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆104May 10, 2025Updated last year
- Phonons from ML force fields☆24Mar 22, 2026Updated 7 months ago
- Adds Orb Model functionality to LAMMPS via Python wrapping☆15Apr 1, 2025Updated last year
- ☆55Jul 1, 2026Updated 4 months ago
- ☆28Aug 20, 2025Updated last year
- Heat-conductivity benchmark test for foundational machine-learning potentials☆31Jun 28, 2026Updated 4 months ago
- Crystal structure inpainting☆14Aug 10, 2026Updated 3 months ago
- A public repository collecting links to state of the art QA and evaluation sets for various ML and LLM applications☆106Jul 16, 2024Updated 2 years ago
- Foundation Model for Materials - FM4M☆322Sep 17, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An evaluation framework for machine learning models simulating high-throughput materials discovery.☆259Updated this week
- This is a repository containing an advanced tutorial for jobflow (https://github.com/materialsproject/jobflow) related to computational …☆18Jun 5, 2023Updated 3 years ago
- Code for Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models☆13Feb 19, 2025Updated last year
- A RL framework for Crystal Structure Generation using GRPO☆74May 14, 2026Updated 5 months ago
- ☆12Sep 21, 2026Updated last month
- Tools for machine learnt interatomic potentials☆52Oct 30, 2026Updated last week
- 2025 LLM Hackathon for Applications in Materials and Chemistry☆28Sep 15, 2025Updated last year
- Computing representations for atomistic machine learning☆83Oct 1, 2026Updated last month
- ML benchmarking and pipeling framework☆15Oct 28, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A python library for calculating materials properties from the PES☆157Updated this week
- SLMat: ServerLess Materials Design Toolkit, Preprint: https://doi.org/10.26434/chemrxiv-2024-fqq27☆21Feb 4, 2026Updated 9 months ago
- Implements core functions for AiiDAlab.☆17Nov 5, 2026Updated last week
- Evaluation of universal machine learning force-fields https://doi.org/10.1021/acsmaterialslett.5c00093☆14Jul 8, 2025Updated last year
- This repository contains neccessary code to train AnisoNet, an equivariant graph neural network for predicting dielectric tensors of crys…☆14Feb 20, 2026Updated 8 months ago
- A text-guided diffusion model for crystal structure generation☆82May 30, 2025Updated last year
- AiiDA tutorials web site☆25Oct 2, 2025Updated last year
- ORB forcefield models from Orbital Materials☆626Updated this week
- Uncertainty quantification (UQ) for Machine-Learning Interatomic Potentials (MLIPs)☆32Sep 21, 2026Updated last month
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- quacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.☆303Updated this week
- Tutorial files to work with ML for the charge density in molecules and solids☆12Feb 22, 2023Updated 3 years ago
- Code for automated fitting of machine learned interatomic potentials.☆165Updated this week
- atomate2 is a library of computational materials science workflows☆360Updated this week
- QUASAR is an autonomous system for end-to-end scientific discovery, integrating LLMs with simulation tools to automate workflows across q…☆21May 26, 2026Updated 5 months ago
- Microcourses hosted by the Acceleration Consortium for self-driving lab topics.☆39Oct 31, 2026Updated last week
- [ICML'26] Phonon fine-tuning (PFT) and [NeurIPS'25 AI4Mat] Nequix: Training a foundation model for materials on a budget☆81Apr 5, 2026Updated 7 months ago
Are these results useful?