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name Generative models
description Machine learning models for generating crystal structures, molecular structures, spectra, etc.
tags
Code/ML
Code/Lib
Code/WF

Generative models

Item (URL) Description Tags
Crystal Diffusion Variational AutoEncoder (CDVAE) Generating the periodic structure of materials. Code/ML, Code/Lib
DiffCSP Generative diffusion model for crystal structure prediction. Code/Lib, Code/ML
DiffCSP++ Generative diffusion model for crystal structure prediction with space group constraints. Code/Lib, Code/ML
CrysBFN A periodic Bayesian flow for material generation. Code/ML, Code/Lib
CrystalFormer A foundation model for crystal structure generation and prediction. Code/ML, Code/Lib
DM2 Diffusion models for disordered materials. Code/ML, Code/Lib
CrystalDiT A diffusion transformer for crystal generation. Code/ML, Code/Lib
LEGO-xtal LEGO-Cryst: local environment geometry-oriented crystal generator. Code/ML, Code/Lib
SynCry Structural modification of unsynthesizable inorganic crystal structure into synthesizable one. Code/ML, Code/Lib
PropMolFlow SE(3) equivariant flow matching for property-guided molecule generation. Code/ML, Code/Lib
MolCrystalFlow Molecular crystal structure prediction with flow matching. Code/ML, Code/Lib
DiffCrysGen A unified score-based diffusion model for accelerated design of diverse inorganic crystalline materials. Code/ML, Code/Lib
OXtal An all-atom diffusion model for molecular crystal structure prediction. Code/ML, Code/Lib
XtalPaint Crystal structure inpainting. Code/ML, Code/Lib
miad Mirage atom diffusion (MiAD) for de novo crystal generation. Code/ML, Code/Lib
CrystaLLM-pi Discovery and recovery of crystalline materials with property-conditioned transformers. Code/ML, Code/Lib
OMatG Generative framework for crystal structure prediction and de novo generation of inorganic crystals. Code/ML, Code/Lib
Matra App Online web interface for Matra, an autoregressive transformer model designed for the inverse design of inorganic crystal structures. App, Code/ML
CatDRX Reaction-conditioned generative model for catalyst design and optimization. Code/ML, Code/Lib
molSimplify Lite Online web interface for molSimplify, a tool for first-principles automated generation and screening of transition metal complexes. App, Code/ML
DiffDock Diffusion steps, twists, and turns for molecular docking. Code/ML, Code/Lib
crystalformer-csp Autoregressive transformer integrating generative modeling and physics-driven optimization for crystal structure prediction. Code/ML, Code/Lib
wyckoffdiff_adaptor Symmetry-aware conditional generation of crystal structures using diffusion models. Code/ML, Code/Lib
MEIDNet Multimodal equivariant inverse design network for property-conditioned constrained inverse design of cubic ABX3 perovskites. Code/ML, Code/Lib
zeosyn_gen Generative diffusion approach to materials synthesis planning. Code/ML, Code/Lib
MSP-LLM Large Language Model framework for complete material synthesis planning. Code/ML, Code/Lib
SynthesisSimilarity Precursor recommendation for inorganic synthesis using machine learning and materials similarity. Code/ML, Code/Lib
CycleChemist Dual-pronged predictive and generative framework for organic photovoltaic discovery. Code/ML, Code/Lib
Altermagnet-inverse-design Inverse design of altermagnetic materials using Bayesian optimization and machine learning surrogate models. Code/ML, Code/WF
MatterGen Inorganic materials design across the periodic table guided by property constraints. Code/ML, Code/Lib
mattergenbis Adaptive constraint guidance for fine-tuning-free inorganic crystal structure generation using the MatterGen model. Code/ML, Code/Lib
MagMatLLM Hybrid framework integrating Large Language Model crystal generation with genetic algorithms and data augmentation. Code/ML, Code/Lib
Perovskite-R1 Domain-specialized Large Language Model for precursor additive discovery and experimental design in perovskite solar cell research. Code/ML, Code/Lib
atomcomposer Autonomous reinforcement learning agent for first-principles 3D isomer discovery. Code/ML, Code/Lib
AMDEN-code Diffusion-model-based framework for inverse design of amorphous materials. Code/ML, Code/Lib
G-SchNet Generative neural network extension for molecular design and structure prediction. Code/ML, Code/Lib
PLaID Preference-aligned language model for targeted inorganic materials design. Code/ML, Code/Lib
ProtoCSP Discovery of solid solutions, high-entropy alloys, and complex crystals through prototype transmutation and machine learning interatomic potential validation. Code/ML, Code/Lib
alm Unified modeling of natural language and 3D atomic structures to understand, generate, and optimize materials. Code/ML, Code/Lib
xtaledit Elemental-substitution-based analysis of structural novelty in AI-generated crystals. Code/ML, Code/Lib
MolMiner Fragment-based, geometry-aware, and order-agnostic autoregressive model for molecular design. Code/ML, Code/Lib