repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 22d ago
janosh/matbench-discovery
An evaluation framework for machine learning models simulating high-throughput materials discovery.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 61%Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark →
- PossiblePossibly related (embedding) · 51%Lattice Labs →
- PossiblePossibly related (embedding) · 49%Grounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics →
- PossiblePossibly related (embedding) · 48%Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials →
- PossiblePossibly related (embedding) · 46%Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination →
- PossiblePossibly related (embedding) · 52%Guiding generative models to uncover diverse and novel crystals via reinforcement learning →
- PossiblePossibly related (embedding) · 46%How Machine Learning Helps Geologists Discover Hidden Ore Deposits - AZoMining →
- PossiblePossibly related (embedding) · 45%Machine learning to predict how fast biodegradable plastics break down in nature - Phys.org →
Implements
paperBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) BenchmarkpaperGrounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physicspaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperGraph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination
Related to
Covers (incoming)
newsGuiding generative models to uncover diverse and novel crystals via reinforcement learningnewsHow Machine Learning Helps Geologists Discover Hidden Ore Deposits - AZoMiningnewsMachine learning to predict how fast biodegradable plastics break down in nature - Phys.orgnewsJMIR report: machine learning accelerates radiopharmaceutical drug discovery, optimizes personalized dosimetry - EurekAlert!newsWith Machine Learning, LLNL Researchers Embrace the Atomic-Scale Complexity of Batteries | Newswise - NewswisenewsAdvancing next-gen AI with materials science innovationnewsMachine Learning Accelerates Search for Longer-Lasting Materials for Solar Cells - UC Davis College of EngineeringnewsAccelerating sustainable glass discovery: integrating molecular dynamics, machine learning, and robotic synthesis - Nature
Implements (incoming)
Related across the graph
paperBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) BenchmarknewsWith Machine Learning, LLNL Researchers Embrace the Atomic-Scale Complexity of Batteries | Newswise - NewswisenewsGuiding generative models to uncover diverse and novel crystals via reinforcement learningnewsJMIR report: machine learning accelerates radiopharmaceutical drug discovery, optimizes personalized dosimetry - EurekAlert!newsAdvancing next-gen AI with materials science innovationpaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperActive rejection enables reliable generalization of universal machine-learning interatomic potentialscompanyLattice LabspaperGrounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physicsnewsMachine Learning Accelerates Search for Longer-Lasting Materials for Solar Cells - UC Davis College of EngineeringpaperCatRetriever: Contrastive Representation Learning for Slab-to-Bulk Retrieval in Generative Catalyst DiscoverynewsMachine learning to predict how fast biodegradable plastics break down in nature - Phys.orgpaperGraph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual RecombinationnewsHow Machine Learning Helps Geologists Discover Hidden Ore Deposits - AZoMiningnewsAccelerating sustainable glass discovery: integrating molecular dynamics, machine learning, and robotic synthesis - Nature