SOTAVerified

Computational chemistry

Papers

Showing 125 of 122 papers

TitleStatusHype
Spherical Channels for Modeling Atomic InteractionsCode4
Modeling Molecular Structures with Intrinsic Diffusion ModelsCode3
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force FieldsCode3
The dark side of the forces: assessing non-conservative force models for atomistic machine learningCode2
DeepMol: An Automated Machine and Deep Learning Framework for Computational ChemistrCode2
Chemformer: a pre-trained transformer for computational chemistryCode2
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical FeedbackCode2
ChemCrow: Augmenting large-language models with chemistry toolsCode2
Torsional Diffusion for Molecular Conformer GenerationCode2
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer SearchCode1
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment ContrastCode1
Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy HessiansCode1
Learning Gradient Fields for Molecular Conformation GenerationCode1
Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property PredictionCode1
Can Graph Neural Networks Count Substructures?Code1
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst DesignCode1
Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive SparsityCode1
Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted CholeskyCode1
Model free variable importance for high dimensional dataCode1
Molecular relaxation by reverse diffusion with time step predictionCode1
Efficient Conformal Prediction via Cascaded Inference with Expanded AdmissionCode1
End-to-End Differentiable Molecular Mechanics Force Field ConstructionCode1
MLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflowsCode1
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline MaterialsCode1
Integrating convolutional layers and biformer network with forward-forward and backpropagation trainingCode0
Show:102550
← PrevPage 1 of 5Next →

No leaderboard results yet.