🏛️ The cond-mat.mtrl-sci Crypt
cond-mat.mtrl-sci: Where cond-mat.mtrl-sci papers rest without their code.
213
Total Papers
137
No Code
1
Twilight
75
Has Code
35.2%
Survival Rate
R.I.P.
👻
Ghosted
R.I.P.
👻
Ghosted
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design
R.I.P.
👻
Ghosted
Deep learning and the Schrödinger equation
R.I.P.
👻
Ghosted
MatterGen: a generative model for inorganic materials design
R.I.P.
👻
Ghosted
Polymer Informatics with Multi-Task Learning
R.I.P.
👻
Ghosted
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks
R.I.P.
👻
Ghosted
AdsorbML: A Leap in Efficiency for Adsorption Energy Calculations using Generalizable Machine Learning Potentials
R.I.P.
👻
Ghosted
Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks
R.I.P.
👻
Ghosted
Computational discovery of new 2D materials using deep learning generative models
R.I.P.
👻
Ghosted
AI-accelerated Discovery of Altermagnetic Materials
R.I.P.
👻
Ghosted
Interpretable models for extrapolation in scientific machine learning
R.I.P.
👻
Ghosted
Graph Convolutional Neural Networks for Polymers Property Prediction
R.I.P.
👻
Ghosted
Modelling the Nonlinear Response of Fibre-reinforced Bending Fluidic Actuators
R.I.P.
💀
404 Not Found
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study
R.I.P.
👻
Ghosted
Accelerating CALPHAD-based Phase Diagram Predictions in Complex Alloys Using Universal Machine Learning Potentials: Opportunities and Challenges
R.I.P.
👻
Ghosted
Equivariant Networks for Crystal Structures
R.I.P.
👻
Ghosted
AI-driven inverse design of materials: Past, present and future
R.I.P.
👻
Ghosted
Exploring Supervised Machine Learning for Multi-Phase Identification and Quantification from Powder X-Ray Diffraction Spectra
R.I.P.
👻
Ghosted
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions
R.I.P.
👻
Ghosted
Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks
R.I.P.
👻
Ghosted
Machine-learned metrics for predicting the likelihood of success in materials discovery
R.I.P.
👻
Ghosted
A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials
R.I.P.
👻
Ghosted
Accelerating Process Development for 3D Printing of New Metal Alloys
R.I.P.
👻
Ghosted