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🏛️ The cond-mat.mtrl-sci Crypt
cond-mat.mtrl-sci: Where cond-mat.mtrl-sci papers rest without their code.
248
Total Papers
134
No Code
2
Twilight
112
Has Code
45.2%
Survival Rate
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Recurrent neural networks and transfer learning for elasto-plasticity in woven composites
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Genomic Materials Design: CALculation of PHAse Dynamics
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Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows
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ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data
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AI-guided inverse design and discovery of recyclable vitrimeric polymers
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Capturing long-range interaction with reciprocal space neural network
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Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models
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A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks
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AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories
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Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping
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Inference of hidden structures in complex physical systems by multi-scale clustering
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Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm
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AutoMat: Accelerated Computational Electrochemical systems Discovery
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Machine learning for structure-guided materials and process design
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Vector Field Oriented Diffusion Model for Crystal Material Generation
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Score-based denoising for atomic structure identification
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Physics-separating artificial neural networks for predicting initial stages of Al sputtering and thin film deposition in Ar plasma discharges
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Accelerating the prediction of inorganic surfaces with machine learning interatomic potentials
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A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation
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Automated, LLM enabled extraction of synthesis details for reticular materials from scientific literature
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Self-driving Multimodal Studies at User Facilities
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Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide
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