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08/30/2023
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction
Recently, the remarkable capabilities of large language models (LLMs) ha...
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10/25/2022
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction
Metal-Organic Frameworks (MOFs) are materials with a high degree of poro...
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05/04/2022
Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction
Machine learning (ML) models have been widely successful in the predicti...
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02/18/2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast
Deep learning has been a prevalence in computational chemistry and widel...
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11/30/2021
AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning
Machine learning (ML) has demonstrated the promise for accurate and effi...
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10/05/2020
FaultNet: A Deep Convolutional Neural Network for bearing fault classification
The increased presence of advanced sensors on the production floors has ...
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08/27/2020
W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data
We present W-Net, a novel Convolution Neural Network (CNN) framework tha...
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03/18/2020
