Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction

4 May 2022

Papers citing "Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction"

7 / 7 papers shown

Title
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics Michael Moran Vladimir V. Gusev M. Gaultois Dmytro Antypov M. Rosseinsky AI4CE 25 0 0 30 Jun 2024
AlloyBERT: Alloy Property Prediction with Large Language Models Akshat Chaudhari Chakradhar Guntuboina Hongshuo Huang A. Farimani 21 4 0 28 Mar 2024
Accelerating Material Property Prediction using Generically Complete Isometry Invariants Jonathan Balasingham Viktor Zamaraev V. Kurlin 11 5 0 22 Jan 2024
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction Hongshuo Huang Rishikesh Magar Chang Xu A. Farimani AI4CE 22 4 0 30 Aug 2023
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction Zhonglin Cao Rishikesh Magar Yuyang Wang A. Farimani AI4CE 18 86 0 25 Oct 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast Yuyang Wang Rishikesh Magar Chen Liang A. Farimani 38 78 0 18 Feb 2022
Crystal Diffusion Variational Autoencoder for Periodic Material Generation Tian Xie Xiang Fu O. Ganea Regina Barzilay Tommi Jaakkola DiffM BDL 196 224 0 12 Oct 2021