ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.01893
  4. Cited By
Crystal Twins: Self-supervised Learning for Crystalline Material
  Property Prediction

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

4 May 2022
Rishikesh Magar
Yuyang Wang
Amir Barati Farimani
ArXivPDFHTML

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

12 / 12 papers shown
Title
MoMa: A Modular Deep Learning Framework for Material Property Prediction
MoMa: A Modular Deep Learning Framework for Material Property Prediction
Botian Wang
Y. Ouyang
Yaohui Li
Yixuan Wang
Haorui Cui
Jianbing Zhang
Xiaonan Wang
Wei-Ying Ma
Hao Zhou
49
0
0
21 Feb 2025
Establishing Deep InfoMax as an effective self-supervised learning
  methodology in materials informatics
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
27
0
0
30 Jun 2024
AlloyBERT: Alloy Property Prediction with Large Language Models
AlloyBERT: Alloy Property Prediction with Large Language Models
Akshat Chaudhari
Chakradhar Guntuboina
Hongshuo Huang
A. Farimani
37
4
0
28 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
34
20
0
01 Mar 2024
Accelerating Material Property Prediction using Generically Complete
  Isometry Invariants
Accelerating Material Property Prediction using Generically Complete Isometry Invariants
Jonathan Balasingham
Viktor Zamaraev
V. Kurlin
14
5
0
22 Jan 2024
Materials Informatics Transformer: A Language Model for Interpretable
  Materials Properties Prediction
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction
Hongshuo Huang
Rishikesh Magar
Chang Xu
A. Farimani
AI4CE
38
4
0
30 Aug 2023
Denoise Pretraining on Nonequilibrium Molecules for Accurate and
  Transferable Neural Potentials
Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials
Yuyang Wang
Chang Xu
Zijie Li
A. Farimani
AAML
AI4CE
24
21
0
03 Mar 2023
Capturing long-range interaction with reciprocal space neural network
Capturing long-range interaction with reciprocal space neural network
Hongyu Yu
Liangliang Hong
Shiyou Chen
X. Gong
Hongjun Xiang
29
11
0
30 Nov 2022
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework
  Property Prediction
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction
Zhonglin Cao
Rishikesh Magar
Yuyang Wang
A. Farimani
AI4CE
23
88
0
25 Oct 2022
TransPolymer: a Transformer-based language model for polymer property
  predictions
TransPolymer: a Transformer-based language model for polymer property predictions
Changwen Xu
Yuyang Wang
A. Farimani
24
86
0
03 Sep 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation
  and Decomposed Fragment Contrast
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast
Yuyang Wang
Rishikesh Magar
Chen Liang
A. Farimani
43
78
0
18 Feb 2022
Crystal Diffusion Variational Autoencoder for Periodic Material
  Generation
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie
Xiang Fu
O. Ganea
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
212
232
0
12 Oct 2021
1