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TransPolymer: a Transformer-based language model for polymer property
  predictions

TransPolymer: a Transformer-based language model for polymer property predictions

3 September 2022
Changwen Xu
Yuyang Wang
A. Farimani
ArXivPDFHTML

Papers citing "TransPolymer: a Transformer-based language model for polymer property predictions"

23 / 23 papers shown
Title
Multi-modal cascade feature transfer for polymer property prediction
Multi-modal cascade feature transfer for polymer property prediction
Kiichi Obuchi
Yuta Yahagi
Kiyohiko Toyama
Shukichi Tanaka
Kota Matsui
47
0
0
06 May 2025
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models
Fanmeng Wang
Wentao Guo
Qi Ou
Hongshuai Wang
Haitao Lin
Hongteng Xu
Zhifeng Gao
AI4CE
30
1
0
11 Apr 2025
Multimodal machine learning with large language embedding model for polymer property prediction
Multimodal machine learning with large language embedding model for polymer property prediction
Tianren Zhang
Dai-Bei Yang
44
0
0
29 Mar 2025
Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens
Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens
Shuqi Lu
Haowei Lin
Lin Yao
Zhifeng Gao
Xiaohong Ji
W. Elwasif
Linfeng Zhang
Guolin Ke
48
0
0
20 Mar 2025
High-entropy Advantage in Neural Networks' Generalizability
High-entropy Advantage in Neural Networks' Generalizability
Entao Yang
X. Zhang
Yue Shang
Ge Zhang
AI4CE
63
0
0
17 Mar 2025
Molecular topological deep learning for polymer property prediction
Molecular topological deep learning for polymer property prediction
Cong Shen
Yipeng Zhang
Fei Han
Kelin Xia
AI4CE
33
0
0
07 Oct 2024
Reinforcement Feature Transformation for Polymer Property Performance
  Prediction
Reinforcement Feature Transformation for Polymer Property Performance Prediction
Xuanming Hu
Dongjie Wang
Wangyang Ying
Yanjie Fu
32
6
0
23 Sep 2024
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models
Alexius Wadell
Anoushka Bhutani
Venkatasubramanian Viswanathan
127
0
0
19 Sep 2024
Leveraging Chemistry Foundation Models to Facilitate Structure Focused
  Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and
  Materials Design
Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials Design
Nathaniel H. Park
Tiffany J. Callahan
James L. Hedrick
Tim Erdmann
Sara Capponi
AI4CE
33
1
0
21 Aug 2024
PolyCL: Contrastive Learning for Polymer Representation Learning via
  Explicit and Implicit Augmentations
PolyCL: Contrastive Learning for Polymer Representation Learning via Explicit and Implicit Augmentations
Jiajun Zhou
Yijie Yang
Austin M. Mroz
Kim E. Jelfs
SSL
25
1
0
14 Aug 2024
MolTRES: Improving Chemical Language Representation Learning for
  Molecular Property Prediction
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
Jun-Hyung Park
Yeachan Kim
Mingyu Lee
Hyuntae Park
SangKeun Lee
35
0
0
09 Jul 2024
Large language models, physics-based modeling, experimental
  measurements: the trinity of data-scarce learning of polymer properties
Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties
Ning Liu
S. Jafarzadeh
B. Lattimer
Shuna Ni
Jim Lua
Yue Yu
AI4CE
45
1
0
03 Jul 2024
A Comprehensive Survey of Scientific Large Language Models and Their
  Applications in Scientific Discovery
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Yu Zhang
Xiusi Chen
Bowen Jin
Sheng Wang
Shuiwang Ji
Wei Wang
Jiawei Han
44
27
0
16 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
34
4
0
28 Mar 2024
Transferring a molecular foundation model for polymer property
  predictions
Transferring a molecular foundation model for polymer property predictions
Pei Zhang
Logan T. Kearney
D. Bhowmik
Zachary R. Fox
Amit K. Naskar
John P. Gounley
AI4CE
28
7
0
25 Oct 2023
GPT-MolBERTa: GPT Molecular Features Language Model for molecular
  property prediction
GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction
Suryanarayanan Balaji
Rishikesh Magar
Yayati Jadhav
and Amir Barati Farimani
13
13
0
20 Sep 2023
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
35
4
0
30 Aug 2023
Bayesian Optimization of Catalysis With In-Context Learning
Bayesian Optimization of Catalysis With In-Context Learning
M. C. Ramos
Shane S. Michtavy
Marc D. Porosoff
Andrew D. White
BDL
44
30
0
11 Apr 2023
Bidirectional Generation of Structure and Properties Through a Single
  Molecular Foundation Model
Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model
Jinho Chang
Jong Chul Ye
AI4CE
22
29
0
19 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
Predicting CO$_2$ Absorption in Ionic Liquids with Molecular Descriptors
  and Explainable Graph Neural Networks
Predicting CO2_22​ Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks
Yue-Cheng Jian
Yuyang Wang
A. Farimani
24
4
0
29 Sep 2022
polyBERT: A chemical language model to enable fully machine-driven
  ultrafast polymer informatics
polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics
Christopher Kuenneth
R. Ramprasad
26
101
0
29 Sep 2022
Keeping it Simple: Language Models can learn Complex Molecular
  Distributions
Keeping it Simple: Language Models can learn Complex Molecular Distributions
Daniel Flam-Shepherd
Kevin Zhu
A. Aspuru‐Guzik
131
142
0
06 Dec 2021
1