MOFormer: Self-Supervised Transformer model for Metal-Organic Framework
Property Prediction

MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction

25 October 2022

Rishikesh Magar

Papers citing "MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction"

19 / 19 papers shown

Title
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery Yoel Zimmermann Adib Bazgir Alexander H Al-Feghali Mehrad Ansari L. C. Brinson ... Shang Zhu Jan Janssen Calvin Li Ian T. Foster B. Blaiszik 31 0 0 05 May 2025
Symmetry-Informed Graph Neural Networks for Carbon Dioxide Isotherm and Adsorption Prediction in Aluminum-Substituted Zeolites M. Petković José-Manuel Vicent Luna El\=ıza Beate Dinne Vlado Menkovski Sofía Calero AI4CE 30 0 0 26 Mar 2025
PolyCL: Contrastive Learning for Polymer Representation Learning via Explicit and Implicit Augmentations Jiajun Zhou Yijie Yang Austin M. Mroz Kim E. Jelfs SSL 14 1 0 14 Aug 2024
MatText: Do Language Models Need More than Text & Scale for Materials Modeling? Nawaf Alampara Santiago Miret K. Jablonka 35 8 0 25 Jun 2024
Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks Seunghee Han Byeong Gwan Lee Dae Woon Lim Jihan Kim AI4CE 19 2 0 18 Jun 2024
Strategies for Pretraining Neural Operators Anthony Y. Zhou Cooper Lorsung AmirPouya Hemmasian Amir Barati Farimani AI4CE 23 4 0 12 Jun 2024
AlloyBERT: Alloy Property Prediction with Large Language Models Akshat Chaudhari Chakradhar Guntuboina Hongshuo Huang A. Farimani 14 4 0 28 Mar 2024
Pretraining Strategy for Neural Potentials Zehua Zhang Zijie Li A. Farimani AI4CE 29 0 0 24 Feb 2024
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision Nathaniel Hudson J. G. Pauloski Matt Baughman Alok V. Kamatar Mansi Sakarvadia ... Owen Price Skelly B. Blaiszik Rick L. Stevens Kyle Chard Ian T. Foster MedIm 8 8 0 05 Feb 2024
Accelerating Material Property Prediction using Generically Complete Isometry Invariants Jonathan Balasingham Viktor Zamaraev V. Kurlin 6 5 0 22 Jan 2024
An Interdisciplinary Outlook on Large Language Models for Scientific Research James Boyko Joseph Cohen Nathan Fox Maria Han Veiga Jennifer I-Hsiu Li ... Andreas H. Rauch Kenneth N. Reid Soumi Tribedi Anastasia Visheratina Xin Xie 26 17 0 03 Nov 2023
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction Nima Shoghi Adeesh Kolluru John R. Kitchin Zachary W. Ulissi C. L. Zitnick Brandon M. Wood AI4CE 14 30 0 25 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training Kazem Meidani Parshin Shojaee Chandan K. Reddy A. Farimani 13 18 0 03 Oct 2023
GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction Suryanarayanan Balaji Rishikesh Magar Yayati Jadhav and Amir Barati Farimani 11 13 0 20 Sep 2023
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction Hongshuo Huang Rishikesh Magar Chang Xu A. Farimani AI4CE 17 4 0 30 Aug 2023
Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials Yuyang Wang Chang Xu Zijie Li A. Farimani AAML AI4CE 6 20 0 03 Mar 2023
TransPolymer: a Transformer-based language model for polymer property predictions Changwen Xu Yuyang Wang A. Farimani 11 83 0 03 Sep 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast Yuyang Wang Rishikesh Magar Chen Liang A. Farimani 32 78 0 18 Feb 2022
Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks P. Schwaller Daniel Probst Alain C. Vaucher Vishnu H. Nair D. Kreutter Teodoro Laino J. Reymond 125 220 0 09 Dec 2020