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Supervised Pretraining for Molecular Force Fields and Properties
  Prediction

Supervised Pretraining for Molecular Force Fields and Properties Prediction

23 November 2022
Yantao Du
Weihao Gao
Wen Xiao
Zhirui Wang
Chong Wang
Liang Xiang
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Supervised Pretraining for Molecular Force Fields and Properties Prediction"

6 / 6 papers shown
Title
UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
Ziyang Yu
Wenbing Huang
Yang Liu
AI4CE
194
1
0
20 May 2025
Transfer Learning for Molecular Property Predictions from Small Data
  Sets
Transfer Learning for Molecular Property Predictions from Small Data Sets
Thorren Kirschbaum
A. Bande
AI4CE
101
4
0
20 Apr 2024
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular
  Property Prediction: A Systematic Survey
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic SurveyBig Data Mining and Analytics (BDMA), 2024
Taojie Kuang
Pengfei Liu
Zhixiang Ren
AI4CE
216
11
0
11 Feb 2024
May the Force be with You: Unified Force-Centric Pre-Training for 3D
  Molecular Conformations
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular ConformationsNeural Information Processing Systems (NeurIPS), 2023
Rui Feng
Qi Zhu
Huan Tran
Binghong Chen
Aubrey Toland
R. Ramprasad
Chao Zhang
AI4CE
131
12
0
24 Aug 2023
Transfer learning for chemically accurate interatomic neural network
  potentials
Transfer learning for chemically accurate interatomic neural network potentialsPhysical Chemistry, Chemical Physics - PCCP (PCCP), 2022
Viktor Zaverkin
David Holzmüller
Luca Bonfirraro
Johannes Kastner
253
34
0
07 Dec 2022
Synthetic data enable experiments in atomistic machine learning
Synthetic data enable experiments in atomistic machine learningDigital Discovery (DD), 2022
John L A Gardner
Z. Beaulieu
Volker L. Deringer
188
11
0
29 Nov 2022
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