BetaCitation Atlas

RESEARCH PAPER · Journal of Computational Chemistry · 2021

Benchmark study on deep neural network potentials for small organic molecules

Read original paper ↗

See where this research leads.

8 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Benchmark study on deep neural network potentials for small organic moleculesOriginalGraph attention network for global search of atomic clusters: A case study of Agn (n = 14−26) clusters20Review of deep learning algorithms in molecular simulations and perspective applications on petroleum engineering24MolOpt: Autonomous Molecular Geometry Optimization Using Multiagent Reinforcement Learning12Risk Zoning Method of Potential Sudden Debris Flow Based on Deep Neural Network5Residual Life Prediction of Rotating Machinery Guided by Quantum Deep Neural Network1Application of adaptive artificial bee colony algorithm in environmental and economic dispatching management3Scaling Graph Neural Networks to Large Proteins6Revolutionizing pharmacology: AI-powered approaches in molecular modeling and ADMET prediction44

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Browse Matching Papers

Papers that cite this work

8 direct citing papers saved.

  1. Graph attention network for global search of atomic clusters: A case study of Agn (n = 14−26) clusters

    Frontiers of Physics · 2022-11-05

    Linwei Sai, Li Xia Fu, Qiuying Du, Jijun Zhao

    Read original paper ↗ ·
  2. Review of deep learning algorithms in molecular simulations and perspective applications on petroleum engineering

    Geoscience Frontiers · 2023-10-29

    Jie Liu, Tao Zhang, Shuyu Sun

    Read original paper ↗ ·
  3. MolOpt: Autonomous Molecular Geometry Optimization Using Multiagent Reinforcement Learning

    The Journal of Physical Chemistry B · 2023-11-28

    Rohit Modee, Sarvesh Mehta, Siddhartha Laghuvarapu, U. Deva Priyakumar

    Read original paper ↗ ·
  4. Risk Zoning Method of Potential Sudden Debris Flow Based on Deep Neural Network

    Water · 2024-02-06

    Qinglun Xiao, Shaoqi Wang, Na He, Filip Gurkalo

    Read original paper ↗ ·
  5. Residual Life Prediction of Rotating Machinery Guided by Quantum Deep Neural Network

    Scalable Computing Practice and Experience · 2024-06-16

    Ganghong Ye, Ningxuan Shi

    Read original paper ↗ ·
  6. Application of adaptive artificial bee colony algorithm in environmental and economic dispatching management

    Journal of Intelligent Systems · 2025-01-01

    Longyue Zhang, Haoyan Zhang

    Read original paper ↗ ·
  7. Scaling Graph Neural Networks to Large Proteins

    Journal of Chemical Theory and Computation · 2025-02-06

    Justin Airas, Bin Zhang

    Read original paper ↗ ·
  8. Revolutionizing pharmacology: AI-powered approaches in molecular modeling and ADMET prediction

    Medicine in Drug Discovery · 2025-08-21

    Irfan Pathan, Arif Raza, Adarsh Sahu, Mohit Joshi, Yogita Sahu, Yash Patil, Mohammad Adnan Raza, M. Ajazuddin

    Read original paper ↗ ·