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PubChemQC B3LYP/6-31G*//PM6 dataset: the Electronic Structures of 86
  Million Molecules using B3LYP/6-31G* calculations

PubChemQC B3LYP/6-31G*//PM6 dataset: the Electronic Structures of 86 Million Molecules using B3LYP/6-31G* calculations

29 May 2023
Maho Nakata
Toshiyuki Maeda
ArXivPDFHTML

Papers citing "PubChemQC B3LYP/6-31G*//PM6 dataset: the Electronic Structures of 86 Million Molecules using B3LYP/6-31G* calculations"

9 / 9 papers shown
Title
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Yunyang Li
Zaishuo Xia
Lin Huang
Xinran Wei
Han Yang
...
Zun Wang
Chang-Shu Liu
Jia Zhang
Bin Shao
Mark B. Gerstein
68
0
0
26 Feb 2025
Implicit Delta Learning of High Fidelity Neural Network Potentials
Implicit Delta Learning of High Fidelity Neural Network Potentials
Stephan Thaler
Cristian Gabellini
Nikhil Shenoy
Prudencio Tossou
AI4CE
73
0
0
08 Dec 2024
OpenQDC: Open Quantum Data Commons
OpenQDC: Open Quantum Data Commons
Cristian Gabellini
Nikhil Shenoy
Stephan Thaler
Semih Cantürk
Daniel McNeela
Dominique Beaini
Michael Bronstein
Prudencio Tossou
AI4CE
70
1
0
29 Nov 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task
  Learning
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
Yuxuan Ren
Dihan Zheng
Chang-Shu Liu
Peiran Jin
Yu Shi
Lin Huang
Jiyan He
Shengjie Luo
Tao Qin
Tie-Yan Liu
AI4CE
30
1
0
14 Oct 2024
NEBULA: Neural Empirical Bayes Under Latent Representations for
  Efficient and Controllable Design of Molecular Libraries
NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries
E. Nowara
Pedro H. O. Pinheiro
Sai Pooja Mahajan
Omar Mahmood
Andrew Watkins
Saeed Saremi
Michael R. Maser
BDL
DiffM
29
2
0
03 Jul 2024
Gradual Optimization Learning for Conformational Energy Minimization
Gradual Optimization Learning for Conformational Energy Minimization
Artem Tsypin
L. Ugadiarov
Kuzma Khrabrov
Alexander Telepov
Egor Rumiantsev
Alexey Skrynnik
Aleksandr I. Panov
Dmitry Vetrov
E. Tutubalina
Artur Kadurin
19
1
0
05 Nov 2023
Role of Structural and Conformational Diversity for Machine Learning
  Potentials
Role of Structural and Conformational Diversity for Machine Learning Potentials
Nikhil Shenoy
Prudencio Tossou
Emmanuel Noutahi
Hadrien Mary
Dominique Beaini
Jiarui Ding
AI4CE
17
0
0
30 Oct 2023
Inverse design of 3d molecular structures with conditional generative
  neural networks
Inverse design of 3d molecular structures with conditional generative neural networks
Niklas W. A. Gebauer
M. Gastegger
Stefaan S. P. Hessmann
Klaus-Robert Muller
Kristof T. Schütt
AI4CE
184
162
0
10 Sep 2021
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
159
1,766
0
02 Mar 2017
1