ArticleJournal of chemical theory and computation2019
Semiempirical Quantum-Chemical Methods with Orthogonalization and Dispersion Corrections.
Article in Journal of chemical theory and computation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- The Newton-X platform for mixed quantum-classical dynamics.Physical chemistry chemical physics : PCCP · 2026Article
- Article
- DSKO: Dancing through DFTB Parametrization.Journal of chemical theory and computation · 2026Article
- OMNI-P2x universal neural network potential for excited-state simulations.Nature communications · 2026Article
- Recent advances in machine learning and coarse-grained potentials for biomolecular simulations.Biophysical journal · 2026Review
- Hybrid quantum/classical docking of covalent and non-covalent ligands with Attracting Cavities.Scientific reports · 2025Article
- Unidirectional molecular rotary motor with remotely switchable rotation direction.Science advances · 2025Article
- General strategy for boosting the performance of speed-tunable rotary molecular motors with visible light.Science advances · 2025Article
- Charting electronic-state manifolds across molecules with multi-state learning and gap-driven dynamics via efficient and robust active learning.npj computational materials · 2025Article
- Accelerating reliable multiscale quantum refinement of protein-drug systems enabled by machine learning.Nature communications · 2024Article
- MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows.Journal of chemical theory and computation · 2024Article
- Modern semiempirical electronic structure methods and machine learning potentials for drug discovery: Conformers, tautomers, and protonation states.The Journal of chemical physics · 2023Article
- Corrigendum: Coupled cluster theory on modern heterogeneous supercomputers.Frontiers in chemistry · 2023Article
- Coupled cluster theory on modern heterogeneous supercomputers.Frontiers in chemistry · 2023Article
- Deep learning of dynamically responsive chemical Hamiltonians with semiempirical quantum mechanics.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Providing theoretical insight into the role of symmetry in the photoisomerization mechanism of a non-symmetric dithienylethene photoswitch.Physical chemistry chemical physics : PCCP · 2022Article
- Absorption Properties of Large Complex Molecular Systems: The DFTB/Fluctuating Charge Approach.Journal of chemical theory and computation · 2022Article
- The PM6-FGC Method: Improved Corrections for Amines and Amides.Molecules (Basel, Switzerland) · 2022Article
- Artificial intelligence-enhanced quantum chemical method with broad applicability.Nature communications · 2021Article
- New Approach for Correcting Noncovalent Interactions in Semiempirical Quantum Mechanical Methods: The Importance of Multiple-Orientation Sampling.Journal of chemical theory and computation · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present two new semiempirical quantum-chemical methods with orthogonalization and dispersion corrections: ODM2 and ODM3 (ODM x). They employ the same electronic structure model as the OM2 and OM3 (OM x) methods, respectively. In addition, they include Grimme's dispersion correction D3 with Becke-Johnson damping and three-body corrections E
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.