Evidence map›Paper›PMID 34036421›Full record

ArticleJournal of molecular modeling2021

Molecular theory considering nuclear potential wells.

Dariush Habibollah Zadeh

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Building a new reasonable molecular theoryJournal of molecular modeling · 2024
    Article
  2. Building a new reasonable atomic theory.Journal of molecular modeling · 2023
    Article
  3. Atomic excited states and the related energy levels.Journal of molecular modeling · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Dariush Habibollah ZadehSUNY Erie, PO Box 94, Clarence Center, NY, USA. dzadeh2010@gmail.com.ORCID http://orcid.org/0000-0002-9874-5451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article introduces potential wells around nuclei and their roles in chemical bonds. The approach uses one-electron Bohr atomic model concept. Multi-electron atoms are converted to one-electron atoms by grounding all inactive, non-reacting electrons using the Apparent Nuclear Charge (ANC) and Electron Shielding Effect (ESE) concepts introduced in earlier publications. Then, the resulting two one-electron atoms and their potential wells are utilized to obtain the related chemical bond length. The methodology is applicable to all elements of periodic table without a need for any additional tool. To test the concept, calculated bond lengths were compared to experimental ones for about 90 different bonds, which showed an average error of less than 5%. The article discusses some nontraditional views for chemical bonds which may contradict the traditional beliefs in chemistry. Hopefully, readers would consider the calculated results in support of the presented views. Attached to this article is a computer software program which was prepared with sample input and output files for readers. The software can be utilized to obtain any interested bond length. The software is applicable to all elements in the periodic table up to the element Hassium with the atomic number of 108. Nuclear potential well associated with the electron of hydrogen atom.

Indexed as

Atomic shell structureBohr atomic modelBond lengthsChemical bondsDe Broglie’s conceptDepth of potential wellsIonization energyLocation of potential wellsMolecular structureMolecular theoryNuclear potential wellsSchrödinger molecular theory

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.