Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cycloaddition Reactions: MO Requirements for Photochemical Activation01:12

Cycloaddition Reactions: MO Requirements for Photochemical Activation

2.0K
Some cycloaddition reactions are activated by heat, while others are initiated by light. For example, a [2 + 2] cycloaddition between two ethylene molecules occurs only in the presence of light. It is photochemically allowed but thermally forbidden.
2.0K
Arrhenius Plots02:34

Arrhenius Plots

38.7K
The Arrhenius equation relates the activation energy and the rate constant, k, for chemical reactions. In the Arrhenius equation, k = Ae−Ea/RT, R is the ideal gas constant, which has a value of 8.314 J/mol·K, T is the temperature on the kelvin scale, Ea is the activation energy in J/mole, e is the constant 2.7183, and A is a constant called the frequency factor, which is related to the frequency of collisions and the orientation of the reacting molecules.
The Arrhenius equation can be used...
38.7K
Thermal and Photochemical Electrocyclic Reactions: Overview01:26

Thermal and Photochemical Electrocyclic Reactions: Overview

2.3K
Electrocyclic reactions are reversible reactions. They involve an intramolecular cyclization or ring-opening of a conjugated polyene. Shown below are two examples of electrocyclic reactions. In the first reaction, the formation of the cyclic product is favored. In contrast, in the second reaction, ring-opening is favored due to the high ring strain associated with cyclobutene formation.
2.3K
Photochemical Electrocyclic Reactions: Stereochemistry01:26

Photochemical Electrocyclic Reactions: Stereochemistry

1.8K
The absorption of UV–visible light by conjugated systems causes the promotion of an electron from the ground state to the excited state. Consequently, photochemical electrocyclic reactions proceed via the excited-state HOMO rather than the ground-state HOMO. Since the ground- and excited-state HOMOs have different symmetries, the stereochemical outcome of electrocyclic reactions depends on the mode of activation; i.e., thermal or photochemical.
Selection Rules: Photochemical Activation
1.8K
Cycloaddition Reactions: MO Requirements for Thermal Activation01:16

Cycloaddition Reactions: MO Requirements for Thermal Activation

3.5K
Thermal cycloadditions are reactions where the source of activation energy needed to initiate the reaction is provided in the form of heat. A typical example of a thermally-allowed cycloaddition is the Diels–Alder reaction, which is a [4 + 2] cycloaddition. In contrast, a [2 + 2] cycloaddition is thermally forbidden.
3.5K
Combustion Energy: A Measure of Stability in Alkanes and Cycloalkanes02:14

Combustion Energy: A Measure of Stability in Alkanes and Cycloalkanes

6.2K
The low reactivity in alkanes can be attributed to the non-polar nature of C–C and C–H σ bonds. Alkanes, therefore, were  initially termed as “paraffins,” derived from the Latin words: parum, meaning “too little,” and affinis, meaning “affinity.”
Alkanes undergo combustion in the presence of excess oxygen and high-temperature conditions to give carbon dioxide and water. A combustion reaction is the energy source in natural gas, liquified...
6.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Redox- and Photo-Responsive Fe<sup>3+/2+</sup>-Cross-Linked Carboxymethyl Cellulose Methacrylate Dissipative Gels: Synthesis and Applications.

ACS applied materials & interfaces·2026
Same author

Solid Pro-Nano Lipid Oral Formulations for Cannabidiol (CBD).

Pharmaceutics·2026
Same author

Injectable Cisplatin-Loaded Biodegradable Poly(anhydride-ester) for Treating Head and Neck Cancer: Preclinical Studies.

ACS biomaterials science & engineering·2026
Same author

Optimized pipeline and designer cells for synthetic-biology-based high-throughput screening of viral protease inhibitors.

Cell reports methods·2025
Same author

Modeling High Energy Molecules and Screening to Find Novel High Energy Candidates.

ACS omega·2024
Same author

A Machine Learning Algorithm Suggests Repurposing Opportunities for Targeting Selected GPCRs.

International journal of molecular sciences·2024
Same journal

NMR Spectroscopy: Molecular Insights into Cell Wall Collapse and Oxidative Stress of <i>Escherichia coli</i> Induced by Imidazole-Activated Eutectic Solvents.

ACS omega·2026
Same journal

Enhanced Arsenite Remediation in Synthetic FeS<sub>2</sub>/Fe(II)-Containing Arsenic Wastewater via Epigallocatechin Gallate-Initiated Persulfate Activation.

ACS omega·2026
Same journal

Defect and Particle-Size Engineering as Mechanistic Drivers for Dye Uptake in a Zirconium Metal-Organic Framework.

ACS omega·2026
Same journal

Biogeochemical Assessment of Short-Term Hydrogen Storage in Methane Reservoirs with Field Sample Characterization and Reactor Experiments.

ACS omega·2026
Same journal

Combined Effects of Halloysite Nanotubes, Nucleating Agent, and Thermal Annealing on the Printability and Mechanical Performances of 3D-Printable Polypropylene Random Copolymer-Based Composites.

ACS omega·2026
Same journal

Effect of MoS<sub>2</sub> Interfacial Engineering across MAPbI<sub>3</sub>, FAPbI<sub>3</sub>, and CsPbI<sub>3</sub> Perovskite Solar Cells.

ACS omega·2026
See all related articles

Related Experiment Video

Updated: Jun 9, 2025

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds
11:44

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds

Published on: October 18, 2018

26.4K

Synergizing Experimentation and Computation: Predicting Energetic Potential in New Cyclo-Peroxide Compounds.

Mazal Rachamim1, Amiram Goldblum1, Abraham J Domb2

  • 1Molecular Modelling and Drug Design Lab, Institute for Drug Research and Fraunhofer Project Center for Drug Discovery and Delivery, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91905, Israel.

ACS Omega
|October 28, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed a new computational method, the Iterative Stochastic Elimination (ISE) model, to efficiently predict the potential of cyclo-peroxide compounds (CPs) as energetic materials. This approach accelerates the discovery of safer, high-energy substances.

More Related Videos

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

8.4K
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.1K

Related Experiment Videos

Last Updated: Jun 9, 2025

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds
11:44

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds

Published on: October 18, 2018

26.4K
Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

8.4K
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.1K

Area of Science:

  • Organic Chemistry
  • Computational Chemistry
  • Materials Science

Background:

  • Cyclo-peroxide compounds (CPs) are a class of molecules with potential applications as energetic materials.
  • Experimental synthesis and characterization of new CPs can be time-consuming and resource-intensive.
  • Predictive models are needed to efficiently screen and prioritize CPs for energetic properties.

Purpose of the Study:

  • To synthesize and characterize novel cyclo-peroxide compounds.
  • To develop and validate a computational model for predicting the energetic potential of CPs.
  • To compare experimental energetic properties with computational predictions.

Main Methods:

  • Synthesis of 10 new cyclo-peroxide compounds using various ketones and hydrogen peroxide concentrations.
  • Spectroscopic analysis and calorimetric tests (Differential Scanning Calorimetry - DSC) to determine experimental energetic properties (% Power Index - %PI).
  • Development and application of the Iterative Stochastic Elimination (ISE) algorithm for computational screening and scoring of CPs.

Main Results:

  • Successful synthesis and characterization of 10 new cyclo-peroxide compounds.
  • Experimental determination of %PI for the synthesized compounds.
  • Validation of the ISE model, demonstrating robust predictive capabilities and consistent correlation with experimental %PI values.
  • The ISE model proved efficient in scoring CPs for their energetic potential.

Conclusions:

  • The Iterative Stochastic Elimination (ISE) model is a reliable and efficient tool for predicting the energetic potential of cyclo-peroxide compounds.
  • Integrating computational (ISE model) and experimental methods enhances the discovery process for energetic materials.
  • The ISE model facilitates faster, cost-effective, and safer experimental investigations by focusing on promising candidates.
  • Future research is suggested for ester nitrates, further leveraging the combined computational-experimental approach.