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

Ostwald’s Dilution Law01:25

Ostwald’s Dilution Law

14
Consider a binary electrolyte AB with a concentration ‘c’ that reversibly dissociates into its constituent ions. The degree of this dissociation is represented by ⍺. This means that the equilibrium concentration of each ionic species can be expressed as ⍺c. As well as this, the fraction of the electrolyte that remains undissociated at equilibrium is given by (1−⍺). The corresponding equilibrium concentration for this undissociated portion is then calculated...
14
Differential Form of Maxwell's Equations01:17

Differential Form of Maxwell's Equations

1.3K
James Clerk Maxwell (1831–1879) was one of the significant contributors to physics in the nineteenth century. He is probably best known for having combined existing knowledge of the laws of electricity and the laws of magnetism with his insights to form a complete overarching electromagnetic theory, represented by Maxwell's equations. The four basic laws of electricity and magnetism were discovered experimentally through the work of physicists such as Oersted, Coulomb, Gauss, and...
1.3K
Second Derivatives and Laplace Operator01:22

Second Derivatives and Laplace Operator

2.7K
The first order operators using the del operator include the gradient, divergence and curl. Certain combinations of first order operators on a scalar or vector function yield second order expressions. Second-order expressions play a very important role in mathematics and physics. Some second order expressions include the divergence and curl of a gradient function, the divergence and curl of a curl function, and the gradient of a divergence function.
Consider a scalar function. The curl of its...
2.7K
Scaling01:26

Scaling

623
In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
623
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

375
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
375
Second Order systems II01:18

Second Order systems II

442
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
442

You might also read

Related Articles

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

Sort by
Same author

Scalable Correlated Local Approaches for Computing Valence and Core-Level Ionization Energies in Large Molecules.

Journal of chemical theory and computation·2026
Same author

Accurate density functional theory for noncovalent interactions in charged systems.

Science advances·2026
Same author

Development of Local Natural Orbital Arbitrary Order Coupled Cluster Methods and Assessment through Connected Quadruples.

The journal of physical chemistry. A·2026
Same author

Systematically Improvable and Locality Accelerated Enzymatic Reactivity Modeling: Toward Chemical Accuracy at Affordable Cost.

Journal of chemical theory and computation·2026
Same author

Accurate Core-Level Ionization Energies from an Affordable Second-Order Approach.

Journal of chemical theory and computation·2026
Same author

Improved molecular conductance predictions using wavefunction-in-DFT quantum embedding.

The Journal of chemical physics·2026
Same journal

Knowledge Distillation of a Protein Language Model Yields a Foundational Implicit Solvent Model.

Journal of chemical theory and computation·2026
Same journal

Generalizable Protein Folding Pathway Exploration with DA2-GRASP: Extending Beyond Miniproteins.

Journal of chemical theory and computation·2026
Same journal

Improving PCM in Protic Media: Markov State Models for TD-DFT Calculations.

Journal of chemical theory and computation·2026
Same journal

Efficient Coupled-Cluster Python Frameworks for Next-Generation GPUs: A Comparative Study of CuPy and PyTorch on the Hopper and Grace Hopper Architecture.

Journal of chemical theory and computation·2026
Same journal

Extending the MARTINI 3 Coarse-Grained Force Field to Polypeptoids.

Journal of chemical theory and computation·2026
Same journal

Statistical Mechanics of Density- and Temperature-Dependent Potentials: Application to Condensed Phases within GenDPDE.

Journal of chemical theory and computation·2026
See all related articles

Related Experiment Video

Updated: Mar 4, 2026

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

8.8K

A Linear-Scaling Integral-Direct Explicitly Correlated Second-Order Møller-Plesset Approach.

Mihály Kállay1,2,3, Péter R Nagy1,2,3, Bence Ladóczki1,2,3

  • 1Department of Physical Chemistry and Materials Science, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3, Budapest H-1111, Hungary.

Journal of Chemical Theory and Computation
|March 3, 2026
PubMed
Summary
This summary is machine-generated.

We developed a new computational method for accurately calculating molecular interactions. This approach significantly speeds up calculations for large systems, like proteins, making complex chemistry more accessible.

More Related Videos

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

9.1K
Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
09:16

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Published on: January 9, 2017

14.9K

Related Experiment Videos

Last Updated: Mar 4, 2026

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

8.8K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

9.1K
Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
09:16

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Published on: January 9, 2017

14.9K

Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Method Development

Background:

  • Accurate calculation of electron correlation is crucial for predicting molecular properties.
  • Explicitly correlated methods, like MP2-F12, offer high accuracy but are computationally expensive.
  • Previous local MP2 methods have limitations in accuracy and scalability.

Purpose of the Study:

  • To develop a linear-scaling, iteration-free, local explicitly correlated second-order Møller-Plesset (MP2-F12) approach.
  • To enable accurate and efficient calculations for large molecular systems.
  • To extend previous local MP2 methods with enhanced accuracy and reduced computational cost.

Main Methods:

  • Integral-direct, iteration-free, linear-scaling local MP2-F12 approach.
  • Domain-based computation of electron pair correlation contributions.
  • Multipole expansions for spatially distant electron pairs.
  • Implementation of the 2B MP2-F12 ansatz for improved basis set convergence.

Main Results:

  • Recovered at least 99.9% of the canonical MP2-F12 correlation energy.
  • Achieved reaction energies with a mean error of less than 1 kJ/mol.
  • Demonstrated excellent basis set convergence with double-ζ basis sets.
  • Successfully computed correlation energy for a 644-atom protein, the largest system in explicitly correlated calculations.

Conclusions:

  • The new local MP2-F12 approach offers a balance of high accuracy and computational efficiency.
  • This method significantly reduces memory requirements and disk I/O.
  • Enables the study of large, complex molecular systems previously inaccessible to explicitly correlated methods.