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Related Concept Videos

The Small x Assumption02:20

The Small x Assumption

If a reaction has a small equilibrium constant, the equilibrium position favors the reactants. In such reactions, a negligible change in concentration may occur if the initial concentrations of reactants are high and the Kc value is small. In such circumstances, the equilibrium concentration is approximately equal to its initial concentration. This estimation can be used to simplify the equilibrium calculations by assuming that some equilibrium concentrations are equal to the initial...
Calculating Equilibrium Concentrations02:05

Calculating Equilibrium Concentrations

Being able to calculate equilibrium concentrations is essential to many areas of science and technology—for example, in the formulation and dosing of pharmaceutical products. After a drug is ingested or injected, it is typically involved in several chemical equilibria that affect its ultimate concentration in the body system of interest. Knowledge of the quantitative aspects of these equilibria is required to compute a dosage amount that will solicit the desired therapeutic effect.
A more...
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
Chemical Equilibria: Systematic Approach to Equilibrium Calculations01:21

Chemical Equilibria: Systematic Approach to Equilibrium Calculations

Equilibrium calculations for systems involving multiple equilibria are often complex. For example, to calculate the solubility of a sparingly soluble salt in an aqueous solution in the presence of a common ion, one must consider all the equilibria in this solution. Calculations for these systems can be complicated and tedious, so a systematic approach with a series of steps is often helpful. The process is detailed below.
The first step is to identify all the chemical reactions involved, The...
Chemistry of the Cell02:58

Chemistry of the Cell

The cell is chemically composed of water, organic molecules and inorganic ions.
Water
The polarity of the water molecule and its resulting hydrogen bonding makes water a unique substance with special properties that are intimately tied to the processes of life. Life originally evolved in an aqueous environment, and most of an organism’s cellular chemistry and metabolism occur inside the aqueous contents of the cell’s cytoplasm. Special properties of water are its high heat capacity and heat of...
Chemistry of the Cell02:58

Chemistry of the Cell

The cell is chemically composed of water, organic molecules and inorganic ions.
Water
The polarity of the water molecule and its resulting hydrogen bonding makes water a unique substance with special properties that are intimately tied to the processes of life. Life originally evolved in an aqueous environment, and most of an organism’s cellular chemistry and metabolism occur inside the aqueous contents of the cell’s cytoplasm. Special properties of water are its high heat capacity and heat of...

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Updated: May 26, 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

Computational chemistry in 25 years.

Ruben Abagyan1

  • 1Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA, USA. rabagyan@ucsd.edu

Journal of Computer-Aided Molecular Design
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

Predictions for computational chemistry include increased multicore computing, data growth, and enhanced force fields. We anticipate understanding molecular interactions via 3D binding models for therapeutic and environmental applications.

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Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Biophysics

Background:

  • Current trends in computing and data science.
  • Existing challenges in molecular simulations.
  • The need for advanced predictive models in science.

Purpose of the Study:

  • To forecast key advancements in computational chemistry.
  • To predict the evolution of molecular modeling techniques.
  • To outline future directions in understanding molecular interactions.

Main Methods:

  • Extrapolation of current scientific and technological trends.
  • Analysis of self-fulfilling prophecies in research.
  • Identification and projection of solutions to current scientific challenges.

Main Results:

  • Projected growth in multicore computing power and data volume.
  • Anticipated improvements in computational force fields and sampling methodologies.
  • Prediction of understanding molecular binding through 3D models.

Conclusions:

  • Computational chemistry will advance significantly, driven by hardware and software improvements.
  • 3D molecular binding models will be crucial for understanding therapeutic and environmental effects.
  • Predictive modeling will enhance the study of complex chemical signaling pathways.