Why we use computational chemistry over experimental work?
We use computational chemistry to understand, predict, and design chemical systems using computers, often reducing the need for expensive and time-consuming laboratory experiments.
Main Reasons for Using
Computational Chemistry
1.
Prediction of Molecular Properties
We can predict
Ø Molecular
structure
Ø Stability
and energy
Ø Band
gap
Ø Spectra
(IR, UV-Vis, NMR)
2.
Save Time and Cost
Instead of synthesizing many compounds, simulations help select the best candidates first, saving
chemicals, time, and money.
3.
Study Mechanisms
Some reactions are difficult to observe experimentally. Computational
methods help understand:
Ø Reaction
pathways
Ø Transition
states
Ø Reaction
energies.
4. Design New Materials
Used in designing:
Ø Solar
cell materials
Ø Battery
materials
Ø Catalysts
Ø Nanomaterials.
5. Drug Design
Helps predict how drugs interact with proteins using:
Ø Docking
Ø Molecular
dynamics
Ø Binding
energy calculations.
6. Study Systems Difficult
to Experimentally Handle
Ø Very
high temperature or pressure systems
Ø Toxic
or unstable compounds
Ø Short-lived
intermediates.
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