Simulated quantum computation energy of molecular System using Decision Making Trial and Evaluation Laboratory (DEMATEL) method

In this study, we present a novel approach to estimate the energy of molecular systems using simulated quantum computation and the DEMATEL (Decision Making Trial and Evaluation Laboratory) method. By leveraging the power of quantum computing simulations, we demonstrate the ability to accurately assess molecular energy states, opening new avenues for advancements in computational chemistry and molecular physics. The integration of DEMATEL enables us to identify critical molecular factors influencing energy states, providing deeper insights into complex quantum systems. Our findings showcase the potential of combining quantum computation and DEMATEL as a promising framework for tackling challenging problems in molecular modelling and design. The alternatives and Evaluation parameters are Methane (CH4), Water (H2O), Ethanol (C2H5OH), Carbon Dioxide (CO2), Benzene (C6H6), Ammonia (NH3), Hydrogen Fluoride (HF) and Sulfur Hexafluoride (SF6). In the Molecular Systems results, Sulfur Hexafluoride (SF6) achieved the highest rank, securing the first position. On the other hand, Hydrogen Fluoride (HF) received the lowest rank in the ranking.

Publication Details

Journal
Computer Science Engineering and Technology
Published
2025-04-02
DOI
https://doi.org/10.46632/cset/3/1/7
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulated quantum computation energy of molecular System using Decision Making Trial and Evaluation Laboratory (DEMATEL) method

Computer Science Engineering and Technology
Advanced Thermodynamics and Statistical Mechanics
article

Simulated quantum computation energy of molecular System using Decision Making Trial and Evaluation Laboratory (DEMATEL) method

article en

Abstract

In this study, we present a novel approach to estimate the energy of molecular systems using simulated quantum computation and the DEMATEL (Decision Making Trial and Evaluation Laboratory) method. By leveraging the power of quantum computing simulations, we demonstrate the ability to accurately assess molecular energy states, opening new avenues for advancements in computational chemistry and molecular physics. The integration of DEMATEL enables us to identify critical molecular factors influencing energy states, providing deeper insights into complex quantum systems. Our findings showcase the potential of combining quantum computation and DEMATEL as a promising framework for tackling challenging problems in molecular modelling and design. The alternatives and Evaluation parameters are Methane (CH4), Water (H2O), Ethanol (C2H5OH), Carbon Dioxide (CO2), Benzene (C6H6), Ammonia (NH3), Hydrogen Fluoride (HF) and Sulfur Hexafluoride (SF6). In the Molecular Systems results, Sulfur Hexafluoride (SF6) achieved the highest rank, securing the first position. On the other hand, Hydrogen Fluoride (HF) received the lowest rank in the ranking.

Computer Science Engineering and TechnologyVol. 3(1 march 2025)
Openalex Percentile: Top 95%
Advanced Thermodynamics and Statistical Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.