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International Conference on Computational Physics and Simulation Technologies

I2CPAST

8th Mar – 9th Mar 2027 Bien Hoa, Vietnam

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

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Terms & Condition

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Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 4 SDG 9 SDG 12 SDG 13
01 Advancements in Computational Physics +
This track focuses on the latest developments in computational physics, emphasizing innovative algorithms and simulation techniques. Researchers are encouraged to present their findings on how these advancements can enhance our understanding of physical phenomena.
SDG 9 SDG 13
02 Applied Mathematics in Scientific Computing +
This session explores the role of applied mathematics in solving complex scientific computing problems. Contributions should highlight mathematical models and methods that facilitate simulations in various scientific domains.
SDG 4 SDG 9
03 Machine Learning Techniques in Computational Science +
This track examines the integration of machine learning methodologies within computational science. Papers should discuss novel applications and the impact of these techniques on data analysis and simulation accuracy.
SDG 4 SDG 9
04 Numerical Methods for Differential Equations +
This session is dedicated to numerical methods for solving differential equations, a cornerstone of computational science. Submissions should present new approaches, algorithms, and their applications in various scientific fields.
SDG 4 SDG 9
05 Optimization Techniques in Simulation +
This track focuses on optimization strategies that enhance simulation performance and accuracy. Researchers are invited to share their insights on optimization algorithms and their practical applications in computational models.
SDG 9 SDG 12
06 Statistical Modeling and Data Science +
This session highlights the intersection of statistical modeling and data science within computational frameworks. Contributions should address innovative statistical techniques that improve data interpretation and predictive modeling.
SDG 4 SDG 9
07 High-Performance Computing in Simulation Technologies +
This track explores the role of high-performance computing in advancing simulation technologies. Papers should discuss the challenges and solutions associated with utilizing HPC resources for large-scale simulations.
SDG 9 SDG 12
08 Quantitative Methods in Computational Research +
This session focuses on quantitative methods that underpin computational research across various disciplines. Authors are encouraged to present methodologies that enhance the rigor and reproducibility of computational studies.
SDG 4 SDG 9
09 Artificial Intelligence in Computational Physics +
This track investigates the application of artificial intelligence techniques in computational physics. Submissions should explore how AI can be leveraged to solve complex physical problems and improve simulation outcomes.
SDG 9 SDG 13
10 Innovations in Computational Methods +
This session is dedicated to innovative computational methods that push the boundaries of traditional approaches. Researchers are invited to share their breakthroughs and the implications for future research in computational science.
SDG 9 SDG 12
11 Research Applications of Computational Techniques +
This track emphasizes the practical applications of computational techniques in various research fields. Contributions should demonstrate how computational methods can be applied to solve real-world problems and advance scientific knowledge.
SDG 9 SDG 17