Hybrid Conferencee

International Conference on Computational Physics in Climate and Environmental Studies (ICCPCES - 26)

26th - 27th September 2026 | Zurich, Switzerland

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Zurich conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Zurich, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Zurich."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 7
SDG 7 Affordable and Clean Energy
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Computational Climate Modeling

This track focuses on the latest methodologies and technologies in computational climate modeling. Participants will explore innovative approaches to enhance the accuracy and efficiency of climate predictions.

Track 02

Environmental Physics: Principles and Applications

This session will delve into the fundamental principles of environmental physics and their practical applications in addressing climate challenges. Discussions will include the role of physical laws in understanding environmental processes.

Track 03

Sustainable Energy Systems: Modeling and Simulation

This track aims to investigate the modeling and simulation of sustainable energy systems. Participants will share insights on optimizing energy production and consumption through computational techniques.

Track 04

Ecosystem Modeling and Biodiversity Assessment

This session will address the computational approaches used in ecosystem modeling and biodiversity assessment. Researchers will present their findings on the interactions within ecosystems and their responses to environmental changes.

Track 05

Numerical Methods in Environmental Data Analysis

This track will cover the application of numerical methods in analyzing environmental data. Emphasis will be placed on innovative techniques that improve data interpretation and decision-making in environmental studies.

Track 06

Renewable Energy Technologies: Innovations and Challenges

This session will explore the latest innovations in renewable energy technologies and the challenges they face. Discussions will include computational strategies for enhancing the efficiency and integration of renewable energy sources.

Track 07

Climate Prediction Models: Accuracy and Reliability

This track focuses on the development and validation of climate prediction models. Participants will discuss methods to improve model accuracy and reliability in forecasting climate-related phenomena.

Track 08

Material Simulation for Sustainable Development

This session will examine the role of material simulation in promoting sustainable development. Researchers will present computational techniques for designing materials that minimize environmental impact.

Track 09

Environmental Assessment Techniques and Tools

This track will highlight various techniques and tools used for environmental assessment. Participants will discuss the integration of computational methods in evaluating environmental impacts and sustainability.

Track 10

Eco-Physics: Interdisciplinary Approaches to Sustainability

This session will explore the interdisciplinary nature of eco-physics and its contributions to sustainability. Discussions will focus on the intersection of physics, ecology, and environmental science in addressing global challenges.

Track 11

Data-Driven Approaches in Climate and Environmental Research

This track will emphasize the importance of data-driven approaches in climate and environmental research. Participants will share insights on leveraging big data and machine learning techniques to enhance environmental modeling and analysis.