Sat, Apr 25, 2026

CSIR Fourth Paradigm Institute

(Formerly CSIR Centre for Mathematical Modelling and Computer Simulation)

A constituent laboratory of Council of Scientific & Industrial Research (CSIR).

Ministry of Science and Technology, Government of India.

Modelling for science, for a better future - some recent outcomes

Earth & Engineering Sciences Division (EESD)

Computational Mechanics

Sophisticated mathematical modelling aided by powerful computing and visualization has the potential to provide the cutting-edge to industry; generation of cost-effective solutions, process optimization and product design are some of the areas where modelling and simulation can play critical to enabling role. The C-MMACS Computational Industrial Mechanics Programme (CIMP) seeks to develop and apply tools of mathematical modelling and computer simulation in diverse areas of engineering.

Computational Mechanics Group contributed in development of FINEART an indigenous finite element software code jointly with few other CSIR Laboratories. Molecular Simulation study of Carbon Nanotube and work on Lattice-Boltzmann method, which is eminently suited to parallel computation, has been initiated. The work on periodically forced suspensions is also of significance. Sophisticated mathematical modelling aided by powerful computing and visualization has the potential to provide the cutting-edge to industry in a number of areas. The current topics of research are:

  •     Computational nano-mechanics
  •     Finite element modelling
  •     Numerical algorithms
  •     Optimization and visualization
  •     Nonlinear Dynamics 

Multiscale Modeling and Simulation

A fundamental barrier in advancing multiscale weather and climate prediction is the limited capability of contemporary models to represent the multiscale organization of precipitating convection. To overcome this, a multiscale modeling and simulation framework, which replaces the conventional cloud parameterizations with a cloud-resolving model (CRM) in each grid column of a GCM, constitutes a new and promising approach. This can provide for global coverage, two-way interactions between the CRMs and their parent GCM and explicit simulation of cloud processes and their interactions with aerosol, radiation and surface processes.

Multiscale Modeling and Simulation Group seeks to develop and apply this framework in various disciplines including weather and climate change. The current research areas in this field are:

Carbon Cycle and Ocean Modelling

A detailed knowledge of the carbon cycle is an important component in the study of our changing climate. At C-MMACS we have endeavoured to investigate and integrate several components of the carbon cycle – oceanic, terrestrial and atmospheric along with a synthesis of modelling and measurements to elucidate the key processes in the climate system.

The capability to model the complete carbon cycle and its climatic feedback will enable us to make informed choices about climate change mitigation. At C-MMACS we have carried out a comprehensive study of this by integrating high precision data with sophisticated models of the oceanic circulation, carbon cycle, transport and inversion for robust flux estimation.

For the first time in India, carbon flux has been estimated by inverting the data from CO2 measurement stations at Hanle and Pondicherry which has reduced the posteriori uncertainties of these estimates significantly. The group focuses on in-house developed ocean biogeochemistry model which integrates physics, chemistry and biology of the marine system. The current topics of research are:

  •     Carbon cycle modelling and measurements for climate change mitigation
  •     Ocean biogeochemical modelling 

Vision: 

To synergize the Transdisciplinary Pan-CSIR expertise and build a unified platform that embodies a rich set of big data enabling technologies and services with optimized performance to facilitate data intensive scientific discovery in the country.

Mission:

To Pioneer data driven interdisciplinary research in diverse fields through state-of-the-art data science ecosystem and impactful industrial partnerships for the betterment of Society.

Mandate: 

To develop cutting edge data science products as a horizontal across the CSIR Themes and position as an Institute of Excellence in Bigdata and Artificial Intelligence.

Student Programme for Advancement in Research Knowledge (SPARK)

SPARK is intended to provide a unique opportunity to bright and motivated students of reputed Universities to carry out their major project/thesis work and advance their research knowledge in mathematical modelling and simulation of complex systems. The programme is intended to increase the interaction between scientists and faculty members of academic institutes along with their students towards a long term research collaboration. Click here to apply for SPARK.

A FAQ on SPARK is available here.

 

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