Physics-Informed Machine Learning Society

  • FDP: 25 September 2026

  • Annual Meeting: 08–09 July 2027

  • Andhra Pradesh, India

  • pimlsociety@gmail.com

Physics-Informed Machine Learning Society

Research Areas

Physics-Informed Machine Learning across engineering, science and emerging technologies.

Mechanical Engineering

Fluid mechanics, heat transfer, solid mechanics, manufacturing, dynamics, robotics, predictive maintenance and engineering digital twins.

Example directions: PINNs for heat conduction, neural operators for flow prediction and physics-guided fault diagnosis.

Explore Mechanical & PIML

Civil Engineering

Structural mechanics, geotechnical systems, earthquake engineering, hydrology, transportation, construction materials and structural health monitoring.

Explore Civil & PIML

Chemical Engineering

Reaction kinetics, transport phenomena, process modelling, multiphase flow, process control, energy systems and chemical-process digital twins.

Explore Chemical & PIML

Electrical & Electronics Engineering

Power systems, smart grids, electrical machines, renewable energy, batteries, circuit models, fault diagnosis and energy optimisation.

Explore EEE & PIML

Metallurgical Engineering

Alloy design, thermodynamics, phase transformations, heat treatment, microstructures, corrosion, processing and digital twins.

Explore Metallurgy & PIML

Computer Science & Engineering

Physics-Informed Neural Networks, neural operators, Scientific Machine Learning, differentiable programming, automatic differentiation, optimisation and trustworthy AI.

Explore CSE & PIML

Biotechnology Engineering

Biological-system modelling, biomechanics, physiological signals, medical imaging, drug transport, computational biology and biomedical digital twins.

Explore Biotechnology & PIML

All Engineering Branches

Explore the complete directory of 265 supplied engineering branches, organised into ten interdisciplinary families. Every listed branch opens its own PIML information page.

Find your engineering branch

Connect with PIMLS

Advance interdisciplinary research with the PIML community.

Contact us about research collaboration, programs, membership or institutional participation.