Featured Research
AI-native process simulation
Deterministic thermodynamic engine
Physical constraint integration
Coupling natural language interfaces directly with physical thermodynamic equations, conservation laws, material balances, and numerical solvers in early development.
We are developing an application that explores natural-language assistance for process simulation, with engineering calculations handled by a deterministic simulation engine.
Primary research areas
Areas of interest
Core technical disciplines and scientific computing methodologies guiding our research notebook, process flowsheets, and thermodynamic modeling explorations.
Artificial intelligence & computing
Chemical & process thermodynamics
Petroleum & energy systems
Investigating language model interfaces and scientific computing architectures for constructing and modifying technical process flowsheets.
Grounded by deterministic mass, energy, and phase equilibrium calculations ensuring thermodynamic laws precede computational predictions.
Analyzing physical constraints, property packages, and numerical solvers across energy process models and chemical engineering systems in development.
Founders' development journal
Laminar Labs was established by Mohd Anas Adnan and Mohd Rehan Haider Kazmi, ZHCET AMU alumni, to document technical progress, ideas, and development logs across artificial intelligence, machine learning, and chemical process engineering.
We maintain transparent records of architectural decisions, physical thermodynamic constraints, and open research questions as our deterministic simulation tools evolve.
For questions regarding our research notebook, project discussions, or technical collaboration, send us a message via our contact form.