- combustion
- optimization
- uq
MOSIAC
An open-source, uncertainty-quantified workbench for combustion kinetic mechanism optimization
Work
40 projects · 588 images · 100 videos
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2026-10-07 flamelabSeam check of two stitched video parts
2026-10-07 flamelabCalibration from a ruler and the burner tube
2026-10-07 flamelabStitching video parts into one stream
2026-10-07 flamelabDetecting the onset with a sliding window
2026-10-07 flamelabOnset of puffing: Hopf bifurcation
2026-10-07 flamelabInverse Abel transform by onion peeling
2026-10-07 flamelabFlame height versus heat release
2026-10-07 flamelabKymograph: stripe slope is convection speed
2026-10-07 flamelabVeiling glare and the threshold
2026-10-07 flamelabAliasing: a 14 Hz flame at 23.976 fps
2026-10-06 Neural ODEs and Transformations — A Self-Built CourseS052 No chart compresses the stiffness ratio of hydrogen/air; a nonlinear chart moves a spectrum only away from rest 40 of 40 projects
An open-source, uncertainty-quantified workbench for combustion kinetic mechanism optimization
Multi-stage optimization and a power-mean objective for multi-dataset combustion mechanism calibration
A fast uncertainty-quantification methodology and sampling technique for the joint probability distribution of the Arrhenius rate expression
A multi-month, derivation-first course on Neural ODEs, coordinate transformations and stiff chemical kinetics, with a verified animation for every session
A documented research journey toward neural surrogates for stiff H2/O2 autoignition — including a statistical audit of my own results
A from-scratch, chronologically-built turbulence-closure curriculum in Python — classical RANS through LES, hybrid RANS-LES, and a first data-driven correction, every claim backed by a mechanically-enforced disclosure registry
A from-scratch Julia CFD/multiphysics library, with a Python frontend and a cross-engine geometry kernel, aimed at closing the gap between commercial CFD and machine learning
An interactive Neural ODE research environment unifying 44 hand-cloned training-script versions, with a live FastAPI+React GUI, a widened optimizer zoo, RL-as-a-trainer, symbolic regression, PINN benchmarks, and an executed d2l-style curriculum
M.Tech thesis — steam and catalyst effects on lignite gasification in a pilot-scale downdraft gasifier
A computer-vision instrument that measures flame length, width and flicker from pool-fire video in physical units with propagated uncertainty — regime classification, cross-run ensemble statistics, and thirteen analysis methods
An induction-heated tube vaporizer for MtG/ethanol surrogate fuel, sized against boiling glide, critical heat flux and flow instability, plus a fabrication-grade combustion-rig drawing package
Using symbolic regression to discover interpretable rate rules for unimolecular decomposition reactions
A reacting-flow CFD and design-of-experiments study of hydrogen and methane co-injection with pulverised coal — how far tuyere CO₂ intensity can fall before the material limit stops you
A dependency-light process-integration-and-design-optimization workbench with a plug-and-play graph IR, closed by a reinforcement-learning conformer search that tunes a long alkane chain's rotors one at a time
A local web app for visualising multivariable calculus, transformations, ODEs and PDEs, mechanisms, deformation and molecules
A differentiable electronic-structure engine in early development, and a self-study course in quantum chemistry
Software engineering: fourteen copies of a kinetics pipeline merged into one tested code base
Fifteen teaching figures on schemes, stability and accuracy, generated from the PANSOPHIA numerics stack
A from-scratch signed-distance-field geometry kernel cross-checked against Gmsh and a PicoGK-compatible engine, with the GeoStudio GUI
In-house 2D/3D finite-element flow solver and Maxey-Riley particle tracer for inertial-microfluidics separation studies, with a validation dossier
Cavity, conjugate heat transfer, boiling, FSI, structural, ignition and stochastic/UQ test figures from the PANSOPHIA solver

IIT Madras doctoral thesis on optimization of combustion kinetic models; Chapter 3 and Chapter 4 figures

Figures from the full paper on a power-mean objective for multi-dataset combustion mechanism optimization
Conference paper submitted to ICICEPC 2026

Charts, diagrams and a slide deck explaining Neural ODEs for stiff chemistry, with toy experiments
How light is guided on a chip - slab and wire waveguides, ring resonators and optical interconnects. A first-principles learning page.

How semiconductors make light and detect it - LEDs, laser diodes, photodiodes and solar cells. A first-principles learning page.

From Maxwell's equations to waves, reflection and the skin effect - the physics under every antenna, waveguide and chip wire. A first-principles learning page.

An interactive app that rebuilds the periodic table in five historical steps, from Lavoisier's 33 simple substances to quantum shells

Five interactive instruments for electrical and electronics engineering - RLC and phasors, Bode filters, a Smith chart, diode and MOSFET curves, and buck and boost converters

How a chip is made, from a bare silicon wafer to a packaged die - oxidation, lithography, etching, doping, deposition, polishing and yield. A first-principles learning page.

Why printing smaller chips needs shorter light and bigger lenses - Rayleigh resolution, depth of focus, EUV and photon shot noise. A first-principles learning page.

A short course that rebuilds the periodic table from Lavoisier's 33 simple substances to Moseley's atomic number, with session notes to download

How the transistor works and why shrinking it helped, then stopped helping - square-law operation, subthreshold leakage and Dennard scaling. A first-principles learning page.

From a single CMOS inverter to a chip - logic levels, noise margin, dynamic power, the energy-delay trade-off and the digital design flow. A first-principles learning page.

How switching converters change voltage efficiently - buck, boost and buck-boost, inductor ripple, losses and wide-bandgap devices. A first-principles learning page.

Transmission lines, reflection and matching, antennas and the Friis link budget - how radio signals travel and how circuits hand them over. A first-principles learning page.

How tiny mechanical sensors work and how feedback makes systems behave - MEMS resonators, capacitive sensing and PID control. A first-principles learning page.
An open-source, uncertainty-quantified workbench for combustion kinetic mechanism optimization
Multi-stage optimization and a power-mean objective for multi-dataset combustion mechanism calibration
A fast uncertainty-quantification methodology and sampling technique for the joint probability distribution of the Arrhenius rate expression
A multi-month, derivation-first course on Neural ODEs, coordinate transformations and stiff chemical kinetics, with a verified animation for every session
A documented research journey toward neural surrogates for stiff H2/O2 autoignition — including a statistical audit of my own results
A from-scratch, chronologically-built turbulence-closure curriculum in Python — classical RANS through LES, hybrid RANS-LES, and a first data-driven correction, every claim backed by a mechanically-enforced disclosure registry
A from-scratch Julia CFD/multiphysics library, with a Python frontend and a cross-engine geometry kernel, aimed at closing the gap between commercial CFD and machine learning
An interactive Neural ODE research environment unifying 44 hand-cloned training-script versions, with a live FastAPI+React GUI, a widened optimizer zoo, RL-as-a-trainer, symbolic regression, PINN benchmarks, and an executed d2l-style curriculum
M.Tech thesis — steam and catalyst effects on lignite gasification in a pilot-scale downdraft gasifier
A computer-vision instrument that measures flame length, width and flicker from pool-fire video in physical units with propagated uncertainty — regime classification, cross-run ensemble statistics, and thirteen analysis methods
An induction-heated tube vaporizer for MtG/ethanol surrogate fuel, sized against boiling glide, critical heat flux and flow instability, plus a fabrication-grade combustion-rig drawing package
Using symbolic regression to discover interpretable rate rules for unimolecular decomposition reactions
A reacting-flow CFD and design-of-experiments study of hydrogen and methane co-injection with pulverised coal — how far tuyere CO₂ intensity can fall before the material limit stops you
A dependency-light process-integration-and-design-optimization workbench with a plug-and-play graph IR, closed by a reinforcement-learning conformer search that tunes a long alkane chain's rotors one at a time
A local web app for visualising multivariable calculus, transformations, ODEs and PDEs, mechanisms, deformation and molecules
A differentiable electronic-structure engine in early development, and a self-study course in quantum chemistry
Software engineering: fourteen copies of a kinetics pipeline merged into one tested code base
Fifteen teaching figures on schemes, stability and accuracy, generated from the PANSOPHIA numerics stack
A from-scratch signed-distance-field geometry kernel cross-checked against Gmsh and a PicoGK-compatible engine, with the GeoStudio GUI
In-house 2D/3D finite-element flow solver and Maxey-Riley particle tracer for inertial-microfluidics separation studies, with a validation dossier
Cavity, conjugate heat transfer, boiling, FSI, structural, ignition and stochastic/UQ test figures from the PANSOPHIA solver

IIT Madras doctoral thesis on optimization of combustion kinetic models; Chapter 3 and Chapter 4 figures

Figures from the full paper on a power-mean objective for multi-dataset combustion mechanism optimization
Conference paper submitted to ICICEPC 2026

Charts, diagrams and a slide deck explaining Neural ODEs for stiff chemistry, with toy experiments
How light is guided on a chip - slab and wire waveguides, ring resonators and optical interconnects. A first-principles learning page.

How semiconductors make light and detect it - LEDs, laser diodes, photodiodes and solar cells. A first-principles learning page.

From Maxwell's equations to waves, reflection and the skin effect - the physics under every antenna, waveguide and chip wire. A first-principles learning page.

An interactive app that rebuilds the periodic table in five historical steps, from Lavoisier's 33 simple substances to quantum shells

Five interactive instruments for electrical and electronics engineering - RLC and phasors, Bode filters, a Smith chart, diode and MOSFET curves, and buck and boost converters

How a chip is made, from a bare silicon wafer to a packaged die - oxidation, lithography, etching, doping, deposition, polishing and yield. A first-principles learning page.

Why printing smaller chips needs shorter light and bigger lenses - Rayleigh resolution, depth of focus, EUV and photon shot noise. A first-principles learning page.

A short course that rebuilds the periodic table from Lavoisier's 33 simple substances to Moseley's atomic number, with session notes to download

How the transistor works and why shrinking it helped, then stopped helping - square-law operation, subthreshold leakage and Dennard scaling. A first-principles learning page.

From a single CMOS inverter to a chip - logic levels, noise margin, dynamic power, the energy-delay trade-off and the digital design flow. A first-principles learning page.

How switching converters change voltage efficiently - buck, boost and buck-boost, inductor ripple, losses and wide-bandgap devices. A first-principles learning page.

Transmission lines, reflection and matching, antennas and the Friis link budget - how radio signals travel and how circuits hand them over. A first-principles learning page.

How tiny mechanical sensors work and how feedback makes systems behave - MEMS resonators, capacitive sensing and PID control. A first-principles learning page.
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