Industries

engicloud.ai across every field

From pharmaceutical drying to scramjet engines — explore ready-to-run projects built for your discipline, combining physics models, AI, and real engineering data.

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What are “synthetic models”? Each calculator is a Python implementation of a known, published equation — carefully LLM-generated from curated literature. Check here for details on how we did that.

Pharmaceutical Engineering

Simulate particle attrition, drug dissolution, and material property extraction — all within a unified modelling environment.

To simulate drug dissolution using a 1D (Nerst-Brunner) and a 3D transient diffusion equation

Models the attrition of particles during the pharmaceutical drying process. Based on a lower order model that assumes breakage dues to collision between particles and equipment, and shear forces in the bulk.

Extract soluability from paper using Chat GPT and store for later use

Chemical & Process Engineering

From reactor simulation to steam dryer systems — model complete plant-level chemical processes with Cantera-powered kinetics and coupled subsystems.

Using Cantera library to simulate a continuously stirred tank reactor (CSTR) with steady inputs but periodic interior state.

Coupled heat transfer in one dimension. Cold pellets are inserted and heated up moving down the silo, gas coming from below

Coupled heat transfer in one dimension. Cold pellets are inserted and heated up moving down the silo, gas coming from below

For a given set up, calculate the pump curve and system curve and identify the best pump to operate.

The Steam Dryer System brings together four subsystems: MassFlowSystem, DryingProcessSystem, SteamFluxSystem, and ColdWaterSystem

Using Cantera library to simulate a 1-D steady plug flow reactor. Simulates the partial oxidation of methane over a platinum catalyst in a packed bed reactor.

Using Cantera library to simulate the mixing of two streams (air and methane) in stoichiometric proportions.

Energy

Model lithium-ion batteries, size solar panel systems, and simulate coal power plant Rankine cycles — from component level to full plant.

Use pvlib to calculate the solar irradiance at a location and estimate the solar panel and battery requirements.

Calculates the open-circuit voltage (OCV) of a lithium-ion battery as a function of the lithium content using kinetic method and thermodynamic method.

The project consists of five subsystems: FurnaceSystem, SteamGenerator, Turbine, Condenser, and Pump to simulate a simplified Rankine cycle.

Materials Modeling

From Hall-Petch grain refinement to Materials Project database screening — predict, analyse, and optimise material properties at every scale.

Screens for materials containing specified elements with available elasticity data, extracts bulk and shear moduli along with Poisson's ratio, and returns the results in structured arrays.

Queries the Materials Project database for all compounds matching a given chemical formula, ranks them by thermodynamic stability, and extracts key energetic and structural properties.

Filters the Materials Project database for compounds within a specific electronic bandgap range

Calculates the upper (Iso-strain) and lower (Iso-stress) bounds for the Young's Modulus of a fiber-reinforced composite.

Calculates Hertzian contact parameters and plots the 1D pressure radial profile, using analytical Hertzian contact mechanics.

Implements the classic Hall-Petch equation, which describes the strengthening effect that results from reducing a material's grain size.

Queries the Materials Project database for materials matching bandgap, chemistry, and stability filters, sorts them by stability, and stores the key properties.

Aerospace

Model scramjet engines at five levels of fidelity — from generic flow topology to 1-D reactor combustion with real gas thermodynamics.

Scramjet engine with 0D combustion and perfect gas model

Scramjet engine with 1D reactor model combustion and perfect gas model

Scramjet engine with 0D reactor model combustion and real gas model

Scramjet engine with 1D reactor model combustion and real gas model

Medical & Biological

Apply machine learning and differential equation solvers to clinical prediction, epidemiology, and population dynamics.

Load and execute a trained and versioned ML workflow

Use a Random Forest Classifier to predict likelihood of heart attack based on medical parameters.

Simulate the time evolution of prey and predator populations using the Lotka-Volterra equations.

Geotechnical Engineering

Run ready-to-use geomechanics projects on — compute strain from applied stress using rheological moduli and elapsed time, or calculate hydro-mechanical state variables and hardening parameters for advanced constitutive soil models.

Describes time-dependent creep deformation of soft soil under a sustained load using a multi-component rheological representation.

Predicts the volumetric strain and degree of saturation from effective stress and modified suction increments while accounting for micro-pore structure effects.

How it all fits together

engicloud.ai has a simple object hierarchy. Understanding these four building blocks tells you everything about how the platform works.

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Equation

A mathematical relationship from published literature — e.g. Bernoulli's equation, Fourier's law.

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Calculator

Calculator: A Python function implementing one or more equations, or a call to an API — typed inputs/outputs, units, docs, unit tests. The atomic building block.

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Workflow (Project)

A visual pipeline of connected calculators on the node canvas. Outputs of one feed inputs of the next. You can also feed back outputs as inputs and iterate towards a steady state.

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Team Library

A shared, access-controlled collection of calculators and workflows scoped to your organization.

Equation → Calculator → Workflow → Shared Library