Smart Neural Integral Equation Models
for basic problems of polariton chemistry,
spintronics, femto-photonics and quantum mechanics
30+ Smart Neural Integral Equation neural network models. Try it on your data or make an individual order of SmartIE-model.
Find. Get. Train. SmartIE models will work for you
Ready-made neural network SmartIE-models will optimize NP-hard industrial problems, ranging from the improvement of quantum algorithms to the production of new nanomaterials for capturing and converting CO2. See how you can use SmartIE-models in your business:
Choose SmartIE-model suitable for your task
Train SmartIE-model on your own data
Integrate trained neural network with your business
Use Smart Neural Integral Equation for calculation of the XY spin model for polariton quantum simulators. SmartIE manipulates polariton graphs, that describe the spin model and are analogous to the Hamiltonian, but for polariton simulators.
Smart Neural Integral Equation models optimize the control of the nonlinear electrolysis process in electromembrane systems and electrolyzers. In the SmartIE models you will find a variety of materials that electrolysis can use to create or recover: green hydrogen, aluminum, chlorine, sodium chlorate and others.
Use Smart Neural Integral Equation to model a magnetic refrigerator. SmartIE model gives the possibility to carry out a working map, and then, applying an optimisation process, it is possible to catch the optimal working point regarding the number of revolution of the magnets per minute and the volumetric flow rate of the regenerating fluid. This pre-trained model maximise the COP (energy saving) and the cooling capacity (time-saving).
Control Plasma-enhanced chemical vapor deposition with the Smart Neural Integral Equation neural network model, which allows you to approximate the dynamics of the evolution of structures - products of plasma-chemical reactions, non-quantum materials, such as cubic silicon carbide.
Unleash the full potential of Smart Neural Integral Equation in managing chaotic plasma technologies to convert CO2 into quantum and nanomaterials. For each type of material, different SmartIE models are used, which solve specific computational problems. For example, for graphene, SmartIE predicts the appearance of aromatic rings and their further development to the carbon nanostructure of graphene. To maintain this process, it is necessary to control the plasma density, the optimal choice of the substrate on which the synthesis occurs (for example, Si single crystal, Si polycrystal; SiO2; Ti), the temperature of this substrate, etc.
Use Smart Neural Integral Equation models for different tasks: representation of wave function, density matrix representation and direct computation optimization of Variational and Diffusion Monte Carlo algorithms.
Boost your Vibrational Strong Coupling (VSC) performance with Smart Neural Integral Equation. SmartIE models allow you to select the parameters for starting and maintaining the process of strong vibration coupling in optical resonators. VSC + SmartIE = new, advanced quantum, non-quantum and nanomaterials that can be used for CO2 capture and conversion