RESEARCH PROJECTS

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COMPUTATIONAL PHYSICS WITH MS EXCEL®

Through the many years of successfully developing and using computational physics models for solving problems, Dr Waegli has found that Excel is an excellent tool that supports model building from simple calculations to even sophisticated models. Also, it is an extremely fast matrix calculator. Excel is ubiquitous and hence readily available and it is affordable.

Consequently, most of the applications described under "Development Projects" are based on Excel models.

Dr Waegli is exploring the development of Excel based models for problem solving in photonics including optical computing as well as for simulating physical components, subsystems and systems (see "Publications").


SURROGATE MODELS FOR COMPUTATIONAL PHYSICS

Exploring neural networks — known to be universal approximators — as computationally efficient surrogate models for physical components, subsystems and systems. Applications are in in the fields of component design optimization and simulation of systems, typically with a large number of components (see "Publications").


COMPUTATIONAL PHYSICS — APPLICATIONS

Applying computational physics models to research new possibilities in the following areas:

Optical Computing
Simulating optical computing systems and exploring opportunities arising from new devices, manufacturing technologies and materials.
Neuromorphic Components and Systems
Component and network simulations to study the application of resistive devices for the energy efficient implementation of computing functions and the implementation of image and signal analysis functions with electronic retinas, also called Si-retinas according to Carver Mead, who described them in his book "Analog VLSI and Neural Systems".