Banca de DEFESA: BASSEM YOUSSEF MAKHOUL JUNIOR

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : BASSEM YOUSSEF MAKHOUL JUNIOR
DATE: 08/02/2023
TIME: 14:00
LOCAL: https://conferenciaweb.rnp.br/webconf/laboratorio-de-sistemas-digitais-ufba
TITLE:

SIMULATION OF KINETIC WRIPPING ON INTERFACE GROWTH IN MULTILAYER MATERIALS USING MACHINE LEARNING

KEY WORDS:

Machine Learning

PAGES: 57
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUMMARY:

Due to the increase in the amount of data available globally, Machine Learning
techniques are becoming increasingly popular, both in industry and academia. In the
field of materials science, simulation models have already led to several relevant
developments, including the design of new materials. A phenomenological simulation,
in general, requires the analytical description of the physical processes involved and
requires great computational power for its execution. to perform an extrapolation of
the roughness pattern of the Ballistic deposition model. From this premise, this work
has as main objective to use Machine Learning models to the problem of particle
deposition in films, to perform an extrapolation of the roughness pattern of the
Ballistic deposition model. Applying machine learning models and methodologies,
we intend to learn the normalized roughness pattern for substrate sizes that are
computationally viable to simulate, in order to carry out an extrapolation of these
to sizes that have not yet been simulated, and also to large sizes, that would require
enormous computing power.We used the Root of the Mean Square Error as a
validation parameter, in order to evaluate how successful the machine learning
was, in addition, the methodology as a whole. From the learning, we performed
roughness extrapolations to sizes close to “infinity” and from these, we extract the
roughness exponent α, which is a constant with computational value still uncertain.
In conclusion, we can highlight as preliminary results obtained, the roughness curves
for lengths that tend to the thermodynamic limit, something that has not yet been
observed in the literature, and from these, we were able to extract the exponent α
for such lengths, where this approaches the value expected by the theory.

COMMITTEE MEMBERS:
Interno - 2506534 - EDUARDO FURTADO DE SIMAS FILHO
Interno - 2530359 - ANTONIO CARLOS LOPES FERNANDES JUNIOR
Externo ao Programa - 1876752 - THIAGO ALBUQUERQUE DE ASSIS - UFBAExterno à Instituição - EDUARDO PESTANA DE AGUIAR - UFJF
Externo à Instituição - FERNANDO ALBUQUERQUE DE OLIVEIRA - UnB