This
research
explores
the
complex
interaction
of
incompressible
cross-fluid
flow,
heat,
and
mass
transfer
characteristics
on
a
porous
rotating
disk.
The
study
employs
sophisticated
mathematical
methods,
including
similarity
transformations,
to
convert
governing
partial
differential
equations
into
nonlinear
ordinary
equations.
These
are
then
solved
using
numerical
method,
fourth-class
boundary
value
problem.
We
employ
an
Artificial
Neural
Networks
algorithm
with
backpropagation
Levenberg–Marquardt
Scheme
analyze
heat
mechanism
quantitatively.
Our
results
provide
accurate
values
for
Nusselt
number,
Sherwood
skin
friction
coefficient.
examination
addresses
this
system's
fluid
mechanics
transport
phenomena
potential
applications
in
engineering
industrial
processes.
