Motivated　by　the　thermal　importance　of　feeble　electrically　conducting　nanofluids　and　their　flow　controls　in　many　industrial　and　engineering　applications,　the　present　scrutinization　intended　to　evidence　comprehensively　the　main　electro-magneto-hydrothermal　and　mass　aspects　of　convective　non-homogeneous　flows　of　alumina-based　pure　water　nanofluids　Al2O3　-H2O　over　a　horizontal　flat　surface　of　an　electromagnetic　actuator　(i.e.,　Riga　pattern,　which　is　embedded　geo-metrically　in　a　Darcy-Forchheimer　porous　medium.　Further,　the　present　nanofluid　flow　model　is　formulated　realistically　under　the　umbrella　of　the　renovated　two-phase　Buongiorno＇s　approach　with　the　inclusion　of　Brownian　motion　and　thermophoresis　diffusive　phenomena,　in　which　the　vertical　component　of　the　nanoparticles＇　mass　flux　tend　to　vanish　at　the　limiting　contact　surface　due　to　its　impermeability　trend.　For　streamlining　the　technical　handling　of　the　present　nanofluid　flow　problem,　the　governing　partial　differential　equations　(PDEs)　are　simplified　mathematically　by　adopting　the　physical　approximations　of　the　boundary　layer　theory　and　then　transformed　into　a　differential　structure　of　ordinary　differential　equations　(ODEs)　based　on　several　similarity　changes.　Methodologically,　the　resulting　nonlinear　coupled　ODEs　are　solved　numerically　via　a　validated　dif-ferential　quadrature　procedure.　Besides,　the　generated　graphical　demonstrations　show　that　the　nanofluid　temperature　is　enhanced　significantly　with　the　porosity　factors,　the　nanoparticles＇　load-ing,　the　convective　heating　strength,　and　the　thermophoresis　process.　However,　the　porosity　factors　and　the　nanoparticles＇　loading　exhibit　a　slowing-down　impact　on　the　nanofluid　motion.　Usefully,　it　is　revealed　from　the　obtained　GDQM　-NRT　datasets　that　the　nanoparticles＇　loading　and　the　poros-ity　factors　express　an　important　improvement　in　the　strength　of　the　surface　viscous　drag　forces,　whereas　the　induced　electromagnetic　field　shows　a　reverse　viscous　frictional　impact.(c)　2022　THE　AUTHORS.　Published　by　Elsevier　BV　on　behalf　of　Faculty　of　Engineering,　Alexandria　University.　This　is　an　open　access　article　under　the　CC　BY-NC-ND　license　(http://creativecommons.org/　licenses/by-nc-nd/4.0/).