[HTML][HTML] A prediction model for the performance of solar photovoltaic-thermoelectric systems utilizing various semiconductors via optimal surrogate machine learning …
H Alghamdi, C Maduabuchi, A Albaker, I Alatawi… - … Science and Technology …, 2023 - Elsevier
This research focuses on finding the best surrogate performance prediction model for a solar
photovoltaic-thermoelectric (PV-TE) module with different semiconductor materials. The …
photovoltaic-thermoelectric (PV-TE) module with different semiconductor materials. The …
Improved thermoelectric properties of re-substituted higher manganese silicides by inducing phonon scattering and an energy-filtering effect at grain boundary …
S Ghodke, A Yamamoto, HC Hu… - … applied materials & …, 2019 - ACS Publications
In this study, the effect of the grain boundary density on the transport properties of the Re-
substituted higher manganese silicide Mn30. 4Re6Si63. 6 has been investigated. The …
substituted higher manganese silicide Mn30. 4Re6Si63. 6 has been investigated. The …
Accurate and Quick Design of High-Performing Solar Photovoltaic-Thermoelectrics by Harnessing the Power of Artificial Intelligence
CC Maduabuchi - Available at SSRN 4169916 - papers.ssrn.com
Although the photovoltaic-thermoelectric has greatly reduced the overheating of solar cells,
the large-scale manufacturing and commercialization of these devices are yet to be carried …
the large-scale manufacturing and commercialization of these devices are yet to be carried …
Machine learning enhanced performance optimization of a photovoltaic-thermoelectric system
CC Maduabuchi - Available at SSRN 4002335 - papers.ssrn.com
Finite element solvers (FEMs) solvers like ANSYS and COMSOL Multiphysics require very
high computation speeds that are quite expensive. Second, they require a considerable …
high computation speeds that are quite expensive. Second, they require a considerable …
Thermoelectric Properties of MnSi1.74-1.75:Gem Prepared by Solid-State Reaction and Hot Pressing
IJ Lee, SB Park, SC Ur, KW Jang, IH Kim - Korean Journal of Metals and …, 2019 - kjmm.org
Abstract Higher manganese silicides (HMSs) MnSi 1.74-1.75: Ge m (m= 0.01–0.04) were
prepared by solid-state reaction and hot pressing. The major phases of the HMSs were Mn …
prepared by solid-state reaction and hot pressing. The major phases of the HMSs were Mn …