Newtonian mechanics based hybrid machine learning method of characterizing energy band gap of doped zno semiconductor

Research article (Chinese Journal of Physics, 2020) · cited 28× · AI/ML
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Newtonian mechanics based hybrid machine learning method of characterizing energy band gap of doped zno semiconductor

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Newtonian mechanics based hybrid machine learning method of characterizing energy band gap of doped zno semiconductor is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Newtonian mechanics based hybrid machine learning method of characterizing energy band gap of doped zno semiconductor. Retrieved May 24, 2026, from https://4ort.xyz/entity/newtonian-mechanics-based-hybrid-machine-learning-method-of-characterizing-energy-band-gap-of-doped-zno-semiconductor
MLA “Newtonian mechanics based hybrid machine learning method of characterizing energy band gap of doped zno semiconductor.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/newtonian-mechanics-based-hybrid-machine-learning-method-of-characterizing-energy-band-gap-of-doped-zno-semiconductor.
BibTeX @misc{4ortxyz_newtonian-mechanics-based-hybrid-machine-learning-method-of-characterizing-energy-band-gap-of-doped-zno-semiconductor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Newtonian mechanics based hybrid machine learning method of characterizing energy band gap of doped zno semiconductor}}, year = {2026}, url = {https://4ort.xyz/entity/newtonian-mechanics-based-hybrid-machine-learning-method-of-characterizing-energy-band-gap-of-doped-zno-semiconductor}, note = {Accessed: 2026-05-24}}
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