Sökning: "Zhao Wang"

Visar resultat 6 - 8 av 8 avhandlingar innehållade orden Zhao Wang.

  1. 6. Growth and Characterization of Strain-engineered Si/SiGe Heterostructures Prepared by Molecular Beam Epitaxy

    Författare :Ming Zhao; Wei-Xin Ni; Göran Hansson; Kang L. Wang; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Si SiGe; Strain engineering; Molecular beam epitaxy; THz; Quantum cascade; Strain relaxation; Materials science; Teknisk materialvetenskap;

    Sammanfattning : The strain introduced by lattice mismatch is a built-in characteristic in Si/SiGe heterostructures, which has significant influences on various material properties. Proper design and precise control of strain within Si/SiGe heterostructures, i.e. LÄS MER

  3. 7. Renewable Energy and Nutrient Valorization from Anaerobic Digestion : Resource-Efficient Solutions

    Författare :Sandra Carlos-Pinedo; Zhao Wang; Ola Eriksson; Shveta Soam; Henrik Wenzel; Högskolan i Gävle; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Solid-state anaerobic digestion; methane yield; digestate; systems analysis; modelling; life cycle assessment; Torrötning; metanutbyte; biogödsel; systemanalys; modellering; livscykelanalys;

    Sammanfattning : This thesis presents a comprehensive analysis aimed at understanding process performance, methane yield, and key influencing factors within the context of solid-state anaerobic digestion (SS-AD). SS-AD is used to treat organic material with high solids content, which can be challenging to address by alternative methods. LÄS MER

  4. 8. On large deviations and design of efficient importance sampling algorithms

    Författare :Pierre Nyquist; Henrik Hult; Sandeep Juneja; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Large deviations; Monte Carlo methods; importance sampling;

    Sammanfattning : This thesis consists of four papers, presented in Chapters 2-5, on the topics large deviations and stochastic simulation, particularly importance sampling. The four papers make theoretical contributions to the development of a new approach for analyzing efficiency of importance sampling algorithms by means of large deviation theory, and to the design of efficient algorithms using the subsolution approach developed by Dupuis and Wang (2007). LÄS MER