Wei Lin – författare

Modeling and Numerical Simulation of Proton Exchange Membrane Fuel Cells: Concept, Methods, and Challenges provides a concise guide to the modeling of PEM fuel cells. The book offers detailed methodologies, codes, and algorithms on every aspect of PEM fuel cells, from cold start to degradation. Chapters cover the development, basic principles, and components of PEM fuel cells, discuss the transport phenomena and mathematical formulation of macro-scale PEM fuel cell models, single cell and stack-level models, and model validation, and explain multi-phase transport modeling in PEM fuel cells, including different multiphase models like flow in gas flow channels, porous electrodes, and multi-phase model validation.The book also addresses multiphase mixture formulation, finite-volume, direct numerical simulation, Lattice Boltzmann, and pore network models, along with a section on modeling the cold start process of PEM fuel cells, including the non-isothermal transient cold start model, reduced-dimensional transient model, and the impact of different parameters on the cold start performance. Final sections cover the degradation and lifetime modeling of PEM fuel cells, including stress-induced degradation mechanisms, physics-based and data-driven modeling methods, and coupled performance-degradation models. Finally, recent progress on multi-scale and multi-dimensional modeling of PEM fuel cells, including micro and nano-scale modeling and multi-scale coupled models, is covered.

This book presents the latest advances and research achievements in the fields of autonomous robots and intelligent systems, presented at the IAS-16 conference, conducted virtually in Singapore, from 22 to 25 June 2021. IAS is a common platform for an exchange and sharing of ideas among the international scientific research and technical community on some of the main trends of robotics and autonomous systems: navigation, machine learning, computer vision, control, and robot design—as well as a wide range of applications. IAS-16 reflects the rise of machine learning and deep learning developments in the robotics field, as employed in a variety of applications and systems. All contributions were selected using a rigorous peer-reviewed process to ensure their scientific quality. Despite the challenge of organising a conference during a pandemic, the IAS biennial conference remains an essential venue for the robotics and autonomous systems community ever since its inception in 1986.

Chapters 46 of this book is available open access under a CC BY 4.0 license at link.springer.com

A total of 15 papers were carefully reviewed and selected from 18 submissions. The main conference focuses on theoretical advances or practical implementations in image and video technology.

Magnetotactic bacteria (MTB) synthesize intracellular nano-sized minerals of magnetite and/or greigite magnetosomes for magnetic orientation. They play important roles in global iron cycling and sedimentary magnetism, and have a broad range of potential applications in both biotechnological and biomedical fields. However, because the majority of MTB in nature remain unculturable, our understanding of these specific bacteria remains fairly limited. This thesis describes the development of a novel approach for effectively collecting, purifying and characterizing uncultivated magnetotactic bacteria. The diversity, genomic information and rock magnetic properties of various uncultivated MTB are investigated and characterized using a combination of biological and geophysical methods. The results will lead to a better understanding of the biogeography and biomineralization mechanisms of MTB in nature, and improve our knowledge of the contributions of MTB to biogeochemical cycles of elements and sedimentary magnetism.  

Dr. Wei Lin works at the Institute of Geology and Geophysics, Chinese Academy of Sciences, China