114學年材料所-第八週 專題研討課程 演講公告 (114年10月30日)
2025.11.05
題目:
鋰離子電池矽基負極的整合式設計與階層化結構以提升效率及延長壽命
Integrative Design and Hierarchical Structuring of Silicon Anodes for Durable and High-Efficiency Lithium-Ion Batteries
演講者 : 鍾采甫(Tsai-Fu, Chung)
現職 : 國立陽明交通大學 材料科學與工程學系所 助理教授
時間: 114年 10月 30日(四) 3:20~4:00 pm
地點: 鋼構區(3F)共同教室A1302演講廳
演講摘要:
In this lecture, a comprehensive overview of microstructural evolution in metals and semiconductors, emphasizing the intrinsic link between processing pathways, structural development, and material properties has been provided. Age-hardenable aluminum alloys are presented as a central case study, from the seminal discovery of GP zones to advanced atomistic characterizations of η′/η precipitates in AA7050. The discussion highlights the role of habit planes, lattice correspondences, and distinct nucleation mechanisms—separated, sympathetic, and in-situ—in governing precipitation strengthening and the onset of over-ageing. Particular emphasis is placed on the hierarchical nature of precipitates, quantified by SAXS and resolved through Cs-corrected STEM/4D-STEM. Case studies further illustrate dynamic precipitation under cyclic plasticity and twin-assisted nano-hierarchical architectures in Fe-based high-entropy alloys, which offer promising routes to optimize the strength–ductility synergy. Beyond metallic systems, the lecture addresses microstructural control at SiGe/Si interfaces, within two-dimensional materials, and in GaN HEMTs through atomic layer etching, underscoring its central role in device reliability. Collectively, these examples establish an integrated paradigm—processing → microstructure → property—where advanced diffraction, spectroscopy, and imaging at sub-ångström resolution uncover transformation pathways, enable mechanism-informed models, and guide the rational design of both structural alloys and electronic thin films. The lecture concludes by outlining future directions on quantifying nano-hierarchical fractions and connectivity, linking microstructural descriptors to performance metrics, and implementing data-driven pipelines to accelerate materials discovery and technological deployment.
鋰離子電池矽基負極的整合式設計與階層化結構以提升效率及延長壽命
Integrative Design and Hierarchical Structuring of Silicon Anodes for Durable and High-Efficiency Lithium-Ion Batteries
演講者 : 鍾采甫(Tsai-Fu, Chung)
現職 : 國立陽明交通大學 材料科學與工程學系所 助理教授
時間: 114年 10月 30日(四) 3:20~4:00 pm
地點: 鋼構區(3F)共同教室A1302演講廳
演講摘要:
In this lecture, a comprehensive overview of microstructural evolution in metals and semiconductors, emphasizing the intrinsic link between processing pathways, structural development, and material properties has been provided. Age-hardenable aluminum alloys are presented as a central case study, from the seminal discovery of GP zones to advanced atomistic characterizations of η′/η precipitates in AA7050. The discussion highlights the role of habit planes, lattice correspondences, and distinct nucleation mechanisms—separated, sympathetic, and in-situ—in governing precipitation strengthening and the onset of over-ageing. Particular emphasis is placed on the hierarchical nature of precipitates, quantified by SAXS and resolved through Cs-corrected STEM/4D-STEM. Case studies further illustrate dynamic precipitation under cyclic plasticity and twin-assisted nano-hierarchical architectures in Fe-based high-entropy alloys, which offer promising routes to optimize the strength–ductility synergy. Beyond metallic systems, the lecture addresses microstructural control at SiGe/Si interfaces, within two-dimensional materials, and in GaN HEMTs through atomic layer etching, underscoring its central role in device reliability. Collectively, these examples establish an integrated paradigm—processing → microstructure → property—where advanced diffraction, spectroscopy, and imaging at sub-ångström resolution uncover transformation pathways, enable mechanism-informed models, and guide the rational design of both structural alloys and electronic thin films. The lecture concludes by outlining future directions on quantifying nano-hierarchical fractions and connectivity, linking microstructural descriptors to performance metrics, and implementing data-driven pipelines to accelerate materials discovery and technological deployment.