Physics, Integrated Circuit Devices & Physics
Shaoxing University. Current research direction: neuromorphic devices, emerging dielectrics, and AI-assisted semiconductor research.
绍兴大学 2025 级物理学研究生，研究方向为集成电路器件与物理，聚焦神经形态器件与新型介质材料。
Neuromorphic Devices / IC Device Physics / AI-assisted Research
Leo Lou
A 2025 physics graduate researcher at Shaoxing University, focused on neuromorphic devices, emerging dielectrics, and AI-assisted semiconductor research.
绍兴大学 2025 级物理学研究生，聚焦神经形态器件、新型栅介质与 AI 辅助半导体科研。
LAB MODE
Neuromorphic Devices
Current focus
SXU 2025 Graduate
Emerging memory
Semiconductor career track
Positioning
A research profile built for academia, semiconductor teams, and long-term career visibility.
Leo Lou works at the intersection of physics, integrated-circuit device research, and AI-assisted scientific workflows. The profile frames his work through research questions, device concepts, and the transferable toolkit he is building for semiconductor industry roles.
Leo Lou 的研究定位连接物理学、集成电路器件与 AI 辅助科研，重点呈现研究方向、器件思维与面向半导体产业的可迁移能力。
Education & coursework
Shaoxing University foundation in microelectronics and device physics.
本科毕业于绍兴大学微电子相关专业方向，目前为绍兴大学 2025 级物理学研究生，研究方向为集成电路器件与物理。
Microelectronics Science and Engineering
Shaoxing University. Undergraduate training established the circuit, semiconductor, process, layout, and testing foundation for device-oriented research.
本科阶段完成微电子科学与工程相关训练，形成电路、半导体物理、工艺、版图与测试基础。
半导体物理、半导体器件物理、高等量子力学、薄膜物理。
集成电路工艺原理、集成电路工艺实验、集成电路制造、半导体器件封装。
电路分析基础、数字电子技术、电子线路、EDA 技术、集成电路版图设计。
半导体光电材料、光伏器件与技术、集成电路分析测试技术。
Operating modes
A hybrid research identity
Click a mode to view Leo from an academic, technical, or industry-facing lens.
01
Neuromorphic device researcher
Focused on emerging memory devices, ion-regulated interfaces, and artificial-synapse-oriented device concepts within integrated circuit device physics.
Research layer
Emerging device concepts for low-power memory and future computing hardware.
研究主线围绕神经形态存储、离子调控界面与可持续器件材料展开，面向低功耗存储与未来计算硬件的器件探索。
Neuromorphic memory
Exploring device behaviors that move beyond binary storage toward synapse-inspired response, adaptive modulation, and low-power computing relevance.
类突触响应、多态调控与低功耗存储相关器件行为。
Ion-regulated interfaces
Studying how electrolyte and bio-derived dielectric systems may enable stronger interfacial modulation and richer device response.
电解质与生物衍生介质对界面调控和器件响应的影响。
Sustainable device materials
Considering environmentally conscious, low-cost, flexible, and process-accessible materials as part of the next generation of electronic devices.
绿色、低成本、柔性兼容与工艺可接近的新型材料体系。
SXUShaoxing University physics graduate researcher
NVMNon-volatile memory and artificial synapse direction
AIAI-assisted literature, planning, and analysis workflow
ICIntegrated circuit device physics career track
Current projects
Project value for emerging device research.
The projects are presented through research problems, device-level advantages, and potential application value, with emphasis on material-device coupling, ion modulation, sustainability, and process accessibility.
Experimental toolkit
Hands-on skills across fabrication, characterization, and materials analysis.
覆盖薄膜制备、电学测试与 SEM / XPS / XRD 等材料表征，可服务于器件研发、PIE 与工艺 PE 相关岗位。
Film and device fabricationSpin coating, vacuum evaporation, magnetron sputtering, ALD
Electrical characterizationProbe station, semiconductor parameter analyzer, I-V response analysis
Material and surface analysisSEM, XPS, XRD, thin-film and interface-aware interpretation
Published recordRelated Nano Letters publication linked below
Publication
Related published work
Related article associated with Leo Lou's research record.
A published Nano Letters article is linked here as part of the public academic record. Title, author order, and contribution notes can be added after final confirmation.
已发表相关论文可作为公开学术记录展示；后续可补充题名、作者位置与个人贡献说明。
DOI: 10.1021/acs.nanolett.5c05834Career direction
A physics-trained device researcher targeting Device R&D, PIE, and Process Engineering roles.
职业目标聚焦器件研发、工艺整合工程（PIE）与工艺工程（PE），以物理背景和器件研究能力作为核心竞争力。
Device R&D
Emerging memory, neuromorphic devices, dielectric systems, electrical response analysis, and device physics interpretation.
PIE
Process integration thinking across thin films, dielectric stacks, interface behavior, device response, and materials-informed troubleshooting.
Process PE
Hands-on familiarity with spin coating, evaporation, sputtering, ALD, probe-station measurement, and parameter-analysis workflows.
Resume
One-page resumes for semiconductor applications.
Two resume versions are available: a Chinese version for domestic semiconductor applications and an English version for international or bilingual contexts.