Jian Lu

Jian Lu is affiliated with Nanjing University in China and specializes in the field of Engineering, with a focus on Electrical and Electronic Engineering, Computational Mechanics, Mechanical Engineering, Materials Chemistry, and Mechanics of Materials. Their scholarly work spans a variety of topics including Laser Material Processing Techniques, Advanced Memory and Neural Computing, Laser-induced Spectroscopy and Plasma, Ocular and Laser Science Research, Ultrasound and Cavitation Phenomena, Surface Roughness and Optical Measurements, and Neural Dynamics and Brain Function.

Their recent publications explore various areas of materials science and neural computing. Significant papers include "Hybrid memristor-CMOS neurons for in-situ learning in fully hardware memristive spiking neural networks," published in Science Bulletin in 2021; "Implementing in-situ self-organizing maps with memristor crossbar arrays for data mining and optimization," appearing in Nature Communications in 2022; "Additively manufactured fine-grained ultrahigh-strength bulk aluminum alloys with nanostructured strengthening defects," released in Materials Today in 2024; "Direct Photolithography Patterning of Quantum Dot-Polymer," published in Advanced Functional Materials in 2023; and "Uncertainty of EIN2Ser645/Ser924 Inactivation by CTR1-Mediated Phosphorylation Reveals the Complexity of Ethylene Signaling," featured in Plant Communications in 2020.

Jian Lu collaborates frequently with several coauthors, including Hongchao Zhang, Xumeng Zhang, Qi Liu, and Zhonghua Shen.

Their research contributions have appeared in various scientific venues, with multiple publications in sources such as arXiv (Cornell University), Optics Express, Science Bulletin, Physics of Fluids, and SSRN Electronic Journal.

Jian Lu's body of work reflects interdisciplinary approaches combining engineering, materials science, and neural computing technologies with practical applications in laser and ultrasound techniques, as well as advanced memory systems.

• Hybrid memristor-CMOS neurons for in-situ learning in fully hardware memristive spiking neural networks, 2021, Science Bulletin
• Implementing in-situ self-organizing maps with memristor crossbar arrays for data mining and optimization, 2022, Nature Communications
• Additively manufactured fine-grained ultrahigh-strength bulk aluminum alloys with nanostructured strengthening defects, 2024, Materials Today
• Direct Photolithography Patterning of Quantum Dot-Polymer, 2023, Advanced Functional Materials
• Uncertainty of EIN2Ser645/Ser924 Inactivation by CTR1-Mediated Phosphorylation Reveals the Complexity of Ethylene Signaling, 2020, Plant Communications

• Hongchao Zhang
• Xumeng Zhang
• Qi Liu
• Zhonghua Shen

• arXiv (Cornell University)
• Optics Express
• Science Bulletin
• Physics of Fluids
• SSRN Electronic Journal

• Laser Material Processing Techniques
• Advanced Memory and Neural Computing
• Laser-induced spectroscopy and plasma
• Ocular and Laser Science Research
• Ultrasound and Cavitation Phenomena
• Surface Roughness and Optical Measurements
• Neural dynamics and brain function