Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Junqiang Lu

Showing results (1-10 of 20) with videos related to

Pageof 2
Sort By:
Nanotechnology|September 27, 2020
Anisotropic and gate-tunable valley filtering based on 8-Pmmn boropheneJianlong Zheng, Junqiang Lu, Feng Zhai
Sensors (Basel, Switzerland)|March 30, 2023
Experimental Study on the Azimuthal-Transmitting Transducer of Acoustic LoggingJunqiang Lu, Baiyong Men, Xiaohua Che
The Journal of Chemical Physics|December 16, 2011
Annular wave packets at Dirac points in graphene and their probability-density oscillationJi Luo, Daniel Valencia, Junqiang Lu
Sensors (Basel, Switzerland)|June 13, 2017
Acoustic Emission and Echo Signal Compensation Techniques Applied to an Ultrasonic Logging-While-Drilling CaliperYongchao Yao, Xiaodong Ju, Junqiang Lu, et al.
Sensors (Basel, Switzerland)|April 28, 2023
Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging DetectorHongzhi Chen, Junqiang Lu, Xiaodong Ju, et al.
Sensors (Basel, Switzerland)|February 13, 2025
Design of a Multi-Node Data Acquisition System for Logging-While-Drilling Acoustic Logging Instruments Based on FPGAZhenyu Qin, Junqiang Lu, Baiyong Men, et al.
Sensors (Basel, Switzerland)|December 28, 2021
Design of a New Seismoelectric Logging InstrumentLiangchen Zhang, Xiaodong Ju, Junqiang Lu, et al.
Sensors (Basel, Switzerland)|July 28, 2019
Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology FusionXiaolong Hao, Xiaodong Ju, Junqiang Lu, et al.
Physical Review Letters|September 27, 2017
Ultrafast Excited-State Dynamics of V_{3}O_{5} as a Signature of a Photoinduced Insulator-Metal Phase TransitionNardeep Kumar, Armando Rúa, Junqiang Lu, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 21, 2023
Physics-supervised deep learning-based optimization (PSDLO) with accuracy and efficiencyXiaowen Li, Lige Chang, Yajun Cao, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Nanotechnology|September 27, 2020
Anisotropic and gate-tunable valley filtering based on 8-Pmmn boropheneJianlong Zheng, Junqiang Lu, Feng Zhai
Sensors (Basel, Switzerland)|March 30, 2023
Experimental Study on the Azimuthal-Transmitting Transducer of Acoustic LoggingJunqiang Lu, Baiyong Men, Xiaohua Che
The Journal of Chemical Physics|December 16, 2011
Annular wave packets at Dirac points in graphene and their probability-density oscillationJi Luo, Daniel Valencia, Junqiang Lu
Sensors (Basel, Switzerland)|June 13, 2017
Acoustic Emission and Echo Signal Compensation Techniques Applied to an Ultrasonic Logging-While-Drilling CaliperYongchao Yao, Xiaodong Ju, Junqiang Lu, et al.
Sensors (Basel, Switzerland)|April 28, 2023
Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging DetectorHongzhi Chen, Junqiang Lu, Xiaodong Ju, et al.
Sensors (Basel, Switzerland)|February 13, 2025
Design of a Multi-Node Data Acquisition System for Logging-While-Drilling Acoustic Logging Instruments Based on FPGAZhenyu Qin, Junqiang Lu, Baiyong Men, et al.
Sensors (Basel, Switzerland)|December 28, 2021
Design of a New Seismoelectric Logging InstrumentLiangchen Zhang, Xiaodong Ju, Junqiang Lu, et al.
Sensors (Basel, Switzerland)|July 28, 2019
Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology FusionXiaolong Hao, Xiaodong Ju, Junqiang Lu, et al.
Physical Review Letters|September 27, 2017
Ultrafast Excited-State Dynamics of V_{3}O_{5} as a Signature of a Photoinduced Insulator-Metal Phase TransitionNardeep Kumar, Armando Rúa, Junqiang Lu, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 21, 2023
Physics-supervised deep learning-based optimization (PSDLO) with accuracy and efficiencyXiaowen Li, Lige Chang, Yajun Cao, et al.
Pageof 2