Instrumentation and Detectors · Physics
The new FAST module: a portable and transparent add-on module for time-resolved investigations with commercial scanning probe microscopes
Carlo Dri, Mirco Panighel, Daniel Tiemann, Laerte L. Patera +10
2019-06-24
Machine Learning · Computer Science
FTuner: A Fast Dynamic Shape Tensors Program Auto-Tuner for Deep Learning Compilers
Pengyu Mu, Linquan Wei, Yi Liu, Rui Wang
2024-08-01
Machine Learning · Computer Science
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency
Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai +2
2025-10-27
Mesoscale and Nanoscale Physics · Physics
Mass transportation of thermally driven nanotube nanomotors with defects
Jige Chen, Yi Gao, Chunlei Wang, Renliang Zhang +2
2014-08-01
Instrumentation and Detectors · Physics
UCTM2: An updated User friendly Configurable Trigger, scaler and delay Module for nuclear and particle physics
O. Bourrion, B. Boyer, L. Derome, G. Pignol
2016-04-01
Materials Science · Physics
The MAterials Simulation Toolkit (MAST) for atomistic modeling of defects and diffusion
Tam Mayeshiba, Henry Wu, Thomas Angsten, Amy Kaczmarowski +4
2016-10-04
Signal Processing · Electrical Eng. & Systems
Plasma Switch-Based Technology for High-Speed and High-Power Impedance Tuning
Zach Vander Missen, Sergey Macheret, Abbas Semnani, Dimitrios Peroulis
2021-07-20
Applied Physics · Physics
Dynamic Tuning of Near-field Radiative Thermal Rectification
Fangqi Chen, Xiaojie Liu, Yanpei Tian, Yi Zheng
2020-06-01
Systems and Control · Computer Science
On-line direct data driven controller design approach with automatic update for some of the tuning parameters
Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara, Manfred Morari
2015-06-18
Accelerator Physics · Physics
Dynamic simulations in SixTrack
K. Sjobak, V. K. Berglyd Olsen, R. De Maria, M. Fitterer +5
2018-08-21
Mesoscale and Nanoscale Physics · Physics
Nanomechanics of CNTs for Sensor Application
C. Wagner, S. Hartmann, B. Wunderle, J. Schuster +2
2017-07-04
Machine Learning · Computer Science
Scenario-based Thermal Management Parametrization Through Deep Reinforcement Learning
Thomas Rudolf, Philip Muhl, Sören Hohmann, Lutz Eckstein
2024-08-06