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Fusion, which promises practically unlimited, carbon-free energy using the same processes that power the sun, is at the heart of a worldwide research effort that could help mitigate climate change.
MIT expands research collaboration with Commonwealth Fusion Systems to build net energy fusion machine, SPARC（图）
英联邦聚变系统公司 能量聚变机 SPARC 聚变发电厂
2023/6/19
MIT’s Plasma Science and Fusion Center (PSFC) will substantially expand its fusion energy research and education activities under a new five-year agreement with Institute spinout Commonwealth Fusion S...
Machine learning, harnessed to extreme computing, aids fusion energy development（图）
机器学习 极限计算 聚变能源开发
2023/6/21
MIT research scientists Pablo Rodriguez-Fernandez and Nathan Howard have just completed one of the most demanding calculations in fusion science — predicting the temperature and density profiles of a ...
Probabilistic Turing Machine and Landauer Limit
Probabilistic Machine and Landauer Limit Mathematical Physics
2012/6/12
We show the equivalence between a probabilistic Turing machine and the time evolution of a one-dimensional Ising model, the Glauber model in one dimension, equilibrium positions representing the resul...
Muon Collider interaction region and machine-detector interface design
Muon Collider interaction region machine-detector interface design
2012/2/28
One of the key systems of a Muon Collider (MC) - seen as the most exciting option for the energy frontier machine in the post-LHC era - is its interaction region (IR). Designs of its optics, magnets a...
Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques
Hadron Collider using machine Fast supersymmetry phenomenology
2011/9/15
A pressing problem for supersymmetry (SUSY) phenomenologists is how to incorporate Large Hadron Collider search results into parameter fits designed to measure or constrain the SUSY parameters. Owing ...
Testing Machine for Expansive Mortar
Test Machine Expansive Mortar Instrumentation and Detectors
2011/8/1
Abstract: The correct evaluation of a material property is fundamental to, on their application; they met all expectations that were designed for. In development of an expansive cement for ornamental ...
We study a system of an elastic ball moving in the non-relativistic spacetime with a nontrivial
causal structure produced by a wormhole-based time machine. For such a system it is possible to
formul...
Experimental implementation of optimal phase-covariant quantum cloning machine with a single electron spin in diamond at room temperature
Experimental implementation optimal phase-covariant quantum cloning machine single electron spin diamond at room temperature
2010/10/19
Here we report an experimental realization of optimal phase-covariant quantum cloning machine
with a single electron spin in solid state system at room temperature. The involved three states of two l...
Swinging Atwood's Machine: Experimental and Theoretical Studies
Swinging Atwood Machine dynamic behaviour
2010/4/7
A Swinging Atwood Machine (SAM) is built and some experimental results concerning its dynamic behaviour are presented. Experiments clearly show that pulleys play a role in the motion of the pendulum, ...
Towards one machine, two purposes: using a common SC linac for XFEL and ERL simultaneously
electron linac XFEL ERL
2009/12/24
The linac based XFEL and ERL are advanced (or, say, 4th generation) light sources, with different electron beam parameters and different advantages. However, the linac used for XFEL and ERL should pro...
Discussion of Some Problems About Nonlinear Time Series Prediction Using ν-Support Vector Machine
ν-SVM nonlinear time series prediction
2007/8/15
2007Vol.48No.1pp.117-124DOI:
Discussion of Some Problems About Nonlinear Time Series Prediction Using ν-Support Vector Machine
GAO Cheng-Feng, CHEN Tian-Lun, and NAN Tian-Shi
...
Scheme for Implementing Quantum Cloning Restoring Machine in Cavity QED
quantum cloning quantum restoring machine cavity QED technique
2007/8/15
2007Vol.47No.2pp.244-246DOI:
Scheme for Implementing Quantum Cloning Restoring Machine in Cavity QED
YU Long-Bao,1 ZHANG Wen-Hai,1,2 and YE Liu1
1 School of Physics & M...
Discussion About Nonlinear Time Series Prediction Using Least Squares Support Vector Machine
least squares support vector machine nonlinear time series prediction clustering
2007/8/15
2005Vol.43No.6pp.1056-1060DOI:
Discussion About Nonlinear Time Series Prediction Using Least Squares Support Vector Machine
XU Rui-Rui, BIAN Guo-Xing, GAO Chen-Feng, and CHEN Tian...
Phase Space Prediction of Chaotic Time Series with Nu-Support Vector
Machine Regression
chaotic time series phase space prediction support vector machines
2007/8/15
2005Vol.43No.1pp.102-106DOI:
Phase Space Prediction of Chaotic Time Series with Nu-Support Vector
Machine Regression
YE Mei-Ying1 and WANG Xiao-Dong2
1 College of Mathem...