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Title: Mechanical design parameters for detection of nuclear signals by magnetic resonance force microscopy

Conference ·
OSTI ID:10189267
; ; ; ; ; ; ; ;  [1];  [2]
  1. Los Alamos National Lab., NM (United States)
  2. Worcester Polytechnic Inst., MA (United States). Dept. of Mechanical Engineering

Recent theoretical work has shown that mechanical detection of magnetic resonance from a single nuclear spin is in principle possible. This theory has recently been experimentally validated by the mechanical detection of electron spin resonance signals using microscale cantilevers. Currently we are extending this technology in an attempt to detect nuclear signals which are extending this technology in an attempt to detect nuclear signals which are three orders of magnitude lower in intensity than electron signals. In order to achieve the needed thousand-fold improvement in sensitivity we have undertaken the development of optimized mechanical cantilevers and highly polarized samples. Finite element modeling is used as a tool to simulate cantilever beam dynamics and to optimize the mechanical properties including Q, resonant frequency, amplitude of vibration and spring constant. Simulations are compared to experiments using heterodyne hologram interferometry. Nanofabrication of optimized cantilevers via ion milling will be directed by the outcome of these simulations and experiments. Highly polarized samples are developed using a three-fold approach: (1) high magnetic field strength (2.5T), (2) low temperature (1K), and (3) use of samples polarized by dynamic nuclear polarization. Our recent experiments have demonstrated nuclear polarizations in excess of 50% in molecules of toulene.

Research Organization:
Los Alamos National Lab., NM (United States)
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
W-7405-ENG-36
OSTI ID:
10189267
Report Number(s):
LA-UR-93-2901; CONF-9308138-3; ON: DE94000810; TRN: 93:025444
Resource Relation:
Conference: 11. international invitational symposium on the unification of analytical, computational, and experimental solution methodologies,Danvers, MA (United States),18-20 Aug 1993; Other Information: PBD: [1993]
Country of Publication:
United States
Language:
English