Real-time control of HgCdTe growth by organometallic vapor phase epitaxy using spectroscopic ellipsometry

1995 ◽  
Vol 24 (9) ◽  
pp. 1087-1091 ◽  
Author(s):  
Srikanteswara Dakshina Murthy ◽  
Ishwara Bhat ◽  
Blaine Johs ◽  
Shakil Pittal ◽  
Ping He
1995 ◽  
Vol 24 (5) ◽  
pp. 445-449 ◽  
Author(s):  
S. Dakshina Murthy ◽  
I. B. Bhat ◽  
B. Johs ◽  
S. Pittal ◽  
P. He

1992 ◽  
Vol 242 ◽  
Author(s):  
J. Iacoponi ◽  
L. B. Bhat ◽  
B. Johs ◽  
J.A. Woollam

ABSTRACTSpectroscopie ellipsometry is a well developed technique for studying the semiconductor materials and heterostructures. Here, we have applied this technique to in-situ studies of ZnSe and ZnCdSe growth in a low pressure organometallic vapor phase epitaxy system. The growth of ZnSe on GaAs was studied using a light source in the range 2 to 4 eV, and film thickness of a few tens of angstroms could be monitored by this technique. The band gap and the composition of Zn1-χCdχSe could also be measured as a function of real time. It was found that, for a gas phase DMCd composition of 60%, the amount of Cd incorporated in the layers is less than 25%. Spectroscopie ellipsometry is demonstrated to be a valuable technique for in-situ monitoring of semiconductor growth in organometallic vapor phase epitaxy systems.


1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.


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