NASA Astrophysics Data System (ADS)
Makita, Yunosuke; Ootsuka, Teruhisa; Fukuzawa, Yasuhiro; Otogawa, Naotaka; Abe, Hironori; Liu, Zhengxin; Nakayama, Yasuhiko
2006-04-01
β-FeSi II defined as a Kankyo (Environmentally Friendly) semiconductor is regarded as one of the 3-rd generation semiconductors after Si and GaAs. Versatile features about β-FeSi II are, i) high optical absorption coefficient (>10 5cm -1), ii) chemical stability at temperatures as high as 937°C, iii) high thermoelectric power (Seebeck coefficient of k ~ 10 -4/K), iv) a direct energy band-gap of 0.85 eV, corresponding to 1.5μm of quartz optical fiber communication, v) lattice constant nearly well-matched to Si substrate, vi) high resistance against the humidity, chemical attacks and oxidization. Using β-FeSi II films, one can fabricate various devices such as Si photosensors, solar cells and thermoelectric generators that can be integrated basically on Si-LSI circuits. β-FeSi II has high resistance against the exposition of cosmic rays and radioactive rays owing to the large electron-empty space existing in the electron cloud pertinent to β-FeSi II. Further, the specific gravity of β-FeSi II (4.93) is placed between Si (2.33) and GaAs ((5.33). These features together with the aforementioned high optical absorption coefficient are ideal for the fabrication of solar cells to be used in the space. To demonstrate fascinating capabilities of β-FeSi II, one has to prepare high quality β-FeSi II films. We in this report summarize the current status of β-FeSi II film preparation technologies. Modified MBE and facing-target sputtering (FTS) methods are principally discussed. High quality β-FeSi II films have been formed on Si substrates by these methods. Preliminary structures of n-β-FeSi II /p-Si and p-β-FeSi II /n-Si solar cells indicated an energy conversion efficiency of 3.7%, implying that β-FeSi II is practically a promising semiconductor for a photovoltaic device.
Finding Edges and Lines in Images.
1983-06-01
34 UNCLASSI FlED , SECURITY CLASSIFICATION OF THIS PAGE ("osen Data Entered) READ INSTRUCTIONSREPORT DOCUMENTATION PAGE BEFORE COMPLETING FORM I. REPORT...PERFORMING ORGANIZATION NAME AND ADDRESS 10. PROGRAM ELEMENT. PROJECT. TASK Artificial Intelligence Laboratory AREA&WORKUNITNUMBERS 545 Technology Square...in the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the laboratory’s artificial intelligence research
Analysis of Covariance Computer Program with Multiple Covariates and Forecast Capability.
1982-04-30
Gout NUMo 0( t 222 0000.000145000.000 200,000 0.000 CASE OU14OSEN I GROUP 0U0[ 3477 ISO .00014SO00.000 200.000 0.000 CASE 0UP00( 97 GROUP PUNIER 3529...U00000 252 G5000 500515 2 .2535 ISO .000 70000.000 200 000 ’S 000 A -28 ~ ~ ~ . . .... . . . . .... . . . . . . . . . . . .. . . .. - r...27 .04001.0 .40474741.00 -.145102 - 4 27 .2600-0 .0600 0 .6644421-02 .2 275 . 27001 00.4307.00 -. 312011-0-2 -2 27 .40001.0 0 .402410100: -469476E-02 21
NASA Astrophysics Data System (ADS)
Asanuma, H.; Muraoka, H.; Tsuchiya, N.; Ito, H.
2013-12-01
isolated from the hydrothermal system. Discussions on exploration/monitoring of the BDT rock mass and JBBP reservoirs, and engineering development have been also made in the workshop. We finally identified scientific/technological challenges for the JBBP and established roadmap and implementation plan. The workshop report is available at http://jbbp.kankyo.tohoku.ac.jp/jbbp Conceptual model of the JBBP
1987-01-01
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