Prediction of low-temperature fracture resistance curves of unmodified and crumb rubber modified hot mix asphalt mixtures using a machine learning approach

2022 ◽  
Vol 314 ◽  
pp. 125332
Author(s):  
Sepehr Ghafari ◽  
Mehrdad Ehsani ◽  
Fereidoon Moghadas Nejad
Keyword(s):  
Machine Learning ◽  
Low Temperature ◽  
Fracture Resistance ◽  
Hot Mix Asphalt ◽  
Crumb Rubber ◽  
Asphalt Mixtures ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Temperature Fracture ◽  
Resistance Curves

Accelerated identification of high-performance catalysts for low-temperature NH3-SCR by machine learning

2021 ◽  
Author(s):  
Yi Dong ◽  
Yu Zhang ◽  
Mingchu Ran ◽  
Xiao Zhang ◽  
Shaojun Liu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Low Temperature ◽  
High Performance ◽  
Rapid Screening ◽  
Learning Approach ◽  
Scr Catalyst ◽  
Nh3 Scr ◽  
Machine Learning Approach

A machine learning approach for SCR catalyst discovery is presented to realize the rapid screening of optimal catalysts.

Advanced Aircraft Engine Microlaminated Intermetallic Composite Turbine Technology

1996 ◽  
Vol 434 ◽  
Author(s):  
R. G. Rowe ◽  
D. W. Skelly ◽  
M. R. Jackson ◽  
M. Larsen ◽  
D. Lachapelle
Keyword(s):  
Low Temperature ◽  
Fracture Resistance ◽  
Physical Vapor Deposition ◽  
Aircraft Engine ◽  
Internal Cooling ◽  
Fine Grain ◽  
Engine Thrust ◽  
Temperature Fracture ◽  
Resistance Curves ◽  
Higher Temperature

AbstractHigher gas path temperatures for greater aircraft engine thrust and efficiency will require both higher temperature gas turbine airfoil materials and optimization of internal cooling technology. Microlaminated composites consisting of very high temperature intermetallic compounds and ductile refractory metals offer a means of achieving higher temperature turbine airfoil capability without sacrificing low temperature fracture resistance. Physical vapor deposition, used to synthesize microlaminated composites, also offers a means of fabricating advanced turbine blade internal cooling designs. The low temperature fracture resistance of microlaminated Nb(Cr)-Cr2Nb microlaminated composites approached 20 MPa√m in fracture resistance curves, but the fine grain size of vapor deposited intermetallics indicates a need to develop creep resistant microstructures.

Suitable Tests and Machine Learning Approach to Predict Moisture Susceptibility of Hot-Mix Asphalt

2019 ◽  
Vol 145 (3) ◽  
pp. 04019030 ◽  
Author(s):  
Rajib B. Mallick ◽  
Nivedya Madankara Kottayi ◽  
Ram Kumar Veeraragavan ◽  
Eshan Dave ◽  
Christopher DeCarlo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Hot Mix Asphalt ◽  
Learning Approach ◽  
Moisture Susceptibility ◽  
Machine Learning Approach

1552-P: Machine Learning Approach to Decision-Making for Initial Insulin Use in Japanese Patients with Type 2 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1552-P
Author(s):  
KAZUYA FUJIHARA ◽  
MAYUKO H. YAMADA ◽  
YASUHIRO MATSUBAYASHI ◽  
MASAHIKO YAMAMOTO ◽  
TOSHIHIRO IIZUKA ◽  
...  
Keyword(s):  
Machine Learning ◽  
Type 2 Diabetes ◽  
Decision Making ◽  
Japanese Patients ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Insulin Use
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