| 1 |
Development and validation of artificial neural network models of the energy demand in the industrial sector of the United States
Kialashaki A, Reisel JR
Energy, 76, 749, 2014 |
| 2 |
Modeling of the energy demand of the residential sector in the United States using regression models and artificial neural networks
Kialashaki A, Reisel JR
Applied Energy, 108, 271, 2013 |
| 3 |
Modeling of nitric oxide formation in high-pressure premixed laminar ethane flames
Reisel JR
Combustion and Flame, 120(1-2), 233, 2000 |
| 4 |
Effects of mass flow rate and initial temperature on predictions of NO and OH from detailed chemical kinetics models
Reisel JR
Combustion Science and Technology, 160, 47, 2000 |
| 5 |
Laser-saturated fluorescence measurements of nitric oxide in an inverse diffusion flame
Partridge WP, Reisel JR, Laurendeau NM
Combustion and Flame, 116(1-2), 282, 1999 |
| 6 |
Trends of NO Formation in Low-Temperature Hydrocarbon Flames
Reisel JR
Combustion and Flame, 112(1-2), 275, 1998 |
| 7 |
Measurements and Modeling of Oh and No in Premixed C2H6/O-2/N-2 Flames at Atmospheric-Pressure
Reisel JR, Carter CD, Laurendeau NM
Energy & Fuels, 11(5), 1092, 1997 |
| 8 |
Exhaust and in-Situ Measurements of Nitric-Oxide in Laminar Partially Premixed C2H6-Air Flames - Effect of Premixing Level at Constant Burner Tube Flow-Rate
Kim TK, Alder BJ, Reisel JR, Laurendeau NM
Energy & Fuels, 10(5), 1060, 1996 |
| 9 |
Laser-induced fluorescence measurements of nitric oxide formation in high-pressure premixed methane flames
Klassen MS, Thomsen DD, Reisel JR, Laurendeau NM
Combustion Science and Technology, 111, 229, 1995 |
| 10 |
Quantitative LiF Measurements of Nitric-Oxide in Laminar High-Temperature Flames
Reisel JR, Laurendeau NM
Energy & Fuels, 8(5), 1115, 1994 |
