| Sl No. | Title of Paper | Paper Read Link |
|---|---|---|
| 1 | Machine learning product state distributions from initial reactant states for a reactive atom–diatom collision system | Read Paper |
| 2 | Collision cross sections and nonequilibrium viscosity coefficients of N2 and O2 based on molecular dynamics | Read Paper |
| 3 | Potential Energy Surface for H3 | Read Paper |
| 4 | Exchange Reactions with Activation Energy. I. Simple Barrier Potential for (H,H2) | Read Paper |
| 5 | Dissociation and internal excitation of molecular nitrogen due to N + N2 collisions using direct molecular simulation | Read Paper |
| 6 | Vibrational energy transfer and dissociation in O2–N2 collisions at hyperthermal temperatures | Read Paper |
| 7 | Rovibrational energy transfer and dissociation in O2–O collisions | Read Paper |
| 8 | Understanding the difficulty of training deep feed-forward neural networks | Read Paper |
| 9 | Comparison of potential energy surface and computed rate coefficients for N2 dissociation | Read Paper |
| 10 | Vibrational favoring effect in dsmc dissociation models | Read Paper |
| 10 | Vibrational favoring effect in dsmc dissociation models | Read Paper |
| 11 | Neural network architectures and learning algorithms | Read Paper |