A5020949677- Additive Manufacturing and 3D Printing Technologies
- Tribology and Wear Analysis
- Manufacturing Process and Optimization
- Particle physics theoretical and experimental studies
- Scheduling and Optimization Algorithms
- Quantum Chromodynamics and Particle Interactions
- Lubricants and Their Additives
- Computational Physics and Python Applications
- Black Holes and Theoretical Physics
- Force Microscopy Techniques and Applications
- Adhesion, Friction, and Surface Interactions
KTH Royal Institute of Technology
2024
Beijing University of Technology
2024
Based on 58 million J/ψ events collected by the BES II detector at BEPC, → Λ π+π− is observed for first time. The branching fraction measured to be Br(J/ψ π+π−) = (4.30±0.13±0.99)×10−3, excluding decays intermediate states, namely Ξ−+, Σ(1385)−(1385)+, and Σ(1385)+(1385)−. fractions these resonance channels are be: Ξ−+) (0.90±0.03±0.18)×10−3, Σ(1385)−(1385)+) (1.23±0.07±0.30)×10−3, Σ(1385)+(1385)−) (1.50±0.08±0.38)×10−3, respectively. angular distribution of form ∝ (1 + αcos2θ) with α...
Additive Manufacturing (AM) has revolutionized the production landscape by enabling on-demand customized manufacturing. However, efficient management of dynamic AM orders poses significant challenges for planning and scheduling. This paper addresses scheduling problem considering batch processing, random order arrival machine eligibility constraints, aiming to minimize total tardiness in a parallel non-identical environment. To tackle this problem, we propose out-of-order enabled dueling...