Deadline Date: 30 June 2026
Background: The physical sciences have witnessed rapid progress through the integration of computational modeling and experimental investigation. With advances in computing power, data analytics, and experimental instrumentation, researchers can now simulate, predict, and validate complex physical phenomena with unprecedented precision. This synergy between computational and experimental approaches not only accelerates scientific discovery but also enables the design and optimization of materials, systems, and technologies across multiple disciplines.
Objectives: This special issue seeks to:
• Highlight the latest advancements in computational and experimental methods across the physical sciences.
• Bridge the gap between theory, modeling, and experimental validation.
• Encourage interdisciplinary collaboration between computational scientists and experimental researchers.
• Promote innovative applications of simulation and laboratory techniques in solving real-world scientific and engineering problems.
• Provide a platform for emerging trends such as machine learning, data-driven modeling, and multiscale simulations.
Topics: Potential topics include (but are not limited to):
• Computational and experimental thermodynamics
• Molecular dynamics and simulations
• Quantum and condensed matter physics
• Nanomaterials and nanoscale characterization
• Optical, electronic, and magnetic materials
• Fluid dynamics and transport phenomena
• Computational chemistry and spectroscopy
• Data-driven discovery and inverse design
• Advanced laboratory techniques and instrumentation
• Integration of simulation, data science, and experimental physics