The enormous leap in computational approaches with advances in experimental measurements over the past decades demonstrates vividly that this approach can play a key role in solving challenging research problems. Quantum mechanical-based calculations followed by Machine Learning (QM/ML) are ideal for guiding experiments to discover novel materials and understand the fundamental properties of the materials with technological advancements. The current status along with future plans and prospects will be highlighted, covering all the recent developments in First-Principles calculations, experiments, materials database and machine learning for materials will be discussed. The main objective of this meeting is to establish collaborations among theoreticians, experimentalists, and industry professionals by sharing ideas and results through poster and oral presentations.