Materials Science Deep Dive into UAP Crash Retrieval Materials
Join the Materials Science mission, where cutting-edge analysis meets the mysteries of the unknown. This is a first-of-its-kind deep dive into the atomic-level composition of alleged UAP crash retrieval materials, featuring proprietary mass spectrometry data, publicly available for the first time.
Participants will have access to exclusive mass spectrometer readings, a generous open source donation from Dr. Garry Nolan and Dr. Jacque Vallee, providing an unparalleled opportunity to analyze the elemental and isotopic signatures of these anomalous materials. To augment the data and analyze it using AI for materials science techniques, Deep Prasad will be open sourcing and making available computational chemistry datasets from his work on AI for materials science and discovery.
Identify, interpret, and theorize the origins and properties of these samples using advanced computational and analytical tools including physics-informed neural networks for density functional theory and molecular dynamics. Leverage structural and chemical composition data of solid-state materials of interest. Apply functional analysis for Energy Source Identification, Signal analysis, and monitor its responses to stimuli using AI for quantum chemistry and multi-scale, multi-physics techniques.
Whether you’re a material scientist, data analyst, physicist, engineer, or AI researcher, bring your most rigorous scientific methods to one of the most debated frontiers in modern research. Compete, collaborate, and contribute to a historic open-source investigation that could redefine our understanding of exotic materials.
| Decipher mass spectrometry data and uncover anomalies
| Compare chemical composition and structural information to known terrestrial and non-terrestrial samples
| Develop new computational models for material classification
| Propose functional or exotic applications of these materials
| Experts in material science, chemistry, physics, and nanotechnology
| Data analysts skilled in mass spectrometry interpretation and AI modeling
| Engineers and researchers in aerospace, defense, and energy sectors
| Open-minded scientists eager to explore high-strangeness through empirical analysis
