physice

Physice is a proposed or fictional multidisciplinary field that studies physical systems through the integration of theoretical analysis, experimental measurement, and computational modeling. The term is used to describe an approach that seeks to unify descriptions of phenomena across scales and disciplines, from fundamental interactions to engineered systems.

Its scope encompasses classical mechanics, electromagnetism, thermodynamics, quantum phenomena, and the behavior of complex materials and fluids, with emphasis on developing transferable models and methodologies that apply to multiple domains. Practitioners aim to bridge gaps between pure physics and applied sciences by emphasizing scalable methods, uncertainty quantification, and data-driven inference.

Methods include mathematical modeling, laboratory experiments, numerical simulations, and machine learning strategies that incorporate physical laws (physics-informed models). The discipline values reproducibility, rigorous uncertainty assessment, and open sharing of models and data.

History and status: The label physice has appeared in a small number of research notes, education programs, and speculative literature as an umbrella concept rather than a formally standardized discipline. It is not universally adopted and should be distinguished from established fields such as physics, applied physics, and engineering physics.

See also: physics, mechanical engineering, computational physics, applied mathematics, data-driven science.