ACoRI’s work is guided by three principles:
Human insight
New ideas typically begin with conceptual intuition, physical reasoning, or geometric pictures rather than with raw computation alone.
AI-assisted exploration
Large-scale symbolic manipulation, numerical experiments, and structural searches are delegated to advanced AI and computational tools, allowing rapid testing of ideas and early detection of errors or inconsistencies.
Rigour and transparency
Wherever possible, results are formulated in traditional mathematical language and proof structures, with a clear separation between conjecture, heuristic motivation, and fully rigorous argumentation. AI is treated as an amplifier of human reasoning, not a replacement for it.
We are aware of the limitations of current AI and computational systems—such as model biases, non-deterministic behaviour and potential for error—and therefore maintain human oversight at every stage, foster reproducibility of results and encourage scrutiny by the wider scholarly community.
ACoRI is currently evaluating a multi-LLM Super-Model approach. This methodology aims to enhance research reliability and scientific robustness. Implementation of the Super-Model concept will proceed only if empirical results demonstrate clear benefit relative to perceived increase in cost and workflow complexity.
The Advanced Computational Research Institute (ACoRI) is an independent research initiative dedicated to advancing mathematics and theoretical physics through AI-assisted analysis and high-performance computational methods.
ACoRI focuses on problems that are traditionally considered extremely hard or intractable, using modern computational tools to explore new structures, test conjectures, and build rigorous arguments more efficiently than is possible with human effort alone.
The institute’s work spans several frontier areas, including:
Clay Millennium Problems in mathematics and mathematical physics
Non-standard approaches to quantum field theory and spectral methods
Conceptual models for advanced space-transport systems and energy-space geometry
Entropy- and information-based views of cosmology and complex systems
ACoRI is based in Europe but operates as an online environmentally-friendly research hub, designed from the outset to integrate human intuition and intellect with mathematical rigour and AI-driven computation.
Founder
Andrew P. Whittaker B.Sc.
Senior Space Systems & Assurance Specialist
Independent Theoretical Physicist
Founder and Lead Researcher, ACoRI
Andrew P. Whittaker is a British-born space systems specialist and independent theoretical physicist with over twenty years of professional experience, including more than two decades living and working in Germany. His background spans mission Phases 0 to F in aerospace, including spacecraft engineering, spacecraft operations, space systems quality assurance, ground segment development, manned spaceflight experiments for the ISS, and technical management across complex space and aviation programmes. He is known for analytical rigour, strong systems thinking, and a long-standing commitment to high-integrity scientific and engineering practice.
He founded ACoRI to continue his pursuit of deep, high-impact scientific questions that sit at the frontier of mathematics, physics, and advanced computational modelling. His research is driven by the ambition to uncover foundational physical structure, explore unifying deterministic principles, tackle the Clay Millennium Problems through new spectral and geometric approaches, and develop original concepts such as the Curvature-Aligned Transport System (CATS). This work forms a synthesis of multiple theoretical strands aimed at revealing the underlying order in physical phenomena across scales.
Andrew has authored scientific monographs, technical manuscripts, and books in physics, complex systems, and aerospace topics, all of which contribute to ACoRI’s growing body of independent research. His long-term objective is to advance scientific understanding through a combination of disciplined analysis, creative theoretical development and AI-assisted and accelerated exploration. His research output is comparable in scope and depth to postgraduate and doctoral-level theoretical physics, with a focus on foundational questions and high-risk, high-reward scientific exploration.
ACoRI is open to dialogue and collaboration with academic researchers, research groups, and industry partners who are interested in AI-assisted approaches to difficult problems in mathematics and physics.
For enquiries, collaboration proposals or invitations to present work, please write to:
info@acori.eu