ABOUT

Science is entering a new era, where how we discover matters as much as what we study. I founded NanoTRIZ to move beyond slow trial-and-error and siloed thinking like nanotechnology, and to make invention systematic, ethical, reproducible, and execution-driven. NanoTRIZ is a global, independent, private Deep Tech Research Organization operating from Australia—built as a method-first Meta-Institute. We evolve TRIZ into a next-generation Theory of Discoveries, combining TRIZ logic with ethical AI to map research landscapes, expose high-leverage gaps, formalize contradictions, and turn uncertainty into testable hypotheses and verifiable outputs. NanoTRIZ runs as professor-led Research Tracks, not departments: defined templates, milestones, and deliverables, supported by Capability Hubs (landscaping, visualization, modeling, reproducibility, IP). We serve Fellows (project-based research meta-skills and real artifacts), Academics (structured collaboration toward grant-ready and publishable work), and Industry Partners (evidence-based roadmaps and innovation sprints with clear decision points and optional confidentiality).

OUR EVOLUTION: BEYOND CLASSICAL TRIZ
We honor Genrich Altshuller’s contribution, but we do not stop there. Classical TRIZ was a revolution for engineering, resolving contradictions in static systems. However, the 21st century presents challenges that are dynamic, data-rich, and deeply fundamental. NanoTRIZ extends the vision of invention science. We are evolving TRIZ into a "Theory of Discoveries"—a next-generation framework purpose-built for AI-accelerated, interdisciplinary environments. We do not just solve engineering problems; we map scientific landscapes to uncover critical knowledge gaps and propose novel solutions.

OUR MANDATE: A META-INSTITUTE
NanoTRIZ is not an institute about what to think—it is a hub about how to think. We are a methodology-first innovation framework that empowers researchers to transcend disciplinary boundaries. NanoTRIZ™ Innovation Institute is a global, independent, private research-and-education initiative founded by Professor Alexander A. Solovev and operated from Australia. The Institute delivers methodology-first research capability building, combining supervised, milestone-driven projects with ethical AI workflows and reproducible research standards.

FOUNDER’S STORY: Engineering the Future of Discovery
The world of science is shifting from “accidental discovery” to “engineered invention.” After leading and collaborating on research across institutions such as Harvard, Max Planck, and Fudan University, Professor Solovev concluded that building yet another lab that simply “looks deeper into the nanometers” is no longer sufficient. The bottleneck is not the topic of science—it is the method.

Many breakthroughs stall not because scientists lack talent, but because the path from uncertainty to a defensible industrial result is slowed by fragmented evidence, siloed thinking, and expensive trial-and-error. NanoTRIZ was established to repair this mechanism. We operate as an Innovation Engine: integrating ethical AI tools with the rigorous logic of TRIZ to turn invention into a reproducible, scalable, execution-driven process. NanoTRIZ is a hub not for what to think, but how to resolve contradictions that stall progress. Whether you are an industry leader seeking a breakthrough or a researcher building capability, NanoTRIZ advances a new paradigm: intelligent, ethical, and relentlessly focused on verifiable results.

WHO WE ARE

NanoTRIZ Innovation Institute is a global, independent Deep Tech Research Organization based in Australia. We do not operate as a traditional university unit. Instead, we function as a specialized R&D Accelerator designed to bridge the critical gap between academic science and industrial application. We combine the rigour of world-class research with the speed of disciplined engineering execution, converting uncertainty into verifiable technical assets.

WHY NANOTRIZ EXISTS

Classical TRIZ—originating from Genrich Altshuller’s systematic study of inventions and patents—remains powerful for structured problem solving in engineered systems. However, modern discovery increasingly takes place in environments that are interdisciplinary, data-rich, and workflow-driven: literature-scale evidence, complex simulations, algorithmic experimentation, rapidly evolving tools, and fast iteration cycles. In practice, purely heuristic or static approaches often struggle to keep pace with nonlinear exploration, evidence-tracing, and AI-accelerated research loops.

NanoTRIZ extends the spirit of TRIZ into a next-generation discovery framework: a method-first approach designed to identify underexplored directions, map research landscapes, surface critical gaps, and turn uncertainty into testable hypotheses and verifiable outputs—with strong standards for integrity, reproducibility, and responsible AI use.

OUR PHILOSOPHY: METHOD OVER TOPIC

Traditional R&D is often slowed by trial-and-error and “siloed” thinking. NanoTRIZ is built on a different premise: the next transformation in science will be driven not only by new topics and new materials, but by better architectures of discovery—how questions are selected, how evidence is organized, how contradictions are formalized, how baselines are set, how uncertainty is handled, and how workflows remain reproducible.
We engineer repeatable invention workflows by combining TRIZ-based contradiction logic with AI-assisted evidence mapping and documentation standards that make work defensible. We do not wait for “eureka moments.” We design systems that make insights more likely, more testable, and more transferable.

NanoTRIZ is organized as a portfolio of professor-led Research Tracks rather than traditional departments. Each Track is an offer: a defined research direction with clear project templates, milestones, and deliverables. Fellows are matched to Tracks through structured profiling of interests, skills, and constraints, ensuring that every participant works on a feasible, output-oriented pathway. Cross-cutting Capability Hubs (landscaping, visualization, modeling, reproducibility, IP) support all Tracks to maintain consistent quality across disciplines.
 
WHAT WE DO

NanoTRIZ operates as a method-first research engine. We start from an important uncertainty (a research gap, paradox, or weakly explained phenomenon) and build the shortest rigorous path from evidence to testable hypotheses, validation plans, and outputs.

Core directions include:

• Research gap and opportunity discovery: literature-scale mapping, gap detection, baseline comparison, and identification of weakly supported or missing mechanisms.

• Evidence-traceable research planning: converting broad ideas into precise questions, measurable endpoints, and milestone roadmaps.

• Reproducible workflows: audit-ready documentation, transparent assumptions, reproducible analysis habits, and clear separation between hypotheses and validated claims.

• Ethical AI acceleration: using AI to speed synthesis and drafting while preserving verification, ownership, attribution, and research integrity.

• Science-to-prototype translation (when relevant): moving from mechanism → metrics → constraints → validation → prototype pathway.

 
WHAT WE DELIVER: A DUAL-TRACK ENGINE (INDUSTRY + TALENT)

NanoTRIZ is structured as a dual-track engine serving both industry innovation and capability building:

For Industry Partners
We act as a tactical R&D unit. We map research landscapes, surface high-leverage gaps, and execute rapid prototyping sprints to solve well-defined engineering contradictions. Deliverables are designed to be transfer-ready: validated mechanisms, benchmarked options, reproducible datasets, and patent-ready disclosures.

For Research Fellows
We provide a research-grade ecosystem that replaces passive learning with milestone-driven projects. Fellows are trained to produce reproducible, defensible, and patentable outputs—technical reports, benchmarked results, reproducible notebooks, preprints/manuscripts, and invention disclosures—under supervision and documentation standards.

WHAT MAKES NANOtriz DIFFERENT (ADVANTAGES)

• Merit-based selection with verifiable signals: applicants are evaluated on evidence—portfolio links, prior outputs, skills with proof, and a realistic 6–12 month delivery plan.

• Outputs-first model (not “course completion”): progress is measured by artifacts: literature maps, reproducible notebooks, benchmarked results, technical reports, publication-ready manuscripts, and invention disclosures.

• Research-grade standards, even for beginners: explicit assumptions, baselines, uncertainty handling, method transparency, disciplined claims.

• Method + tools + mentorship in one pipeline: structured workflows, milestone reviews, and documentation rules that make work defensible.

• Discipline-agnostic structure: the method transfers across domains while preserving one shared integrity standard and discovery system.

 
CORE COMPETENCE CENTERS
 
Our expertise is organized into specialized domains where we hold deep competitive advantages and can deliver high-precision outputs:

• Advanced Materials & Nanotech: strain-engineered membranes, functional coatings, and device-relevant material systems.

• Robotics & Micro-Machines: autonomous systems, catalytic micro/nanomachines, and non-equilibrium physics in solution.

• Energy & Environment: catalytic systems and electrochemical/energy-relevant material pathways.

• AI for Science (SciViD): evidence mapping, gap detection, reproducible workflows, and research communication pipelines.

 
DIVISIONS AND SUPERVISION MODEL
 
NanoTRIZ uses the term Division (rather than “Faculty”) to reflect its non-university structure. Divisions function as research tracks and mentorship ecosystems. Supervisors and mentors are onboarded progressively; availability may vary by division.
 
Example divisions include:
Computing • Science • Engineering • Life & Health (Research & Technology) • Energy & Environment • Methods & Systems • Communication & Media • Innovation & Entrepreneurship • Society & Policy
 
RESEARCH PROGRAMS (EXAMPLES)
 
Programs reflect long-term themes and evolve as supervisors, collaborations, and resources expand. Examples include:

• Strain-engineered nanomembranes and reconfigurable device concepts

• Catalytic micro/nanomachines and non-equilibrium motion in solution

• Microfluidic droplets/capsules and adaptive functional systems

• AI-assisted literature intelligence, gap mapping, and reproducible research workflows
  (Programs are presented as thematic directions, not as accredited curricula.)

 
THE NANOTRIZ RESEARCH FELLOWSHIP (REMOTE | SELECTIVE)
 
NanoTRIZ runs a selective fellowship open to senior high school students, university students, and advanced researchers (PhD/postdocs). Participation may be remote, but the Fellowship operates with research-group expectations: merit selection, milestone delivery, and verifiable outputs.

Fellows may receive:

• structured mentorship and review cycles

• access to workflow infrastructure (dashboards, templates, research logs)

• self-paced modules paired with tasks that feed directly into deliverables

• certificates and (when earned) reference letters reflecting demonstrated work

Not a degree program: NanoTRIZ is not a university and does not award government-accredited academic degrees or nationally recognized qualifications. We build capability, technical assets, and professional trajectories.
 
GOVERNANCE & STANDARDS

Research Integrity
We adhere to high standards of reproducibility and research integrity. Methods and evidence are treated as the core scientific instrument. Workflows demand explicit assumptions, transparent data practices, and ethical AI use with clear attribution.

Responsible boundaries
NanoTRIZ maintains strict boundaries: no “paper selling,” no guaranteed admissions outcomes, transparent attribution and anti-plagiarism expectations, ethical AI use with verification and clear ownership, and the right to revoke affiliation if misused or misrepresented.

LEGAL STATUS & OPERATIONAL SCOPE

Corporate Registration & Collaboration NanoTRIZ® Innovation Institute is officially registered under the Australian Securities and Investments Commission (ASIC) and operates as a recognized business entity with a valid Australian Business Number (ABN). We are fully authorized to enter into agreements, joint research initiatives, and innovation schools with accredited universities and research organizations worldwide, complying with applicable laws in Australia and partner jurisdictions.

Educational Nature & Independence NanoTRIZ is an independent Deep Tech Research Organization focused on industrial deliverables, IP generation, and technology roadmaps. Distinct from traditional universities, we prioritize speed-to-market and technical precision over academic degree granting.

• We operate outside the slow constraints of government accreditation to maintain the agility required for bleeding-edge innovation.

• We do not issue government-accredited diplomas.

• We build careers, portfolios, and technologies.

PILOT STATUS AND PHASED RELEASE

NanoTRIZ systems are being released in phases. Some tools may operate in pilot mode with limited access and progressively released features.
Pilot phase • Limited access • Features released progressively
 
LEADERSHIP

NanoTRIZ was founded by Professor Alexander A. Solovev, Founding Director. With over two decades of leadership and collaboration across world-class institutions, he brings a distinctive fusion of fundamental physics and inventive engineering focused on method-first discovery systems and execution-driven innovation pathways.

Selected previous affiliations: Harvard University (USA), Columbia University in the City of New York (USA), University of Toronto (Canada), TU Munich (Germany), Fudan University (P. R. China), IFW Dresden (Germany), Max Planck Institute (Germany), University of Queensland (Australia).
Listed for background; NanoTRIZ is an independent institute.

LEGAL STATUS AND OPERATIONS (AUSTRALIA)

NanoTRIZ Innovation Institute operates in Australia with an active Australian Business Number (ABN 60 349 600 938) held by Alexander Aleksandrovic Solovev (Individual/Sole Trader), active since 2 Dec 2024.

The business name “NANOTRIZ INNOVATION INSTITUTE” is recorded on the national Business Names Register (administered via ASIC systems) from 7 Aug 2025.

Clarification: in Australia, an ABN identifies the legal entity for tax/business purposes, while a business name is the trading name registered on the national register.

CONTACT AND AFFILIATION FORMAT

Professor Alexander SolovevFounding Director, NanoTRIZ Innovation Institute Headquartered in Australia | Global OperationsDrawing on decades of experience at world-class institutions: Harvard University (USA) • Columbia University (USA) • TU Munich (Germany) • Leibniz Institute (Germany) • Fudan University (PRC) • Max Planck Institute (Germany)

For partnerships, research collaboration, training/workshops, and media: founder@nanotriz.com
Suggested affiliation: NanoTRIZ Innovation Institute, QLD 4101, Brisbane, Australia