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Natural Science

OVERVIEW: From Atomic Precision to Industrial Application: AI-Accelerated R&D. This division functions as a specialized Deep Tech R&D Unit available for industrial partnership. We combine Prof. Solovev’s world-class expertise in strain-engineered nanomembranes and micro-robotics with our proprietary AI Invention Engine to solve critical material constraints.

Unlike academic departments focused on theory, our mission is functional translation: we design materials and devices that work in the real world. We act as a bridge between fundamental physics and your product pipeline, delivering rigorous, reproducible, and patentable outcomes.

CORE CAPABILITIES & EXPERTISEWe invite partners to sponsor challenges in our areas of proven leadership:


1. Strain-Engineered Smart Membranes

Leveraging 6,500+ citations and foundational work at Max Planck & Fudan. We design ultrathin inorganic films that spontaneously roll into 3D architectures (tubes, helices, coils) upon release.


Applications: Tunable sensors, 3D electronic interconnects, and compact energy storage.

Advantage: We use geometry and strain as design variables to create functionalities unattainable by conventional lithography.


2. Autonomous Nanomachines & Robotics

Based on our Guinness World Record-breaking technology. We engineer catalytic and magnetic nanorobots capable of active motion in fluids.


Applications: Targeted drug delivery, precision microsurgery, and environmental remediation.

Advantage: Active transport overcomes diffusion limits, enabling faster reaction rates and precise cargo delivery.


3. Next-Gen Clean Energy Systems

Supported by NSFC and global grants. Development of Membraneless Fuel Cells and catalytic systems that eliminate costly ion-exchange membranes.


Applications: Portable power sources, wearable electronics, and sustainable hydrogen technologies.

Advantage: Significant cost reduction and simplified system architecture without sacrificing power density.


4. Microfluidics & Lab-on-a-Chip

Expertise from Harvard & University of Toronto. Fabrication of monodisperse droplets, capsules, and emulsions for high-throughput screening.


Applications: Bio-diagnostics, drug encapsulation, and smart responsive materials.

OUR PROCESS: THE "INVENTION ENGINE" APPROACH

We do not rely on trial-and-error. Every project in this division follows a strict AI-


Augmented Engineering Workflow:

  1. Patent & Physics Mapping: Our AI Engine scans global patent databases to identify the "State of the Art" and existing contradictions.

  2. TRIZ Algorithmic Solving: We apply Inventive Problem Solving principles to generate non-obvious engineering solutions.

  3. Rapid Validation: Research Fellows conduct physical or simulation-based tests to validate the hypothesis.

  4. IP & Handover: Results are delivered as tangible assets—prototypes, verified datasets, or patent disclosures.

HOW TO ENGAGE

  • Corporate R&D Leaders: Sponsor a dedicated Industrial Fellow to work exclusively on a material science bottleneck in your pipeline.

  • Startups: Partner with us for a Feasibility Sprint to test a new nanomaterial concept before scaling.

  • Talent: Experienced researchers (PhD/Postdoc) may apply to join our Expert Pool for upcoming corporate projects.

Nanoparticles emitting light at different colors
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