Innohk

Hong Kong Quantum AI Lab Limited

🌍 Official Website 🏢 HKSTP Source
78 Potential

Decision Maker

Dr. Shuguang Chen
sgchen@hkqai.hk
+852 3910 3728
N/A
Raw Description
Hong Kong Quantum AI Lab (HKQAI) is a Centre of Machine Learning for Energy Materials and Devices established by The University of Hong Kong and Caltech. Based on the InnoHK programme initiated by Hong Kong Government, HKQAI brings together experimentalists, computational scientists and data scientists to develop an integrated R&D platform of big data/machine learning, computational science and experiment to discover new energy materials and devices. The platform will be employed to tackle the pressing challenges in organic light emitting diodes (OLED) and solid-state lithium ion (Li-ion) battery. The ultimate objective is to discover next generation materials and design novel devices on computers or in silico.

Strategic Analysis

Executive Brief

The Hong Kong Quantum AI Lab (HKQAI) is a premier R&D center focused on the convergence of machine learning and material science. Specifically targeting OLED efficiency and Li-ion battery longevity, HKQAI utilizes an "in silico" discovery pipeline. As a research-to-commercialization hub, they require advanced hardware to validate AI-predicted materials and manage the extreme thermal loads generated by their high-performance computing (HPC) clusters and experimental device prototypes.

Strategic Fit & Lead Score

Lead Score: 78 (Strong Potential)

Why this Score? While HKQAI focuses on OLEDs and Batteries, their "Quantum" branding and InnoHK funding suggest a mandate for next-generation hardware. Diamond is the ultimate thermal management material for the high-brightness OLEDs they develop and the high-compute AI clusters they run. Furthermore, our Boron Doped Diamond (BDD) provides a unique electrochemical window for the advanced battery sensing and electrolyte analysis they conduct.

6C Solutions Proposal

Application Area 6C Solution Technical Value Prop
HPC AI Infrastructure PCD Heat Spreaders Thermal conductivity >1800 W/mK. Essential for cooling the high-density GPU/TPU clusters required for their "Big Data" material discovery platform, preventing thermal throttling during ML training.
OLED Thermal Stability Optical Grade PCD Wafers High-transparency diamond substrates act as heat sinks for high-power OLED devices, reducing thermal quenching and significantly extending device lifespan and luminance.
Battery Diagnostics BDD Electrodes Boron Doped Diamond offers the widest electrochemical potential window available. Ideal for in-situ monitoring of electrolyte decomposition and redox reactions in solid-state Li-ion research.
In-house Synthesis Custom MPCVD Reactor Enables HKQAI to move from "in silico" design to physical synthesis. A 6C reactor allows them to grow doped diamond variants or carbon-based thin films predicted by their AI models.
Quantum Sensing Electronic Grade SCD Ultra-pure Single Crystal Diamond with nitrogen-vacancy (NV) centers. Can be used to create high-precision quantum sensors to map magnetic fields and ion movement inside batteries during charge cycles.

Engagement Hooks

  • Technical Question: "As HKQAI scales its AI-driven discovery for OLEDs, how are you addressing the 'thermal bottleneck' that occurs when translating high-efficiency molecular designs into high-brightness physical devices?"
  • Value Statement: "6C can transform your material discovery pipeline by providing both the MPCVD hardware to grow AI-predicted carbon structures and the Diamond substrates necessary to stabilize your next-generation energy devices."

6C Material Specs for HKQAI R&D:

  • SCD Purity: < 5 ppb Nitrogen (Quantum Grade).
  • PCD Growth: Wafers up to 5 inches for large-area device integration.
  • BDD Conductivity: Tunable doping levels from 1019 to 1021 cm-3.
  • Surface Finish: Ra < 1nm via proprietary polishing, critical for interface engineering in solid-state batteries.