At the intersection of materials science and neuroscience, researchers at Sungkyunkwan University have coaxed a thin crystal into behaving like a living nerve cell — sensing light and processing it in a single, unified act. By transforming rhenium selenide with a plasma treatment, they have built an artificial synapse that learns, remembers, and forgets much as biological tissue does. This is not merely a faster chip, but a rethinking of what computation can be: not calculation imposed on matter, but intelligence grown from its structure.
chemeurope.com
· Jun 19, 2026
· technology
· 2 min read
High
Sourcing: Verified
SKKU researchers develop light-based artificial synapse using engineered van der Waals crystals
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Technology
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Bias & Framing
⚖
Science reporting on neuromorphic AI hardware development with neutral, technical framing and no apparent political or ideological bias.
Bias Direction
center
Confidence
HIGH
Straightforward scientific reporting using technical terminology and achievement-focused narrative. Frames research as solving specific engineering challenges through innovation.
Potential limitations or skeptical scientific viewpoints on the technology's practical scalability
Cost-benefit analysis or commercialization timeline perspectives
Competing approaches or alternative technologies in neuromorphic computing
Broader societal implications or ethical considerations of advanced AI hardware
Geopolitical Impact
🌎
South Korean researchers advance neuromorphic AI hardware using engineered van der Waals crystals, potentially shifting semiconductor leadership in next-generation computing technology.
Escalation Risk
low
Confidence
MED
South Korea
United States
China
European Union
Japan
Taiwan
This advancement strengthens South Korea's position in semiconductor and AI hardware innovation, challenging US and Chinese dominance in neuromorphic computing. Success could enhance SKKU's research influence and South Korea's tech sector competitiveness, particularly in materials science and edge AI applications.
Similar to South Korea's rise in semiconductor manufacturing (1980s-2000s), breakthrough materials science could establish new technological leadership in AI infrastructure, mirroring Taiwan's foundry dominance.
Economic Lens
📈
SKKU researchers developed light-based artificial synapses using engineered van der Waals crystals, achieving 96.24% accuracy in AI tasks. This breakthrough could accelerate neuromorphic computing commercialization and reshape semiconductor/AI hardware markets.
Market Signal
bullish
Confidence
MED
Semiconductor manufacturing
Artificial intelligence and machine learning
Consumer electronics
Data center hardware
Materials science and nanotechnology
Optical computing
Long-term benefits include more energy-efficient AI devices, faster image/video processing in smartphones and cameras, reduced power consumption in data centers (lowering computing costs), and improved real-time visual AI applications. Near-term consumer impact is minimal as technology requires commercialization.
Governments may increase R&D funding for neuromorphic computing to maintain competitive advantage in AI hardware. Semiconductor supply chain policies could shift to prioritize advanced materials research. Patent protections and technology export controls may tighten given strategic importance of AI hardware innovation.