동향

자율실험실과 AI 소재 발견 분야의 주목할 만한 소식——인재 이동, 신규 연구소, 자금, 정책.

2026-08

마일스톤 ¶

Chem hosts the field's first structured debate on 'reasoning SDLs' — Abolhasani Catalyst + five Reaction responses

Chem's August 2026 issue (Vol. 12/8) pairs Milad Abolhasani's Catalyst commentary 'When self-driving labs begin to reason' — arguing the SDL bottleneck has moved from executing experiments to deciding what science to do next — with five invited Reaction responses from leading groups: Chen/Xie/Jiang (USTC) call for experimentally grounded chemical world models; Boser/Glorius (Münster) bring synthetic-chemistry adoption realism; Fan/Liu (UCLA) demand agentic AI that explains as well as optimizes; Aspuru-Guzik/Bernales (Toronto) argue for trust infrastructure 'beyond fragile eloquence'; and Sin/Segura/Winkler/Schwaller (EPFL LIAC + Roche) frame reasoning labs as reproducible physical infrastructure. Notably, every response converges on verification and infrastructure rather than raw capability — the same month the anchor author's Nature Reviews Chemistry review recast SDLs as shared scientific infrastructure.

Abolhasani Catalyst (Chem) ↗Aspuru-Guzik & Bernales Reaction ↗Schwaller et al. Reaction ↗ → 자세히 보기

펀딩 ¶

UT Knoxville wins $20M NSF award for ATHENA — autonomous microscopy + synthesis cloud testbed led by Sergei Kalinin

The University of Tennessee, Knoxville secured a $20M NSF award to build ATHENA (Advanced Testbed for High-throughput Experimentation in Nano- and Atomic Science), a node in NSF's Programmable Cloud Laboratories initiative. Led by Sergei Kalinin — a defining figure in autonomous microscopy — with co-PIs Gerd Duscher, Mahshid Ahmadi and Hairong Qi and twelve UT faculty, partnering Northwestern and Johns Hopkins, ATHENA combines autonomous microscopy with automated materials synthesis into remotely accessible, cloud-operated self-driving laboratories built on open software standards, targeting a 10–30× increase in experimental throughput. A companion $5M Johns Hopkins-led award on an AI for Materials Design Network includes UT's Michela Taufer.

UT Knoxville (Tickle College of Engineering) ↗NSF PCL Test Bed (program) ↗ → 자세히 보기

2026-07

펀딩 ¶

NSF commits ~$400M to a national network of AI-driven 'programmable cloud laboratories'

The US National Science Foundation launched the 'NSF Test Bed: Toward a Network of Programmable Cloud Laboratories (NSF PCL Test Bed)', awarding $380M to 20 teams over four years, with upwards of $20M in matching philanthropic funding from the Astera Institute (~$400M total). The teams will build a nationwide, remotely accessible network of AI-enabled automated laboratories aiming for 'a virtuous cycle of automated hypothesis generation, autonomous experimentation and generation and interpretation of large volumes of high-quality experimental data', across disciplines from biology and chemistry to soft materials, 2D materials, metals, material characterisation and electronics; several PCL Nodes include participation by the US DOE National Labs. One example node: Penn State's $20M 'LATTICE' (Layered and Thin-film Technologies with Intelligent Cloud Experimentation), led by Distinguished Professor Joan Redwing with Argonne National Laboratory, for AI-enabled thin-film materials discovery, characterisation and optimisation.

NSF ↗NSF PCL Test Bed (program) ↗Penn State (LATTICE node) ↗ → 자세히 보기

마일스톤 ¶

Cusp AI launches an 'AI Materials Foundry' and raises a $450M Series B at a roughly €2.2B valuation

Cusp AI, the AI-materials-discovery startup co-founded by Max Welling (Amsterdam-based) and Chad Edwards, has launched the 'AI Materials Foundry': a global network of 45+ founding partners (NVIDIA, Meta, Samsung, Hyundai Motor Group, Henkel, Applied Materials, Tokyo Electron, Lam Research) pooling compute and scientific resources to accelerate materials discovery for chipmaking and other industries. The launch came with a $450M (€393M) Series B at a roughly €2.2B ($2.6B) valuation, led by Kleiner Perkins and NEA with Jeff Bezos' Bezos Expeditions participating. A privately funded, Welling-anchored push on exactly the AI-driven materials-discovery frontier DiscoveryLabNL is building national public infrastructure for.

Cusp AI (Medium) ↗EU-Startups ↗Bloomberg ↗Silicon Republic ↗ → 자세히 보기

인재 ¶

Nobel laureate Omar Yaghi moves to Tsinghua to lead an AI materials-discovery institute

Omar Yaghi (2025 Chemistry Nobel; the pioneer of metal-organic frameworks) has left UC Berkeley for a full-time chair at Tsinghua University in Beijing, where he will lead a new AI-assisted materials-discovery institute. A high-profile US-to-China move on exactly the frontier DiscoveryLabNL is building for.

Nature ↗NYT ↗Tsinghua ↗ → 자세히 보기