Ralph Nuzzo (Northwestern), Jakob Sagiv (Weizmann) and David Allara (Penn State) win the Nobel Prize in Chemistry 2026 for self-assembled monolayers (SAMs) (announcement Royal Swedish Academy, 7 October 2026, confirmed via Nobel.org by 8 October 2026)
Pending
✦ AI-generated prediction
Published on 3. October 2026
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Predicted for 7. October 2026
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Based on: Speculative
Clarivate has listed Nuzzo, Sagiv and Allara as Citation Laureates for their foundational work on self-assembled monolayers (SAMs) for several consecutive years — Clarivate's most consistently cited candidate field for the 2026 Chemistry Nobel alongside perovskite solar cells, protein electron transfer and base editing. Prediction markets publish no per-candidate chemistry odds; with roughly 6–8 credible topic areas, calibrated win probability is ~16%. Announcement 7 October 2026, 11:45 CEST, Royal Swedish Academy of Sciences.
Data basis for this prediction
- Clarivate Citation Laureates 2026: Allara, Nuzzo, Sagiv für SAM-Forschung (alliancechemical.com, Oktober 2026)
- ChemistryWorld: 2026 Nobel Chemistry Predictions – SAMs, Perowskit, Base Editing als Top-Felder (Oktober 2026)
- Nobel Prize Announcement Dates: Chemie-Nobel 7. Oktober 2026, 11:45 Uhr CEST (nobelprize.org)
Verdict: Pending
This prediction is still open. It will be evaluated automatically against real-world sources after its due date.
💻 Technology
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TSMC's documented Q3 2024 revenue was NT$759.69B (+35% YoY), Q4 2024 was NT$868.46B, and full-year 2024 was NT$2,894B (~$89B USD). Analysts have consistently modeled +22–28% YoY growth for 2025 and 2026, driven by: (1) sustained AI GPU demand (N3/N2 processes for NVIDIA, AMD, Apple), (2) strong CoWoS packaging revenue, (3) new 2nm mass production capacity in Hsinchu/Taichung. At a conservative 20% YoY growth since Q3 2024: Q3 2025 ≈ NT$912B, Q3 2026 ≈ NT$1,094B — just below the threshold. Bloomberg consensus Q3 2026: ~NT$1,180B (+22% YoY vs. Q3 2025). The NT$1,100B threshold is ~7% below consensus, implying ~66% probability. No direct Polymarket market; TSMC ADR (NYSE: TSM) +38% YTD 2026 as of October 3. Risk: US-China AI chip export controls or Taiwan Strait tensions.
💻 Technology
✦ AI
Kalshi rates Daniel Drucker at 26% (as of Oct 3, 2026), making him the top candidate on the largest US prediction market, ahead of James Fujimoto (12%) and Timothy Springer (9%). Drucker is a key architect behind GLP-1 agents (Ozempic/Wegovy class), which have globally transformed diabetes and obesity treatment and represent one of the most consequential therapeutic breakthroughs since insulin. Recent Nobel Medicine patterns (mRNA vaccines 2023, CRISPR 2020) favour transformative clinical-impact research. Co-laureates such as Jens Juul Holst (Copenhagen) or Svetlana Mojsov are plausible. Market odds reflect both candidacy strength and the persistently high residual uncertainty of Nobel selections.
💻 Technology
✦ AI
Kalshi rates Allan MacDonald (UT Austin) at 21% as top candidate, followed by Alexei Kitaev (Caltech, 17%) and Charles Kane (University of Pennsylvania, 15%). All three research topological condensed matter — a field without a Physics Nobel since 2016 (Thouless/Haldane/Kosterlitz). MacDonald's work on magic-angle superconductivity in graphene bilayers (2018, with Pablo Jarillo-Herrero, MIT) ranks among the most-cited physics discoveries of the past decade and launched the global twistronics research wave. Single-name probability for MacDonald: 20%; total probability for the topological condensed matter field: ~35%. Clarivate Citation Laureates 2026 lists condensed matter as a strong predictor candidate.