John Hopfield

John Hopfield2024 Nobel Physics Laureate

Water Day Master, Executive Pattern (正官格). Seal energy 12.3%, dominant Ten God: Executive (正官). 2024 Nobel Prize in Physics laureate for foundational discoveries in artificial neural networks and machine learning.

1933-07-15Chicago, Illinois, U.S.#科学
#Water Day Master#Executive Pattern#Seal 12.3%#Executive Dominant#Weak Self

BaZi Chart

Year
Month
Day
Hour
Stem
GuiRival
JiExecutive
RenDay Master
*
Branch
You
Wei
Wu
*
Hidden
Xin
JiDingYi
DingJi
*
Sub
Mentor
Executive
Earner
Maverick
Earner
Executive
*

Core Analysis

John Hopfield, born 1933-07-15, three pillars Gui You (癸酉) Ji Wei (己未) Ren Wu (壬午) (hour unknown, analysis based on three pillars). Day Master Water (Ren Wu day), chart classified as Executive Pattern (正官格). Self strength: Weak Self (身弱) — energy dispersed, reliant on external drive.

Chart Overview

YearMonthDay
Heavenly StemGuiJiRen
Earthly BranchYouWeiWu
Ten GodRivalExecutiveDay Master

Ten God Energy Distribution

CategoryPercentage
Seal12.3%
Officer43.2%
Wealth24.7%
Talent7.4%
Sibling12.3%

Dominant Ten God: Executive (Officer)

Position Among 114 Nobel Samples

  • Seal concentration: 12.3% (below average)
  • Rank: 78th / 114
  • Sample mean: 20.56%, Hopfield's deviation: -8.26 percentage points

This places Hopfield in the "weak Seal group" within our 100 Nobel laureates BaZi study.

Luck Cycle Milestones

  • Ages 4-13 (1936-1945): Wu Wu (Earth) — Warlord
  • Ages 14-23 (1946-1955): Ding Si (Fire) — Earner
  • Ages 24-33 (1956-1965): Bing Chen (Fire) — Venturer
  • Ages 34-43 (1966-1975): Yi Mao (Wood) — Maverick
  • Ages 44-53 (1976-1985): Jia Yin (Wood) — Talent
  • Ages 54-63 (1986-1995): Gui Chou (Water) — Rival

Fortune Profile

Hopfield's Executive Pattern with dominant Executive indicates the core path of this 2024 Nobel Physics laureate:

  • Energy drive mode: Driven by Officer (pressure + responsibility)
  • Pattern tendency: Executive Pattern typically grants innate advantage in "authority + responsibility"

His award for artificial neural networks and machine learning aligns with this energy type — Nobel-level breakthroughs require at least one Ten God energy cluster sufficient for sustained deep work.

Further Reading

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Trait Analysis

壬午日柱名人

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