#統計力學
Live, measured metrics for the hashtag #統計力學 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #統計力學
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-26 07:58 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-26 07:58 UTCNo related tags with measured usage found for #統計力學.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 07:58 UTCEverything below is measured over the latest 2 public posts (spanning ~588 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (2)
Avg boosts / post: 0
Top of the latest posts
🌘 馬可夫鏈的熵 ➤ 從波茲曼公式推導隨機系統的有序與無序 ✤ https://chillphysicsenjoyer.substack.com/p/the-entropy-of-a-markov-chain 本文探討了物理學中「熵」的概念演變，從克勞修斯的宏觀熱力學定義出發，延伸至波茲曼基於微觀狀態總數的統計學解釋。作者將此物理框架應用於馬可夫鏈，特別是戴森的細胞模型。透過計算系統在達到平衡狀態時各個微觀配置的排列方式，展示瞭如何利用多項式係數與波茲曼公式精確推導出隨機系
🌘 細胞計算的能量成本 ➤ 揭開微觀世界的熱力學代價：細胞運算為何需要能量？ ✤ https://arxiv.org/abs/1203.5426 細胞在應對環境變化時，如同電腦般進行著資訊處理。本研究探討細胞如何感測環境中的化學配體濃度，並驗證了著名的「蘭道爾原理」（Landauer's Principle），即資訊處理必然伴隨著能量消耗。研究人員透過模擬「伯格-珀塞爾」（Berg-Purcell）策略的雙組分細胞網絡模型，量化了這種能量成本。結論顯示，細胞為了獲取精確的環
#統計力學 across platforms
every network with a public tag surfaceFollow #統計力學 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/統計力學