Zhigang Suo

@zhigangsuo · joined 12 May 2007

Professor at Harvard University

28 635Followers

1 099Following

18 739Posts total

42.7KViews on collected posts

โพสต์ล่าสุด

Zhigang Suo@zhigangsuo23 Aug

I’ve just given an overhaul of my lecture on the Boltzmann distribution. In particular, I reworked the sections on entropy and free energy. 6.2K views · 44 likes · 2 reposts · 2 replies Open on X →

Zhigang Suo@zhigangsuo12 Aug

I thought of Norm yesterday, and went on X to see what he was up to. I found this page. Norm and I never met in person, but had many meaningful exchanges on X, through posts, comments, and direct messages. I learned much from him, and admired his clarity. I miss him. 6.3K views · 16 likes · 0 reposts · 1 replies Open on X →

Zhigang Suo@zhigangsuo12 Jul

“A short paper makes only one point,” David Weitz wrote in a manual for his group. “Write the point in one or two sentences.” This “Weitz law” is a powerful organizing principle for research. My group practices the Weitz law. Here are my field notes. https://t.co/JoNDB4Fsvk 3.5K views · 23 likes · 2 reposts · 1 replies Open on X →

Zhigang Suo@zhigangsuo1 Jul

Why is the strength of an elastomeric polymer network so low? This new paper gives an interpretation. https://t.co/0J1lyc1oLK https://t.co/gw81B6jHOT

2.7K views · 14 likes · 0 reposts · 1 replies Open on X →

Zhigang Suo@zhigangsuo25 Apr

@zhigangsuo @ZheqiChen Teacher, from the perspective of molecular dynamics, analyzing the fatigue fracture mechanics of polymers - how is this approach? 73 views · 1 likes · 0 reposts · 1 replies Open on X →

Zhigang Suo@zhigangsuo19 Dec 2025

@ZheqiChen Section 6 begins with an analogy, and asks a question. It is difficult to answer this question in general. The sections reviews several common experiments. https://t.co/tQkI4lVC9C

884 views · 5 likes · 2 reposts · 1 replies Open on X →

Zhigang Suo@zhigangsuo17 Dec 2025

@ZheqiChen This review article contains 79 figures. Some of them were taken from the literature. Many of them were drawn by @ZheqiChen specifically for this article. These figures may give a quick impression of the field. 1.3K views · 12 likes · 0 reposts · 1 replies Open on X →

Zhigang Suo@zhigangsuo16 Dec 2025

@ZheqiChen Two fracture properties are commonly measured: Gc, toughness, measured using a sample with a precut crack Wc, work of fracture, measured using a sample without precut crack Their ratio, Gc/Wc, defines a material length. Its significance is discussed in Section 4. ht

1.9K views · 23 likes · 4 reposts · 2 replies Open on X →

Zhigang Suo@zhigangsuo16 Dec 2025

@ZheqiChen It has been a long tradition for many physicists and chemists to study the rheology of polymers. We hope that this review will help people study the fracture of polymers. 2K views · 12 likes · 1 reposts · 1 replies Open on X →

Zhigang Suo@zhigangsuo16 Dec 2025

@ZheqiChen In fracture mechanics, a central result is the field of elastic energy density, W, is 1/R-singular, and is linear in the energy release rate, G. This result is derived from a scaling analysis (Section 4.1). This scaling analysis is perhaps new to this article. https:/

1.3K views · 15 likes · 1 reposts · 1 replies Open on X →

Zhigang Suo@zhigangsuo16 Dec 2025

A crack grows in a body by coevolving three aspects: 1. a background of elastic deformation 2. two layers of scars 3. a zone of the irreversible process They define three distinct quantities: G, G*, G** (Sections 2.4, 2.5, 2.6). https://t.co/Uswan0zCmu

865 views · 12 likes · 1 reposts · 2 replies Open on X →

Zhigang Suo@zhigangsuo16 Dec 2025

Our long review article is online, at Chemical Reviews, titled, Thermodynamic and Molecular Origins of Crack Resistance in Polymer Networks. @ZheqiChen https://t.co/Q8YqF9lRpY 15.6K views · 87 likes · 18 reposts · 4 replies Open on X →

Zhigang Suo@zhigangsuo30 Mar 2022

I've just updated my notes on Boltzmann Distribution. https://t.co/HnqKMlOsKe I aim to get rid of superfluous ideas. This afternoon I got rid of free energy. Also, the average entropy comes out "naturally".@martinmbauer @gravity_levity @adamastokes @RuiHuangUTAus @Cyberplasm 0 views · 75 likes · 6 reposts · 3 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

4 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน4 888บัญชีนี้949ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %17.07%บัญชีนี้3.31%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.65%บัญชีนี้1.88%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	4 888	949	5.15×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	17.07%	3.31%	5.16×
อัตราการมีส่วนร่วม	0.65%	1.88%	0.35×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

15.6K16 Dec

865

1.3K

1.9K

1.3K17 Dec

88419 Dec

7325 Apr

2.7K1 Jul

3.5K12 Jul

6.3K12 Aug

6.2K23 Aug

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.70%16 Dec

1.73%

1.35%

0.69%

1.49%

1.02%17 Dec

0.90%19 Dec

2.74%25 Apr

0.56%1 Jul

0.74%12 Jul

0.27%12 Aug

0.77%23 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.88%.

What the audience does

Likes70.2%264 in total

Reposts8.2%31 in total

Replies4.8%18 in total

Bookmarks16.8%63 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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