PPPL

@PPPLab · Princeton, NJ · joined 11 Dec 2009

PPPL tackles the world's toughest science and technology challenges with plasma, the fourth state of matter. @ENERGY @Princeton

20 019Followers

1 691Following

5 821Posts total

6KViews on collected posts

Latest posts

PPPL@PPPLab14 Sep

The new SUNRISE - STELLAR-AI Federation links the @UKAEAofficial's SUNRISE supercomputer and PPPL's STELLAR-AI platform to help researchers on both sides of the Atlantic collaborate and better leverage AI to speed up fusion energy research. https://t.co/dce3KfAIy7 488 views · 2 likes · 1 reposts · 0 replies Open on X →

PPPL@PPPLab8 Sep

.@physorg_com reports on how PACMAN, a new AI framework developed by PPPL, @Princeton and Japan’s National Institutes for Quantum Science and Technology, can safely control fusion systems by making key decisions in milliseconds. https://t.co/Rr8BSFGx1g 1.4K views · 7 likes · 5 reposts · 0 replies Open on X →

PPPL@PPPLab2 Sep

A new AI software framework known as PACMAN can keep fusion energy systems stable. Developed by PPPL, @Princeton & Japan's National Institutes for Quantum Science and Technology, PACMAN was tested in five experiments at the @ENERGY's @d3dfusion. ➡️ https://t.co/MuBTCtGjP3 2.6K views · 18 likes · 2 reposts · 1 replies Open on X →

PPPL@PPPLab31 Aug

.@Nature checks in on how private companies are pursuing commercial fusion energy and PPPL Director Steve Cowley shares his perspective on the pace and progress of fusion research and commercial development. https://t.co/5g0XRozmqo 681 views · 5 likes · 2 reposts · 0 replies Open on X →

PPPL@PPPLab20 Aug

What geometry will offer the best design for a fusion power plant? ⚡Spherical tokamaks, like the National Spherical Torus Experiment-Upgrade (NSTX-U), may help confine plasma energy more efficiently than other more conventional doughnut-shaped designs. https://t.co/vIPSyCvxCl htt

778 views · 7 likes · 4 reposts · 0 replies Open on X →

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views778this account924median for 10K–100K

Reach, %3.89%this account3.62%median for 10K–100K

Engagement, %0.91%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	778	924	0.84×
Reach (views ÷ followers)	3.89%	3.62%	1.07×
Engagement rate	0.91%	1.52%	0.60×

Others in this range → Compare with another account → How these benchmarks are built →

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

77820 Aug

68131 Aug

2.6K2 Sep

1.4K8 Sep

48814 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.41%20 Aug

1.03%31 Aug

0.91%2 Sep

0.83%8 Sep

0.61%14 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes59.1%39 in total

Reposts21.2%14 in total

Replies1.5%1 in total

Quotes4.5%3 in total

Bookmarks13.6%9 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.