Channel
@soft_mipt
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
277subscribers
+11 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002037315737 |
|---|---|
| Type | Channel |
| Username | @soft_mipt |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/soft_mipt |
Science — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 23 September 2026 and assigned it the closest of 31 fixed categories, at 89% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 21:16 | 277 | +4 |
| 10 Sept 2026, 08:01 | 273 | +4 |
| 1 Sept 2026, 20:44 | 269 | +1 |
| 13 Aug 2026, 15:48 | 268 | +1 |
| 7 Aug 2026, 00:32 | 267 | no change |
| 6 Aug 2026, 22:20 | 267 | +1 |
| 6 Aug 2026, 07:21 | 266 | first reading |
6 posts held, back to 26 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
113 reactions across 6 posts, in 5 distinct kinds. The most used accounts for 76.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 86 | 76.1% | |
| ❤ | 12 | 10.6% | |
| 👍 | 7 | 6.19% | |
| 👏 | 5 | 4.42% | |
| 😎 | 3 | 2.65% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 6 of the 6 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 113 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 26 June 2026 to 6 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
По приглашению Института искусственного интеллекта Илья Копаничук и Вячеслав Лукьянчук представили МФТИ на международной конференции OBIC 2026 (направление "AI for Chemistry") в Китае 28–30 июля в рамках сотрудничества с Пекинским университетом. Илья рассказал о наших наработках в области молекулярного моделирования и машинного обучения для систем нефть–рассол, а Вячеслав доложил работу по физически информированному…
🔥9😎3❤1
Как мы прогнозировали вязкость многокомпонентных масел В журнале Chemical Engineering Science вышла статья Predicting multi-component oil viscosity using machine learning methods — работа Владимира Дещеня, Николая Кондратюка и коллег из ИТМО. Статья родилась по следам хакатона «Нефтекод – 2024», организованного Центром инфохимии ИТМО совместно с ООО «Газпромнефть-СМ». Компания предоставила обезличенный промышленный…
🔥10👍3
О неоднородности смачивания стенок пор У нашего Центра вышла новая работа A. Ipatova, A.S. Zubov, N.D. Kondratyuk, K.M. Gerke. Accounting for heterogeneous wettability in pore network elements в журнале Advances in Water Resources. Поросетевые модели – эффективный способ рассмотреть многофазное течение в пористых средах. Обычно смачиваемость внутри каждой поры считается однородной. В реальности стенки поры часто со…
🔥9👍1
Сразу два проекта Центра поддержаны грантами РНФ! 🎉🎉🎉 Обе заявки были поданы на конкурс «Проведение исследований научными группами под руководством молодых ученых» Первый проект «РАСТВОР: Растворимость, Анализ, Сольватация и Термодинамика Водных и Органических Растворов» под руководством Николая Кондратюка продолжает линию наших работ по локальной структуре, транспортным свойствам растворов: от вязкости и диффузии …
🔥21❤4👍2
Молекулярная динамика 2026 в Пушкине II Всероссийская конференция по молекулярной динамике в этом году переместилась в особняк Кочубея в Пушкине. По сравнению с прошлым годом она заметно выросла: число докладов увеличилось на 20%, а среди участников появился докладчик из Китая, так что конференция приобретает и международный статус. От Центра приехала большая делегация. С устными докладами выступили Николай, Илья и…
🔥14❤7👍1
Вчера состоялось долгожданное событие для нашего Центра - Кирилл Герке успешно защитил докторскую диссертацию по специальности "Механика жидкости, газа и плазмы". Причем работа была подана по докладу, который основан на 74 публикациях! Интересно, что защита прошла для Кирилла просто "не отходя от станка", утром он еще успел выступить с презентацией перед делегацией из крупной нефтедобывающей компании. Такую работу …
🔥23👏5
Showing the 6 most recent of 6 posts we hold for @soft_mipt. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Центр вычислительной физики МФТИ” (@soft_mipt), 277 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/soft_mipt.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.