20 Jul 2026, 07:09 UTC10 viewsread 10 August 2026
Alqem AI & MPI CPfS Launch Project For New Magnetic Materials https://quantumzeitgeist.com/alqem-ai-mpi-cpfs-project-magnetic/
Channel
Computational Chemistry and Materials Engineering
@compchem_more
On this record: Growth · Engagement · Posts · Citations · Cite this entry
43subscribers
+2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001667993004 |
|---|---|
| Type | Channel |
| Username | @compchem_more |
| Created | 25 April 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 10 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 5 times, most recently 17 September 2026 |
| On Telegram | t.me/compchem_more |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 02:14 | 43 | +2 |
| 10 Aug 2026, 18:30 | 41 | no change |
| 7 Aug 2026, 19:48 | 41 | first reading |
Engagement
20 posts held, back to 14 April 2025 — 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 20 posts for this entry, the most recent from 20 July 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
25 May 2026, 19:46 UTC32 viewsread 10 August 2026
Superconductivity Breakthrough: Hidden Order Found Inside Quantum Chaos https://scitechdaily.com/superconductivity-breakthrough-hidden-order-found-inside-quantum-chaos/
12 Sept 2025, 05:11 UTC241 viewsread 10 August 2026
COLUMBUS─An Efficient and General Program Package for Ground and Excited State Computations Including Spin–Orbit Couplings and Dynamics | The Journal of Physical Chemistry A https://pubs.acs.org/doi/10.1021/acs.jpca.5c02047
11 Sept 2025, 19:39 UTC204 viewsread 10 August 2026
www.chemengonline.com https://www.chemengonline.com/sandboxaq-releases-ai-based-industrial-catalyst-dataset-with-quantum-chemistry-calculations/
11 Sept 2025, 19:35 UTC145 viewsread 10 August 2026
Exploring the Frontiers of Computational NMR: Methods, Applications, and Challenges | Chemical Reviews https://pubs.acs.org/doi/10.1021/acs.chemrev.5c00259?mi=6l0kix4&af=R&AllField=anticancer&target=default&targetTab=std
10 Sept 2025, 20:21 UTC128 viewsread 10 August 2026
AI Characterization Advances Tackle Exponential Scaling In Large-Scale Quantum Systems https://quantumzeitgeist.com/ai-systems-characterization-advances-tackle-exponential-scaling-large-scale/
22 Jul 2025, 16:29 UTC156 viewsread 10 August 2026
A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists | Nature Chemistry https://www.nature.com/articles/s41557-025-01815-x
27 Jun 2025, 07:29 UTC146 viewsread 10 August 2026
Machine learning-driven prediction of optical responses and inverse design of annular aperture arrays | Journal of Applied Physics | AIP Publishing https://pubs.aip.org/aip/jap/article/137/24/243105/3350839/Machine-learning-driven-prediction-of-optical
27 Jun 2025, 07:27 UTC119 viewsread 10 August 2026
Accurate Predictions of Concrete in High Heat Conditions https://www.azobuild.com/news.aspx?newsID=23831
27 Jun 2025, 07:22 UTC104 viewsread 10 August 2026
OTI Lumionics Releases Breakthrough Algorithms for Quantum Chemistry Simulations https://www.azoquantum.com/News.aspx?newsID=10845
27 Jun 2025, 07:12 UTC94 viewsread 10 August 2026
(PDF) A step toward a micromechanics‐informed neural network for predicting asphalt mixture stiffness https://www.researchgate.net/publication/392941043_A_step_toward_a_micromechanics-informed_neural_network_for_predicting_asphalt_mixture_stiffness
30 Apr 2025, 10:57 UTC107 viewsread 10 August 2026
https://jcheminf.biomedcentral.com/articles/10.1186/s13321-025-01008-1
Showing the 12 most recent of 20 posts we hold for @compchem_more. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Cite this entry
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Computational Chemistry and Materials Engineering” (@compchem_more), 43 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/compchem_more.
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.