Top Tweets for #50Apps
Day 50/50 #AtomGPTLab #50Apps
For years I taught workshops with Google Colab. Several minutes of pip installs, slow GPUs, runtime disconnects.
Today I'm shipping the fix: GPU notebooks with many tools pre-installed. Free tier available.
🟡 https://t.co/QLHTg9CPwe
Day 45/50 #AtomGPTLab #50Apps
The Hardest Problem in Materials Physics, Now in Your Browser
Onnes discovered superconductivity in 1911, BCS explained in 1957, Allen-Dynes formula in 1975.
Now: a browser tab that computes them. Plus ML shortcut.
🟡 https://t.co/Mj35BWPzKH
Day 43/50 #AtomGPTLab #50Apps
Why does iron magnetize but aluminum doesn't?
Stoner answered this in 1938: I·N(E_F) > 1.
Now a browser app computes both sides. SlakoNet TB + JARVIS-DFT. The first spin app of the campaign.
🧲 https://t.co/ELB4scWqwW
Day 41/50 #AtomGPTLab #50Apps
Day 40 told you WHETHER a reaction is favorable.
Day 41 tells you HOW FAST.
Eyring 1935 wrote the rate equation. Jónsson 1998 wrote the algorithm. Now it's a browser tab.
🚧 https://t.co/NCWUR9gUH2
Day 39/50 #AtomGPTLab #50Apps
Neutrons see hydrogen the way nothing else does. The 1994 Nobel-winning technique, now a browser tab.
7 real spectrometers modeled. JARVIS-DFT or ALIGNN-FF backend.
🌌 https://t.co/XxxcHUsDIy
Day 36/50 #AtomGPTLab #50Apps
Every materials database used to speak its own dialect.
In 2016, OPTIMADE became the standard.
Today https://t.co/45uzgWQw5U joins the federation. 7 datasets, 1 filter syntax, 400K+ entries.
🌐 https://t.co/C3KH2plyXc
Day 35/50 #AtomGPTLab #50Apps
Pb melts at 327°C. Sn melts at 232°C. Pb-Sn solder melts at 183°C; lower than either.
That's CALPHAD. The 55-year-old methodology that designs every alloy you've ever touched, now free in your browser.
🔥 https://t.co/5zuljpCOeW
Day 34/50 #AtomGPTLab #50Apps
Load any crystal (POSCAR/CIF/XYZ/PDB). Build supercells, surfaces, vacancies, strains. Run RDF, XRD, ALIGNN, SlaKoNet, all from one workbench.
🔬 https://t.co/yaG6S9eada
Day 33/50 #AtomGPTLab #50Apps
A Wannier tight-binding Hamiltonian is a small matrix that contains every electronic property of a crystal.
JARVIS-WTB: 1,800 of them, DFT-fitted, downloadable. Bandstructure + DOS now. AHC, SHC, Chern numbers coming.
⚛️ https://t.co/2mqB0VVPfa
Day 32/50 #AtomGPTLab #50Apps
Every periodic table shows ~5 properties
This one shows 40, computed from ~90,000 materials in JARVIS-DFT. Pick any heatmap: bandgap, modulus, piezoelectric, topological, see which corner of the table owns that physics.
⚛️ https://t.co/CGrKmgBGbo
Day 30/50 #AtomGPTLab #50Apps · 🎯 Midpoint
The Shockley-Queisser limit (1961) says a single-junction solar cell maxes out at 33.7%.
JARVIS-Solar computes both SQ AND SLME (the DFT-friendly upgrade) for 1000+ materials. Browser, free, seconds.
☀️ https://t.co/letdzEPBTq
Day 28/50 #AtomGPTLab #50Apps
Every battery cathode has a voltage curve. Computing it from DFT takes days.
Now, paste a POSCAR, pick the ion (Li, Na, K, Mg, Ca, Zn), get the voltage profile + theoretical capacity in minutes. ALIGNN-FF behind it.
🔋 https://t.co/woi6trkDXH
Day 26/50 #AtomGPTLab #50Apps
A Shazam for Raman spectra: paste your peaks, find the matching material in seconds.
Plus inverse (RamanGPT: spectrum → structure) and forward (ALIGNN: structure → spectrum) AI prediction.
🧪 https://t.co/oEM46NKMSQ
Day 25/50 #AtomGPTLab #50Apps
The electric field gradient tensor Vᵢⱼ is what NMR, NQR, and Mössbauer spectra actually measure, local electronic anisotropy at every nucleus.
EFG Explorer: per-site 3×3 tensors from JARVIS-DFT, in your browser.
🧲 https://t.co/rU7Uu8pwxG
Day 24/50 #AtomGPTLab #50Apps
How many of your AI-generated references are real?
Probably not all of them. LLMs hallucinate plausible-looking citations constantly.
Hallucination Detector cross-checks references against 200M papers .
🧪 https://t.co/VG93g6GQW2
Day 18/50 #AtomGPTLab #50Apps
Perfect crystals are useless. Vacancies make them work- dopants, batteries, NV centers, catalysts.
Vacancy Explorer: ~500 DFT point defects in 3D bulk + 2D monolayers, formation energies, full decomposition.
🧪 https://t.co/wv9Ld7QBoc
Day 12/50 #AtomGPTLab #50Apps
0 K convex hull phase diagrams from JARVIS-DFT, built on OptB88vdW (vdW-corrected), not PBE.
Pick elements → 2D / ternary / 3D hull. Stable phases on hull, unstable above.
🧪 https://t.co/5FVQJWj54r
▶️ https://t.co/T4yZBu0b62
Day 11/50 #AtomGPTLab #50Apps
https://t.co/45uzgWQw5U now speaks protein. 3 tabs in one app:
🧬 ESMFold: sequence → structure
🧪 OpenFold3 (NVIDIA NIM): protein-DNA complex
🔍 PDB Explorer: 200k+ RCSB structures
🧪 https://t.co/FuXG5vrvjf
▶️ https://t.co/c3Iz6HeC3o
Day 9/50 #AtomGPTLab #50Apps
Direct Air Capture needs the right MOF. Screening 140k+ candidates with GCMC takes weeks.
ALIGNN trained on hMOF predicts CO₂ adsorption isotherms in seconds, directly from crystal structure.
🧪 https://t.co/syl4VNFF8f
▶️ https://t.co/eOsyjbBXjI
Day 8/50 #AtomGPTLab #50Apps
Microscopy Suite: image → structure, structure → image.
🔬 MicroscopyGPT (Llama 3.2 Vision) predicts crystals from STEM
⚡ STEMConv simulates STEM from any POSCAR
🧲 JARVIS-DFT STM database browser
🧪 https://t.co/phLSlT4P3A
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