Xin@QuantumChem @xinquantum.bsky.social · 03/10/2026Building catalytic surface using LightCone. Desktop version to be released with Direwolf (a quantum chemistry package). #compchemsky lightcone.quanta-bricks.com 051
Xin@QuantumChem @xinquantum.bsky.social · 24/09/2026So called "molecule-molecule docking", it should be classified into conformer searching. Visualization: lightcone.quanta-bricks.com 000
Xin@QuantumChem @xinquantum.bsky.social · 25/08/2026RiemannMol I: Molecular Generation with Learned Latent Metrics | ChemRxiv chemrxiv.org/doi/full/10.... Sharp boundaries between SMILES strings are observed in the latent space.chemrxiv.orgRiemannMol I: Molecular Generation with Learned Latent Metrics | ChemRxivLatent-space molecular generators often leave unclear whether distance in the latent space reflects meaningful chemical similarity and which regions can be reliably decoded. A Transformer-based SMILES generator, trained from scratch, shows through Monte ... 000
Xin@QuantumChem @xinquantum.bsky.social · 14/05/2026Found these two books in a Boston vintage bookstore. #physics #compchemsky #compchem #quantum 030
Xin@QuantumChem @xinquantum.bsky.social · 03/05/2026Yes, the data were released 7 years ago, so LLMs have likely been trained on them. I should use some private data to test a series of compounds. 000
Xin@QuantumChem @xinquantum.bsky.social · 03/05/2026Data source: github.com/samplchallen...github.com 000
Xin@QuantumChem @xinquantum.bsky.social · 03/05/2026Testing three LLM models (Opus 4.7, Sonnet 4.6, Gemma 4) on LogP prediction. The pairwise ranking is the most important thing, 76% accuracy is acceptable. Accurate numerical prediction still relies on dedicated models, this test is more about how well LLMs understand chemistry. #compchemsky 200
Xin@QuantumChem @xinquantum.bsky.social · 23/04/2026Catalytic surface editing is pretty easy on LightCone interface. Good for heterogeneous cat. system building. #compchemsky #compchem 010
Xin@QuantumChem @xinquantum.bsky.social · 27/03/2026Always start from the 7th column. #compchemsky #compchem 000
Xin@QuantumChem @xinquantum.bsky.social · 13/02/2026Two rescued cats. The first is named Isolated Belt (as I found it in an isolated belt bush). The second is Huahua (at least 9 yro). #compchem #biology #chemistry #compchemsky 140
Xin@QuantumChem @xinquantum.bsky.social · 06/02/2026Which material/style do you prefer? #compchem #compchemsky 210
Xin@QuantumChem @xinquantum.bsky.social · 20/01/2026A better example than the compound starts with M.media.tenor.coma man wearing a beanie and a black jacket is smiling and holding a piece of food .ALT: a man wearing a beanie and a black jacket is smiling and holding a piece of food . 000
Xin@QuantumChem @xinquantum.bsky.social · 20/01/2026Extreme compression test on C60. Even under very aggressive deformation, xTB stays stable and gives a reasonable energy trend. (Without clear bond breaking). @myzzzz.bsky.social would like to share the detailed files. 030
Xin@QuantumChem @xinquantum.bsky.social · 28/11/2025When it comes to real production level chemistry code, both Gemini 3 Pro and Claude Opus became clumsy. It took them around 40 minutes and multiple rounds of conversation just to finish the project. They’re clearly not great with RDKit or chemistry APIs. #CompChemsky #compchem #Chemistry 100
Xin@QuantumChem @xinquantum.bsky.social · 23/11/2025In one sentence: Orb-v3 is accurate in describing F-Li-Be Molten Salt *without fine-tuning*. AIMD results came from: doi.org/10.1103/PRXE... They also compared with Neutron Diffraction. @myzzzz.bsky.social will benchmark the S(Q) with experimental data. #compchemsky #compchem 020
Xin@QuantumChem @xinquantum.bsky.social · 16/11/2025I almost said protein folding was CompChem's holy grail, finally solved by AI. But I held back, just said: "It's AI predictions, double-check if they make sense." 010
Xin@QuantumChem @xinquantum.bsky.social · 16/11/2025Wetlab is a different world. A wetlab biologist just told me she uses a visualization website where you input a protein sequence and click, the 3D structures show instantly. The visualization thing is called AlphaFold. #Biology #AlphaFold #compchemsky 140
Xin@QuantumChem @xinquantum.bsky.social · 09/11/2025Centuries of human progress led us to uncover The Double Helix. In the end, we realized that all living things share the same codebook. #science #biology 010
Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025Yesterday I posted an incorrect comparison. I accidentally copied the TS3 structure into TS1 for UMA and Orb-V3, so the MLIP results for TS1 were wrong. Really sorry about that misleading! In the next post I will share IRC of DFT calculation and wB97M-V/def2-TZVPD results. #compchem #compchemsky 030
Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025Sorry this post is incorrect. I accidentally copied the TS3 structure into TS1. The corrected results should be: 100
Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025THIS POST is wrong: I wrongly copied the TS3 structure into TS1 in this post. The corrected results profile should be 000
Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025Oh, sorry, I made a mistake. I copied the TS3 structure into TS1. The corrected figure should be. As for wB97M-V/def2-TZVPD, its relative energy of TS1 is very close to M06-2X/def2-TZVPP (within <0.1 kcal/mol). I will share the notebook, IRC and data very soon. 121
Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025This is stricter than just comparing their own barrier height. Evaluating MLIP energies on the same DFT geometries, probe how similar the PES is. Answer the question: Given a decent DFT energy profile, can the MLIPs reproduce the relative energy along that path? It's crucial for the reactive MD. 100
Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025DFT was used to locate transition states and minima; UMA and Orb-v3 single-point energies were computed on the same structures with DFT. 000
Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025TS1 is located by DFT (black line). Red and green lines are from Orb-v3 and UMA. 000
Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025A failure case for deep-learning potential: the TS1 geometry is so weird that UMA and Orb-v3 underestimate the barrier by ~15 kcal/mol, likely because it far from the training set. Handling chemical reactions is extremely hard for general deep learning models. #compchem #compchemsky 542
Xin@QuantumChem @xinquantum.bsky.social · 22/10/2025UMA (small model) is very close to DFT M06-2X. Maybe I can deploy nanoreactors using UMA model for coarse reaction space sampling. This is a reactive trajectory of a compound with 24 Carbon atoms. #CompChem #ChemChemSky 150
Xin@QuantumChem @xinquantum.bsky.social · 06/08/2025playground.tracto.ai/playground/n... The newly released open-source model from OpenAI can be tried on TractoAI playground for *FREE*.playground.tracto.aiTractoAI | Cloud platform for AI and Data teamsRun AI and Data workloads in the cloud at scale 011
Xin@QuantumChem @xinquantum.bsky.social · 01/08/2025This old theory is revitalized by deep learning. Building accurate kinetic energy functionals (< 0.5 kcal/mol) may be harder than climbing to the top of exchange-correlation Jacob's ladder.🪜 030
Xin@QuantumChem @xinquantum.bsky.social · 27/07/2025Cunning ChatGPT bypassing 3D depth analysis, and calling the rdkit function to generate the coordinate of an Ibuprofen. Grok3 just failed this test and misrecognized it as glucose, as expected. 020
Xin@QuantumChem @xinquantum.bsky.social · 23/07/2025Boltz2 can be run on a $430 RTX5060 Ti (16G) card, although it's much slower than ~$30,000 H100 (RTX 5060 Ti: 1min 47s, H100: 18s), but it doesn't matter, because the cold-start time is about 1 minute for both cards. #CompChemSky #CompChem #GPU 020
Xin@QuantumChem @xinquantum.bsky.social · 12/07/2025This is a transition state structure (red is oxygen, blue is Nitrogen, Green is Nicle) of C-N splitting reaction. Create a deamon around the structure breaking the C-N bond. 010
Xin@QuantumChem @xinquantum.bsky.social · 12/07/2025This is creepy, but lots of fun. Gemini Veo has a perception of spatial depth and can rotate the molecules. Inspired by www.youtube.com/watch?v=mDyt... #compchem #compchemsky 151
Xin@QuantumChem @xinquantum.bsky.social · 11/07/2025It should be the warm start. AIMNet2's model downloading and loading are also fast. t0 = perf_counter() E=mol.get_total_energy() t1 = perf_counter() 000
Xin@QuantumChem @xinquantum.bsky.social · 09/07/2025Correctness: AIMnet2 should be AIMNet2. Single-point energy calculation. 000
Xin@QuantumChem @xinquantum.bsky.social · 09/07/2025Just run the following command in Colab. Works fine! !uv pip install --system git+https://github.com/aligfellow/vib_analysis.git 000
Xin@QuantumChem @xinquantum.bsky.social · 09/07/2025I ran a benchmark on a protein with ~3450 atoms. AIMnet2 takes 4.6 seconds, and UMA(small) takes 7.9 seconds. CUDA 12.4 on a Tesla T4. Additionally, the AIMnet2 checkpoint file is only 11.1 MB. The testing notebook link is shared. #compchemsky #compchem colab.research.google.com/drive/1g1PiW...colab.research.google.comGoogle Colab 280
Xin@QuantumChem @xinquantum.bsky.social · 05/07/2025This is a very interesting package. I will try this on colab notebook. 131