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Xin@QuantumChem

@xinquantum.bsky.social
185 followers 407 following 92 posts

Computational Chemist @NJ/NYC Github: github.com/XinChenQC

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Xin@QuantumChem @xinquantum.bsky.social · 03/10/2026
Building catalytic surface using LightCone. Desktop version to be released with Direwolf (a quantum chemistry package). #compchemsky lightcone.quanta-bricks.com
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Xin@QuantumChem @xinquantum.bsky.social · 03/10/2026
A molecule and a hero behind.
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Xin@QuantumChem @xinquantum.bsky.social · 24/09/2026
So called "molecule-molecule docking", it should be classified into conformer searching. Visualization: lightcone.quanta-bricks.com
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Xin@QuantumChem @xinquantum.bsky.social · 25/08/2026
RiemannMol 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.org
RiemannMol I: Molecular Generation with Learned Latent Metrics | ChemRxiv
Latent-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 ...
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Xin@QuantumChem @xinquantum.bsky.social · 14/05/2026
Found these two books in a Boston vintage bookstore. #physics #compchemsky #compchem #quantum
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Xin@QuantumChem @xinquantum.bsky.social · 03/05/2026
Yes, 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.
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Xin@QuantumChem @xinquantum.bsky.social · 03/05/2026
Data source: github.com/samplchallen...
github.com
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Xin@QuantumChem @xinquantum.bsky.social · 03/05/2026
Testing 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
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Xin@QuantumChem @xinquantum.bsky.social · 23/04/2026
Catalytic surface editing is pretty easy on LightCone interface. Good for heterogeneous cat. system building. #compchemsky #compchem
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Xin@QuantumChem @xinquantum.bsky.social · 27/03/2026
Always start from the 7th column. #compchemsky #compchem
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Xin@QuantumChem @xinquantum.bsky.social · 13/02/2026
Created by Gemini nano banana.
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Xin@QuantumChem @xinquantum.bsky.social · 13/02/2026
Two 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
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Xin@QuantumChem @xinquantum.bsky.social · 06/02/2026
The magic of VMD. 😄
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Xin@QuantumChem @xinquantum.bsky.social · 06/02/2026
My mom picks (A).
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Xin@QuantumChem @xinquantum.bsky.social · 06/02/2026
Which material/style do you prefer? #compchem #compchemsky
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Xin@QuantumChem @xinquantum.bsky.social · 01/02/2026
$12,000 QED book
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Xin@QuantumChem @xinquantum.bsky.social · 20/01/2026
A better example than the compound starts with M.
media.tenor.com
a 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 .
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Xin@QuantumChem @xinquantum.bsky.social · 20/01/2026
Extreme 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.
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Xin@QuantumChem @xinquantum.bsky.social · 11/01/2026
Is it a QM/ML embedding?
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Xin@QuantumChem @xinquantum.bsky.social · 11/01/2026
Phenomenal
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Xin@QuantumChem @xinquantum.bsky.social · 04/12/2025
Good alignment
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Xin@QuantumChem @xinquantum.bsky.social · 28/11/2025
Final Effect
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Xin@QuantumChem @xinquantum.bsky.social · 28/11/2025
When 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
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Xin@QuantumChem @xinquantum.bsky.social · 23/11/2025
In 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
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Xin@QuantumChem @xinquantum.bsky.social · 16/11/2025
I 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."
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Xin@QuantumChem @xinquantum.bsky.social · 16/11/2025
Wetlab 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
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Xin@QuantumChem @xinquantum.bsky.social · 09/11/2025
Centuries 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
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Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025
Yesterday 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
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Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025
Sorry this post is incorrect. I accidentally copied the TS3 structure into TS1. The corrected results should be:
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Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025
THIS POST is wrong: I wrongly copied the TS3 structure into TS1 in this post. The corrected results profile should be
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Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025
Oh, 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.
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Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025
This 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.
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Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025
DFT was used to locate transition states and minima; UMA and Orb-v3 single-point energies were computed on the same structures with DFT.
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Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025
TS1 is located by DFT (black line). Red and green lines are from Orb-v3 and UMA.
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Xin@QuantumChem @xinquantum.bsky.social · 02/11/2025
A 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
TS1
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Xin@QuantumChem @xinquantum.bsky.social · 22/10/2025
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Xin@QuantumChem @xinquantum.bsky.social · 22/10/2025
UMA (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
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Xin@QuantumChem @xinquantum.bsky.social · 13/08/2025
I'd like to name it as "QM/MM".
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Xin@QuantumChem @xinquantum.bsky.social · 06/08/2025
playground.tracto.ai/playground/n... The newly released open-source model from OpenAI can be tried on TractoAI playground for *FREE*.
playground.tracto.ai
TractoAI | Cloud platform for AI and Data teams
Run AI and Data workloads in the cloud at scale
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Xin@QuantumChem @xinquantum.bsky.social · 01/08/2025
This 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.🪜
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Xin@QuantumChem @xinquantum.bsky.social · 27/07/2025
Cunning 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.
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Xin@QuantumChem @xinquantum.bsky.social · 23/07/2025
Boltz2 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
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Xin@QuantumChem @xinquantum.bsky.social · 14/07/2025
Kvass and Khinkali
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Xin@QuantumChem @xinquantum.bsky.social · 12/07/2025
This 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.
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Xin@QuantumChem @xinquantum.bsky.social · 12/07/2025
This 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
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Xin@QuantumChem @xinquantum.bsky.social · 11/07/2025
It 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()
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Xin@QuantumChem @xinquantum.bsky.social · 09/07/2025
Correctness: AIMnet2 should be AIMNet2. Single-point energy calculation.
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Xin@QuantumChem @xinquantum.bsky.social · 09/07/2025
Just run the following command in Colab. Works fine! !uv pip install --system git+https://github.com/aligfellow/vib_analysis.git
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Xin@QuantumChem @xinquantum.bsky.social · 09/07/2025
I 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.com
Google Colab
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Xin@QuantumChem @xinquantum.bsky.social · 05/07/2025
This is a very interesting package. I will try this on colab notebook.
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