🤗⚛️ Join the @entalpic_ai Team ⚛️🤗
At Entalpic, we combine MLIP, generative models, quantum simulations and lab experiments to optimise carbon intensive industrial processes and develop the next-generation materials.
⚠️ We are specially looking for ⚠️
* (Senior and Intern) ML/Data Scientist for Chemistry
* (Senior) Material Scientist - ML for Electrochemistry & batteries
* (Intern) Material Scientist - ML for Structure<-->Process relationships
Apply 👇🏻
https://t.co/F0t1Xwr5HA
🚨 Job alert 🚨
@entalpic_ai is hiring a Computational Chemist to lead ML-driven material discovery for liquid-phase chemical systems -- focusing on redox-active molecules, electrolytes, and molecule-solvent interactions. You will work at the interface of ML, computational chemistry, and experimental validation.
Apply here to join our team of ~20 persons in our Paris offices 👉
https://t.co/NxfOk8TjNt
A Message from Entalpic
Entalpic is pausing X activity for 3 months to assess its alignment with our values of transparency, sustainability, and innovation.
Stay connected with us on LinkedIn and BlueSky.
Thank you for supporting our journey toward a sustainable future! 💡🌍
📢@entalpic_ai is opening a new position: Material Scientist, ML for material synthesis prediction - to join our team in Paris ! The role involves bridging the gap between simulations and experimental data!
Please share this thread & reach out if you are interested
Last shout 👉 Initiatives we are relying on (Materials Project, Alexandria, OQMD) all use CC-BY-4.0 license (https://t.co/1LZSPjBoPU) and should therefore by credited accordingly when using LeMaterial.
Big News in AI4Science! ✨
We are thrilled to launch LeMaterial, an open-source project in collaboration with @huggingface to accelerate materials discovery ⚛️🤗
Discover LeMat-Bulk: a 6.7M-entry dataset standardizing and unifying Materials Project, Alexandria and @TheOQMD
📈 With a special credit to Materials Project, from which we used different great open-source tools for the phase diagrams showcasing LeMat-Bulk: Pymaten (https://t.co/3LLYQj6nEE) and Crystal Toolkit (https://t.co/p4PTemYo8K)
🚀 After 2 successful editions, the @LoGMeetupParis is back! 🤗
Whether you’re in academia or industry, it's a great chance to connect with the Graph ML community and explore cutting-edge research💥
📅 To attend or present your work 👉 https://t.co/85zhEqS96p
Exciting news from our portfolio!
@entalpic_ai has secured €8.5 million in seed funding. We're proud to lead this investment alongside @BreegaVC & @felicis
Thrilled to support the transformation of the chemical industry.
Cc @denisbarrier
🚀 Exciting news! We have raised 8.5M€ in seed funding to advance AI-driven materials discovery for more sustainable industries.
Next steps:
✅ Recruit top talent
✅ Train ML models
✅ Run lab experiments
✅ Make groundbreaking discoveries 🤞
[ENTREPRENEURSHIP]
Kudos to @entalpic_ai startup cofounded by alumnus Alexandre Duval (MSc in Artificial Intelligence)
Has announced 8.5m€ seed to pioneer AI solutions for decarbonizing industrial chemistry
All details: https://t.co/ZUqPomcOrp
cc @21st_by_CS
Spotted in the streets of Vienna last week 👀
But not just sightseeing 😅
We presented 3 papers at @icmlconf + gave a talk & participated in a panel at the AI4Mat workshop ! All on AI for materials discovery, covering predictive and generative models for crystals/catalysts 😇
Here are the papers in question:
- PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design
- Crystal-GFN: sampling crystals with desirable properties and constraints
- Improving Molecular Modeling with Geometric GNNs: an Empirical Study
[Job Offer][#GeometricGNNs][#AIForClimate]
@entalpic_ai develops a generative AI platform to discover new materials and reduce the carbon emissions of industrial chemistry processes 🔥.
We’re looking for a talented ML Engineer focused on Geometric GNNs for atomic graphs ⬇️