Etienne Palos
@EtiennePalos
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PhD candidate @PaesaniLab @UCSanDiego | @NSF GRFP & @SloanFoundation | @ThinkSwiss fellow @unifrChemistry | B.S. @UNAM_MX
Tijuana/San Diego
Joined January 2018
huge accomplishment & example of how computer simulation, keeping the physics close, can provide a clear path for experiment in solving long-standing fundamental questions 👏🥳
🚨 BREAKING: Water’s coolest mystery, solved! 🌊 Our latest study, published in @NaturePhysics, provides the most realistic molecular picture of supercooled #water to date! 🚀 👉 Enabled by our MB-pol #datadriven #manybody potential, we have achieved, for the first time, CCSD(T)-level accuracy for microsecond-long simulations, allowing us to resolve one of the most debated questions in water research: Does supercooled #water have a liquid–liquid critical point?💧❄️ Main results: ✅ We predict a liquid–liquid critical point at ~200 K and ~1,250 atm, consistent with experimental extrapolations where direct measurements of water’s phase behavior are possible. ✅ Our simulations provide compelling evidence that water can exist in two distinct liquid phases at low temperatures and high pressures, resolving a three-decade-long scientific puzzle. ✅ These findings open the door for experimental validation, including potential measurements in nanodroplets. Why is this important? For over 30 years, the existence and precise location of this critical point have been hotly debated. Our MB-pol #datadriven #manybody simulations set a new benchmark for predicting water’s phase behavior across thermodynamic conditions and environments. 🏄♀️ Beyond fundamental science, our results pave the way for realistic simulations of water-mediated processes in: 🌧️ Atmospheric and environmental chemistry (e.g., cloud formation, climate modeling) 🌎 Geochemistry and planetary science (e.g., water in extreme conditions) 🧬 Biophysics and biochemistry (e.g., water’s role in biology) 🔬 Materials science (e.g., aqueous solutions in energy applications) We are very grateful to @AFOSR for funding this research through our "MURI: Unraveling the Mechanisms of Ice Nucleation and Anti-Icing through an Integrated Multiscale Approach", and to @DoD_HPCMP, @ACCESSforCI, and @SimonsFdn for providing #GPU and #CPU time! @UCSanDiego @UCSDPhySci @UCSDChemBiochem @HDSIUCSD @SDSC_UCSD
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giant congrats to Richa + team!!! 🔥
🚨 New Paper Alert! 🚨 We're thrilled to share our latest work, in collaboration with the Kumar group at Louisiana State University (@LSU), published in ACS Nano (@acsnano) today! ✨ 👉 Using approximate quantum simulations with our MB-pol #datadriven #manybody potential, we uncover how #water organizes at both neutral and charged graphene surfaces. 🖥️ The vibrational sum-frequency generation (#vSFG) spectrum of #water at neutral graphene reveals a distinctive dangling OH peak, while charged graphene drives #water molecules to align their OH bonds away from positive surfaces and toward negative ones. 🌊 These structural shifts ripple through deeper layers, reshaping the underlying hydrogen-bonding network of #water and resulting in distinct #vSFG spectral features.⚡️ Given MB-pol’s realism, which enables direct 1-to-1 comparisons with experiments, we believe our findings offer valuable molecular insights to guide the design of materials for energy storage, catalysis, and filtration. 🔦Future work will explore these exciting directions. Stay tuned! 🏄♀️ We are very grateful to @NSF for funding this research and @ACCESSforCI for providing #GPU and #CPU time! @UCSanDiego @UCSDPhySci @UCSDChemBiochem @HDSIUCSD @SDSC_UCSD @LSU_Chemistry
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RT @nagyrpeter: Great collab with @TCPUniLu on large complexes, representing common intermolecular interactions on protein-ligand surfaces,…
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RT @MikPavanello: ✅ Do you have a PhD in #compchem or #physics? ✅ Is electronic structure your obsession? ✅ Do you love to code? ➡️ You…
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RT @PaesaniLab: 🎉 Kicking off 2025 with a bang! 🎉 Our first paper of the year is now published in @J_A_C_S! ✨ 👉 C…
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RT @PaesaniLab: 🚨 New preprint on @ChemRxiv 🚨 👉 We're thrilled to unveil the final version of MBX v1.2! This rele…
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RT @marceldotsci: New: Fast and flexible range-separated models for atomistic machine learning, spearheaded by Kevin and Philip, with many…
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Thank you very much! It was an honor to give a talk at @SwissChemistry symposium on “Critical use of AI in Quantum Chemistry” , discussing the synergy between qc developments and upsacling them @PaesaniLab A wonderful community, and quite the time to be alive!
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RT @timgould_scienc: Has only taken a year and a bit to get this one out - LDA for excited states. It's a long and comprehensive treatment…
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RT @TitouLoos: [2411.07352] Efficient Implementation of the Random Phase Approximation with Domain-based Local Pair Natural Orbitals #compc…
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Had a fantastic Friday at @UZH_Chemistry! Presented our work on density-corrected DFT based simulations to an incredibly engaging audience of experimentalists & theorists [great Q&A]! Huge thanks to Prof. Hutter & @stefabat for the warm welcome! And check out this poster!
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RT @stefan_theochem: Join us on 25th of November in Fribourg for a synposium on the use of AI in quantum chemistry. Registration ends soon.
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This week, I had the privilege of visiting @uni_lu where I spent two full days with the @TCPUniLu group. Thank you @AlexTkatchenko and @TCPUniLu for the warm hospitality, and invigorating scientific discussions!
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It was great meeting you @AlmazKhabi97 and learning about your fundamental work on NCIs — I find it quite inspiring! Looking forward to following your next steps!
Our new work 'Noncovalent Interactions in Density Functional Theory: All the Charge Density We Do Not See' is now out on @ChemRxiv! It is sharing novel insights about vdW-induced polarization of electron density. #compchem #dft
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Congratulations to Richa for this awesome work!! Check it out! 🥶❄️
🚨 New Preprint Alert! 🚨 👉 We’re thrilled to share our latest #compchem work, now live on @ChemRxiv! 🎉 In this study, we've combined our MB-pol #datadriven #manybody potential with the Te-PIGS #machinelearning representation of nuclear quantum effects to characterize the molecular structure of the #air/#ice interface.❄️ By dissecting the vibrational sum-frequency generation (vSFG) spectrum ⚡️ into individual molecular layers, orientations, and hydrogen-bonding topologies, we've determined how the quasi-liquid layer (#QLL) at the surface of #ice forms and evolves with temperature.🧊 Our analyses reveal how hydrogen-bonding and surface restructuring shape the topmost layers of the #ice surface, playing a key role in mediating chemical and physical processes across diverse fields, from atmospheric chemistry 🌎 to materials science 🔬 and cryopreservation.🧬 @UCSanDiego @UCSDPhySci @UCSDChemBiochem @HDSIUCSD @SDSC_UCSD
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RT @JChemPhys: New version of i-PI is out: faster and ready for the machine-learning era in atomistic simulations. New features enabling re…
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Here it is, folks! We @PaesaniLab published a "one-stop-shop" review on the MB-pol many-body model in @JCIM_JCTC ! It dives "under the hood" of MB-pol & data-driven many-body potentials, performance, and the many "successes" of MB-pol over the years
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