Rodrigo A. Vargas-Hdz
rovargash.bsky.social
Rodrigo A. Vargas-Hdz
@rovargash.bsky.social

PhysChem + ML | Assistant Prof. at McMasterU
| 🇲🇽 emigrant living in 🇨🇦 | Amateur cyclist on weekends | views my own
https://chemai-lab.com/

Environmental science 59%
Geography 15%
Pinned
#compchemsky & #chemsky
the inaugural post :)
The three last papers to get a flavor of what we do, Chem-ChemBio Dept at #McMasterU
NFlows for OFDFT:
iopscience.iop.org/article/10.1...
GFlowNets for QComp: arxiv.org/abs/2410.16041
Multi-modal for molecule elucidation: chemrxiv.org/engage/chemr...

Carbonic café around the corner is a super coffee shop!

🔥 Fresh out of the arXiv oven — new work from the ChemAI-Lab!

“Spectral Analysis of Molecular Kernels: When Richer Features Do Not Guarantee Better Generalization”

👉 arxiv.org/abs/2510.14217

#compchem
@mcmasteruniversity.bsky.social @bimr-mcmaster.bsky.social
Spectral Analysis of Molecular Kernels: When Richer Features Do Not Guarantee Better Generalization
Understanding the spectral properties of kernels offers a principled perspective on generalization and representation quality. While deep models achieve state-of-the-art accuracy in molecular property...
arxiv.org

🚨 New paper accepted at #NeurIPS2025 #ML4Phys!

We propose Meta-Learning Fourier Neural Operators to approximate inverse Hessians for variational data assimilation.
Meta-Learning Fourier Neural Operators for Hessian Inversion and Enhanced Variational Data Assimilation
Data assimilation (DA) is crucial for enhancing solutions to partial differential equations (PDEs), such as those in numerical weather prediction, by optimizing initial conditions using observational ...
arxiv.org

🚨 New on arXiv!
We adapt GFlowNets for measurement optimization in quantum computing
Generative, diverse, & hardware-aware groupings → fewer shots, flexible trade-offs.
📄 arxiv.org/abs/2509.15486

@ishume.bsky.social

#compchem #chemsky

Reposted by Rodrigo Vargas

Isaac L. Huidobro-Meezs, Jun Dai, Rodrigo A. Vargas-Hern\'andez
Discrete Flow-Based Generative Models for Measurement Optimization in Quantum Computing
https://arxiv.org/abs/2509.15486

Exciting news! 🎉

My student, @ishume.bsky.social , has been selected as one of the 2025 @sandboxaq.bsky.social Scholarship Recipients!

We can’t wait to show you what GenAI can do for quantum computing, stay tuned!!

www.sandboxaq.com/company/scho...
@mcmasteruniversity.bsky.social
SandboxAQ Scholarship Program
SandboxAQ is proud to announce the launch of two exciting initiatives designed to support PhD students pursuing cutting-edge research in AQ (AI and Quantum) technology.
www.sandboxaq.com

Reposted by Rodrigo Vargas

#compchem Good read: MOLPIPx: An end-to-end differentiable package for permutationally invariant polynomials in Python and Rust #compchemsky doi.org/10.1063/5.02...
MOLPIPx: An end-to-end differentiable package for permutationally invariant polynomials in Python and Rust
In this work, we present MOLPIPx, a versatile library designed to seamlessly integrate permutationally invariant polynomials with modern machine learning framew
doi.org

Reposted by Rodrigo Vargas

🌟Call for Papers: JGR Biogeosciences Special Collection🌟
"Biogeosciences Leaders of Tomorrow"

📅 Deadline: Feb 7, 2025

Nominate early-career & underrepresented biogeoscientists for this special issue spotlighting emerging leaders in the field.

🔗: agupubs.onlinelibrary.wiley.com/hub/journal/...
Journal of Geophysical Research: Biogeosciences Call for Papers: Biogeosciences Leaders of Tomorrow
<em>Journal of Geophysical Research: Biogeosciences</em> is an AGU journal publishing papers on the biogeosciences of the Earth system and the extension of this research to planetary studies.
agupubs.onlinelibrary.wiley.com

🚀BayesOpt for "large" Coarse-Grained Models!

BayesOpt enabled the optimization of a 41-parameter CG model without traditional heuristics or task decomposition.
arxiv.org/abs/2506.22533
#compchem #AI4Science #machinelearning
Scalable Bayesian Optimization for High-Dimensional Coarse-Grained Model Parameterization
Coarse-grained (CG) force field models are extensively utilised in material simulations due to their scalability. Traditionally, these models are parameterized using hybrid strategies that integrate t...
arxiv.org

Reposted by Rodrigo Vargas

We’ve landed on BlueSky! Welcome to the Brockhouse Institute for Materials Research at McMaster University. On this account we will be sharing about upcoming events, recent work from our members, and all things related to the Institute. Follow along!

Reposted by Benjamin I. Cook

☀️New research in Environmental Research Letters

We show how climate limits the CO₂ fertilization effect on forest productivity. Warming may ease this in boreal zones, but tropical forests face a tougher tradeoff.

Read here: iopscience.iop.org/article/10.1...

#ClimateScience #Forests #CarbonCycle
Climate constrains the enhancement of CO2 fertilization on forest gross primary productivity - IOPscienceSearch
Climate constrains the enhancement of CO2 fertilization on forest gross primary productivity, Wei, Xinyuan, Hayes, Daniel J, Schwalm, Christopher R, Fisher, Joshua B, Huntzinger, Deborah N, Ma, Lei, Vargas, Rodrigo, Brunsell, Nathaniel A
iopscience.iop.org

New paper with an incredible group of colleagues ✅

@cleanaircatf.bsky.social
🚨BREAKING🚨

Weak forest carbon credit protocols undermine trust in carbon markets. In a new study, leading scientists recommend ways to strengthen standards to ensure lasting climate impacts.

forestcarbonprotocols.org
Forest Carbon Protocols – An evaluation of 20 forest carbon credit protocols
An evaluation and scorecard of 20 forest carbon credit protocols that demonstrate most protocols are not strong enough.
forestcarbonprotocols.org

@cleanaircatf.bsky.social
convened a group of forest carbon experts and we reviewed carbon offset protocols for improved forest management projects in North America.

The paper is out today in Earth's Future.

agupubs.onlinelibrary.wiley.com/doi/10.1029/...
agupubs.onlinelibrary.wiley.com

Reposted by Rodrigo Vargas

🚨BREAKING🚨

Weak forest carbon credit protocols undermine trust in carbon markets. In a new study, leading scientists recommend ways to strengthen standards to ensure lasting climate impacts.

forestcarbonprotocols.org
Forest Carbon Protocols – An evaluation of 20 forest carbon credit protocols
An evaluation and scorecard of 20 forest carbon credit protocols that demonstrate most protocols are not strong enough.
forestcarbonprotocols.org

I had fun :) Thanks for inviting me!

Congratulations to the new PhD @guillemsimeon.bsky.social !!
From a NEURIPS poster discussion to being invited to his PhD exam!!

Thanks for inviting us :)

Reposted by Rodrigo Vargas

Wonderful talk and discussion by Alexandre de Camargo from @rovargash.bsky.social group at #QuNB group meeting this morning, sailing us through a #NormalizingFlow perspective of #Orbital-FreeDFT. More details at: dx.doi.org/10.1088/2632... #chemsky #theochem #ml4chem

Happy Quantum Day??

Beer is better haha

Claro que tengo un poco de nervios de mi plática mañana!
Pero tmb ando bn emocionado!!! :)

El próximo viernes en el Instituto de Física en mi amada UNAM!!

New publication from PhD student Manan Sarupria in #RSE.

A novel spectral unmixing method for high-accuracy land cover quantification.

Read the full paper (free for 50 days!):

authors.elsevier.com/a/1kZmn_o69J...

Did you listen to DT’s new song???

One of my former supervisors said that seminars should be between Tuesday and Thursday so no one travels during the weekend. I kind of agree with this too

Reposted by Rodrigo Vargas

The world is on 🔥 -- and here's my first publication in an astronomy journal: iopscience.iop.org/article/10.3...

We combine Gaussian processes + hidden Markov models to efficiently detect stellar flares in one modelling step. 🧪