#MachineLearningScienceandTechnology
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piermorgante.bsky.social
Borrowing @profvlilienfeld.bsky.social’s signature saying, I am super pumped to be at the #ML4PS workshop representing #MachineLearningScienceandTechnology So many contributions this year!!! Check out the focus collection associated with the workshop iopscience.iop.org/collections/...
December 15, 2024 at 4:29 PM
iopp-mlresearch.bsky.social
In this #MachineLearningScienceandTechnology article (with a sprinkle of @iopp-quantum.bsky.social), Sgroi and coworkers design a chain of particles that achieves efficient excitation-transfer performances using a #transferlearning approach. Read it here: iopscience.iop.org/article/10.1...
Figure 2 of the article, showing a 'Sketch of the physical problem: two mutually interacting particles, A and B, undergo excitation-transfer processes from A, initially prepared in its excited state, to B. The latter is also incoherently coupled to a sink. We consider this as a starting configuration for the building up of a network: one by one, we add particles between A and B and seek for the potential increase of the excitation-transfer efficiency. The inter-particle interactions depends on their relative positions.'
May 8, 2025 at 4:59 PM
piermorgante.bsky.social
I couldn't think of a greater way to start the week: "LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction" (@adjiboussodieng.bsky.social and @jae3goals.bsky.social) is out in #MachineLearningScienceandTechnology 🤩 #EditorsLife
iopscience.iop.org/article/10.1...
May 5, 2025 at 12:36 PM
piermorgante.bsky.social
Would you accept self-nominations for a journal editor? 😬(#MachineLearningScienceandTechnology, thanks for being a board member for our journal, and nice to connect with you here!) @kylecranmer.bsky.social is also here and so is MLST’s publisher @sara-bebbington.bsky.social 😊
November 15, 2024 at 12:57 AM
piermorgante.bsky.social
Kudos and special shout out to the #AI4Mat workshop, who packed a full house yesterday. If you missed the workshops, check out some exciting papers in the #MachineLearningScienceandTechnology journal (iopscience.iop.org/collections?...) 🥳
IOPscienceSearchNext 10 results
iopscience.iop.org
December 16, 2024 at 2:19 AM
piermorgante.bsky.social
Did you know that we publish #benchmark papers? We also publish #dataset and #challenges articles. Check them out here! publishingsupport.iopscience.iop.org/journals/mac...
#MachineLearningScienceandTechnology
iopp-mlresearch.bsky.social IOPP Machine Learning and AI @iopp-mlresearch.bsky.social · Apr 9
Check out this recently published MLST Benchmark, identifying scenarios where modern SBI methods outperform classical techniques in parameter inference for spatial-stochastic models of developmental biology systems.
#AI #inference #optimization

Paper: iopscience.iop.org/article/10.1...
April 10, 2025 at 1:52 PM
piermorgante.bsky.social
Excited to be there! Reach out if you want to have a chat about #MachineLearningScienceandTechnology (MLST), #IOPPublishing or anything else 😁 Also, check out the #ML4PS focus collection in the MLST journal here if you want an 'appetizer' iopscience.iop.org/collections/...
December 10, 2024 at 5:27 PM
iopp-mlresearch.bsky.social
In this great #MachineLearningScienceandTechnology paper, Setty, Abdusalamov, and Motzoi tackle #differentialequations via self-adaptive, physics-informed #quantumML, a promising step to their near-term evaluation on #quantumdevices.

Read the article here: iopscience.iop.org/article/10.1...
Figure 8 of the Machine Learning: Science and Technology paper by Setty, Abdusalamov, and Motzoi shows the solution of the 2D Poisson equation. Head to the website for additional information.
April 18, 2025 at 6:22 PM
piermorgante.bsky.social
I am really excited to share that the review 'Molecular quantum chemical data sets and databases for #MachineLearning potentials' (by A. Ullah, Y. Chen, and P. Dral) was just published in #MachineLearningScienceandTechnology #compchem #ChemSky #CompChemSky iopscience.iop.org/article/10.1...
A screenshot of the review article titled 'Molecular quantum chemical data sets and databases for machine learning potentials' just published in the Machine Learning: Science and Technology journal published by IOP Publishing (link in main post)
November 20, 2024 at 8:14 PM
iopp-mlresearch.bsky.social
Have you ever wondered how to estimate uncertainties in #LHC data analyses? In this #MachineLearningScienceandTechnology article, Schöfbeck introduces a new framework aided by #MachineLearning. Check it out!

Paper: iopscience.iop.org/article/10.1...
April 21, 2025 at 7:02 PM
iopp-mlresearch.bsky.social
Great new paper in #MachineLearningScienceandTechnology 🚨Optimal #spectroscopic measurement design: #Bayesian framework for rational #data acquisition

From researchers at Osaka Uni and Institute of Statistical Mathematics, Japan

Paper ➡️ iopscience.iop.org/article/10.1...
May 20, 2025 at 9:29 PM
iopp-mlresearch.bsky.social
In this #MachineLearningScienceandTechnology article, Scapicchio and co-authors adapted the enhanced super-resolution generative adversarial network (ESRGAN) to #microscopy images. Read more about the results in their paper, iopscience.iop.org/article/10.1... #SuperResolutionMicroscopy #cells
Figure 6 from the article, with caption: Comparison between the generated images using models from trainings A1 and B1 on β-Tubulin-1 dataset. (a) Widefield or LR image, (b) ground truth or HR image, (c) generated image using the model from training A1, PSNR: 11±2, SSIM: 0.5±0.4, (d) generated image using the model from training B1, PSNR: 14±2, SSIM: 0.6±0.3. In (e), the overlay of the inference obtained with training B1 model (c, yellow) and the reference STORM image (b, green).
April 30, 2025 at 5:57 PM
iopp-mlresearch.bsky.social
🔎Great new work in #MachineLearningScienceandTechnology !

A multiscale #Bayesian approach that turns few X-rays into comprehensive chemical maps
Researchers from @heriotwattuni.bsky.social, EPFL & DQMP, Uni of Geneva

Read the full paper ➡️ bit.ly/4lKMwoX
#Multiscale #Electron #Microscopy #Denoising
July 10, 2025 at 12:21 PM
iopp-mlresearch.bsky.social
🚨 #Benchmark paper alert! 🚨

@andreniyongabo.bsky.social, Kangming Li, @adjiboussodieng.bsky.social and @jae3goals.bsky.social pave the way for #benchmarking #LLMs for materials property prediction with their LLM4Mat-Bench #MachineLearningScienceandTechnology
Read the paper here: bit.ly/43nxfnW
June 2, 2025 at 3:13 PM
piermorgante.bsky.social
I always enjoy when #compchem articles get published in #MachineLearningScienceandTechnology 😊 #CompChemSky
iopp-mlresearch.bsky.social IOPP Machine Learning and AI @iopp-mlresearch.bsky.social · Aug 1
#MachineLearning (ML) for orbital-free density functional theory (OF-DFT) and OF-DFT for ML. Manzhos and coworkers tackle the kinetic energy functional in this new #MachineLearningScienceandTechnology article. #compchem #CompChemSky Read it here: bit.ly/45eGM0f
August 1, 2025 at 2:25 PM
iopp-mlresearch.bsky.social
⚛️Great new #MLST article on ‘Evidential #DeepLearning for #UncertaintyQuantification and #AnomalyDetection in Jet Identification’
From University of Illinois Urbana-Champaign researchers @markneubauer.bsky.social

Paper ➡️http://bit.ly/3TMiu8A

#MachineLearningScienceandTechnology #machinelearning
July 18, 2025 at 10:07 AM
piermorgante.bsky.social
A delight to finally meet (in person) the one and only @kylecranmer.bsky.social at #NeurIPS2024 Super excited for the #AI4Mat workshop tomorrow and #MachineLearning for the #PhysicalSciences on Sunday!!! #MachineLearningScienceandTechnology
A selfie of myself (on the left) and Prof. Kyle Cranmer, editor-in-chief of Machine Learning: Science and Technology, an IOP Publishing journal.
December 14, 2024 at 12:22 AM
piermorgante.bsky.social
#MachineLearningScienceandTechnology published paper hits the (MIT) News! This article (iopscience.iop.org/article/10.1...) is one of my personal favorites. As a classical musician turned scientist, I would have never thought of reading anything that relates science and Beethoven's 9th symphony 😍
Graph-based AI model maps the future of innovation
An AI method developed by MIT Professor Markus Buehler finds hidden links between science and art to suggest novel materials.
news.mit.edu
November 13, 2024 at 1:39 PM
piermorgante.bsky.social
#MachineLearningScienceandTechnology game 👾: Who can find @kylecranmer.bsky.social (easy) and @pavlodral.bsky.social (a little harder) in this picture? 🤩
iopp-mlresearch.bsky.social IOPP Machine Learning and AI @iopp-mlresearch.bsky.social · Apr 30
Thank you for a great day at our "AI-driven discoveries: Machine Learning for the Physical Sciences" workshop!

🦾We really enjoyed learning and exploring some of the hottest topics in #AI and #MachineLearning with all of you.

👉 ow.ly/iLsf50V2Kvk

@kylecranmer.bsky.social @pavlodral.bsky.social
April 30, 2025 at 5:49 PM
piermorgante.bsky.social
It is a honor to serve this community. Thank you so much for publishing with us, @mathildepapillon.bsky.social 😊
#MachineLearningScienceandTechnology
mathildepapillon.bsky.social Mathilde Papillon @mathildepapillon.bsky.social · Aug 1
Thank you to the excellent team of editors @iopp-mlresearch.bsky.social and our referees for a truly productive peer review process. Highly recommend this up and coming journal for any unsubmitted topical reviews out there!
August 8, 2025 at 2:16 PM
piermorgante.bsky.social
New #ChemSky article in #MachineLearningScienceandTechnology:
"Causality-driven feature selection and domain adaptation for enhancing chemical #foundationmodels in downstream tasks" by E. Soares and co-workers: Read it here iopscience.iop.org/article/10.1... #compchem #CompChemSky #MLST
Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks - IOPscienceSearch
Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks, Soares, Eduardo, Shirasuna, Victor Yukio, Brazil, Emilio Vital, Aquino Gutierrez, Karen Fiorella, Cerqueira, Renato, Zubarev, Dmitry, Schmidt, Kristin, Sanders, Daniel P
iopscience.iop.org
February 4, 2025 at 8:59 PM
piermorgante.bsky.social
#MachineLearningScienceandTechnology board members and where to find them: 🔥🔥🔥 talk by @franknoe.bsky.social in room 258B 🤩 #quantumMC #machinelearning
Picture of the first slide of Frank Noé’s talk at the GPS Global Physics Summit
March 19, 2025 at 4:19 PM
iopp-mlresearch.bsky.social
In this #MachineLearningScienceandTechnology paper, Aarts and coworkers investigated how higher-order moments and cumulants are learnt in #DiffusionModels by
deriving exact expressions for the moment- and cumulant-generating functionals.

Read the article here: iopscience.iop.org/article/10.1...
May 5, 2025 at 5:56 PM
piermorgante.bsky.social
#MachineLearningScienceandTechnology published research at the #APSGlobalPhysics summit in room 204A discussed by Jutta Rogal #MachineLearning (shout-out to @franknoe.bsky.social too ☺️)

iopscience.iop.org/article/10.1...
Jutta Rogal presenting her talk, referencing work published in Machine Learning: Science and Technology (MLST)
March 21, 2025 at 3:57 PM
piermorgante.bsky.social
#MachineLearningScienceandTechnology board members and where to find them: Marylou Gabrié talking in Room 204A and referencing research published in our journal (and a commentary by @profvlilienfeld.bsky.social) #APSGlobalPhysics #MachineLearning
A picture of Marylou Gabrié (far right) and the session chair (Grant Rotskoff, to her right).
March 20, 2025 at 10:17 PM