Machine Learning: Science and Technology’s Tweets

Pinned Tweet

Machine Learning: Science and Technology

@MLSTjournal

·

Jul 6, 2022

@MLSTjournal

is now ranked in Q1 of the JCR with a first IF of 6.013. Thanks to all of our Board members, authors and supporters for making this happen - we look forward to serving the #machinelearning community for years to come! #AI #compchem #quantum #materials #compphys #HEP

Kyle Cranmer and 9 others

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Machine Learning: Science and Technology Retweeted

Akshat Nigam

@akshat_ai

·

1h

Always a pleasure to be highlighted by

@MLSTjournal

😄

Quote Tweet

Machine Learning: Science and Technology

@MLSTjournal

·

1h

NOW >3K DOWNLOADS! 'Curiosity in exploring chemical spaces: intrinsic rewards for molecular #reinforcementlearning' by @A_Aspuru_Guzik @MarioKrenn6240 @akshat_ai @UofTCompSci @VectorInst @CIFAR_News @MPI_Light @Stanford - https://bit.ly/3cHO9pe #compchem #machinelearning #AI

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Machine Learning: Science and Technology Retweeted

Maurizio Pierini

@xmpierinix

·

1h

@hls4ml

is trending

Quote Tweet

Machine Learning: Science and Technology

@MLSTjournal

·

1h

See what's trending in @MLSTjournal right now at https://bit.ly/3Hqem9m featuring @FrankNoeBerlin @eigensteve @PeteWirnsberger @gpapamak @xmpierinix @Thea_kaa @jmgduarte @resnant @kotaro31dix @losnuevetoros #machinelearning #compchem #AI #HEP #particlephysics #materials #HPC

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Machine Learning: Science and Technology Retweeted

斉藤耕太郎 / Kotaro Saito

@kotaro31dix

·

1h

DeepMind, CERN, CalTechと並んで論文紹介ツイートにタグ付けされたスタートアップCEOは珍しいんじゃないかなと思います

Quote Tweet

Machine Learning: Science and Technology

@MLSTjournal

·

1h

See what's trending in @MLSTjournal right now at https://bit.ly/3Hqem9m featuring @FrankNoeBerlin @eigensteve @PeteWirnsberger @gpapamak @xmpierinix @Thea_kaa @jmgduarte @resnant @kotaro31dix @losnuevetoros #machinelearning #compchem #AI #HEP #particlephysics #materials #HPC

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Machine Learning: Science and Technology

@MLSTjournal

·

1h

See what's trending in

@MLSTjournal

right now at https://bit.ly/3Hqem9m featuring

@FrankNoeBerlin

@eigensteve

@PeteWirnsberger

@gpapamak

@xmpierinix

@Thea_kaa

@jmgduarte

@resnant

@kotaro31dix

@losnuevetoros

#machinelearning #compchem #AI #HEP #particlephysics #materials #HPC

DeepMind and 7 others

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Machine Learning: Science and Technology

@MLSTjournal

·

1h

NOW >3K DOWNLOADS!🥳 'Curiosity in exploring chemical spaces: intrinsic rewards for molecular #reinforcementlearning' by

@A_Aspuru_Guzik

@MarioKrenn6240

@akshat_ai

@UofTCompSci

@VectorInst

@CIFAR_News

@MPI_Light

@Stanford

- https://bit.ly/3cHO9pe #compchem #machinelearning #AI

Stanford AI Lab and 9 others

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Machine Learning: Science and Technology

@MLSTjournal

·

21h

'Quantum #neuralnetworks #forcefields generation' by

@quantum_of_me

@oriel_kiss

Sofia Vallecorsa and Ivano Tavernelli

@IBMResearch

@ETH_physics

@ETH_en

@CERNquantum

@CERN

hits 2000 downloads! https://bit.ly/3uUvooR #quantum #machinelearning #compchem #materials #AI #algorithms

IOPmaterials and 8 others

5

Machine Learning: Science and Technology

@MLSTjournal

·

21h

'Incompleteness of graph #neuralnetworks for points clouds in three dimensions' by

@MicheleCeriotti

and Sergey N Pozdnyakov

@lab_COSMO

@EPFL_en

hits 1000 downloads! https://bit.ly/3ALBQBE #machinelearning #compchem #materials #AI #graphs #molecules #HPC

Giuseppe Carleo and 8 others

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Machine Learning: Science and Technology

@MLSTjournal

·

22h

'Unified representation of #molecules and crystals for #machinelearning' by

@_MatthiasRupp

and Haoyan Huo

@fhi_mpg_de

@PKU1898

@UniKonstanz

@BerkeleyMSE

@LIST_Luxembourg

hits 1000 downloads! https://bit.ly/3tRB02e #compchem #materials #condmat #DFT #HPC #AI #neuralnetworks

NoMaD and 8 others

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Machine Learning: Science and Technology

@MLSTjournal

·

22h

NOW >3000 DOWNLOADS!🥳 '#Physics-based representations for #machinelearning properties of #chemicalreactions' by

@puckvg

@albertfabriz

@mdwodrich

@corminboeuf_lab

@NCCR_Catalysis

@nccr_marvel

@epflSB

@EPFL_CHEM_Tweet

https://bit.ly/3s5Ohn4 #compchem #AI #catalysis #quantum #HPC

EPFL and 7 others

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Machine Learning: Science and Technology

@MLSTjournal

·

22h

'Shift-curvature, SGD, and generalization' by Arwen V Bradley, Carlos A Gomez-Uribe and Manish Reddy Vuyyuru

@Apple

hits 500 downloads! https://bit.ly/3Mk9qTO #machinelearning #AI #algorithms #statphys #noise #stochastic #gradient #code #neuralnetworks #HPC

Journal of Physics A and 4 others

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Machine Learning: Science and Technology

@MLSTjournal

·

22h

'Operationally meaningful representations of physical systems in #neuralnetworks' by Hans J Briegel, Renato Renner

@raban_iten

@Arrr______

et al

@ETH_physics

@uniinnsbruck

@NCCR_QSIT

@UniKonstanz

hits 500 downloads! https://bit.ly/3HS8feh #machinelearning #quantum #AI #QML #HPC

Giuseppe Carleo and 8 others

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Machine Learning: Science and Technology Retweeted

Prescient Design

@PrescientDesign

·

Feb 2

Congratulations to

@tagasovska

,

@_romain_lopez_

,

@JoshRackers

,

@samuel_stanton_

,

@juliusadml

,

@arian_jamasb

, Karolis Martinkus,

@kchonyc

, and co-authors for their recently accepted papers to #CLeaR2023, #ICLR2023, #AISTATS, and

@MLSTjournal

! 🎉

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Machine Learning: Science and Technology

@MLSTjournal

·

Feb 2

Great new work by Artan Sheshmani Yi-Zhuang You et al

@HarvardCMSA

@HSE_eng

@SU_HSE

@UCSanDiego

@iaifi_news

@univmiami

- 'Categorical representation learning and #RGflow operators for algorithmic classifiers' - https://bit.ly/3Yk5cQK #machinelearning #fieldtheory #QFT #AI #NLP

National Science Foundation and 4 others

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Machine Learning: Science and Technology Retweeted

IOP Publishing

@IOPPublishing

·

Feb 2

Have you seen the new international #quantum awards from

@IOPPublishing

? The two awards are now open for nominations! Nominations close 15 March 2023. For more information 👉 http://ow.ly/ylKz50MjOCB

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Machine Learning: Science and Technology Retweeted

IOP Publishing

@IOPPublishing

·

Feb 1

"The future of scholarly publishing is open and making universal access to scientific research is a priority for the industry." Daniel Keirs, Head of Journal Strategy and Performance

@IOPPublishing

, discusses the importance and challenges of open data. #AcademicChatter

Quote Tweet

Wonkhe

@Wonkhe

·

Feb 1

NEW on Wonkhe: Daniel Keirs makes the case for open access research data @IOPPublishing https://buff.ly/3kWT75I

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Machine Learning: Science and Technology

@MLSTjournal

·

Feb 1

Great new work by Yongqiang Cheng et al

@ORNLNeutrons

@ORNL_PhysSci

@ORNL

@mit_nse

- 'Direct prediction of inelastic #neutronscattering spectra from the crystal #structure' - https://bit.ly/3HN5rOP #machinelearning #materials #condmat #neutrons #AI #crystallography #HPC #bigdata

Rama Vasudevan and 7 others

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Machine Learning: Science and Technology

@MLSTjournal

·

Feb 1

Great new work by Pongpisit Thanasutives et al

@osaka_jyouhoujp

@Sanken_ISIR_jp

@osaka_univ_e

- 'Noise-aware #physics-informed #machinelearning for robust #PDE discovery' - https://bit.ly/40mIIAo #AI #statphys #noise #complexsystems #neuralnetworks #nonlineardynamics #fluids

OpenSci Talk and Journal of Physics A

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Machine Learning: Science and Technology

@MLSTjournal

·

Feb 1

Great new work by

@ramav_matsci

@Sergei_Imaging

@MaximZiatdinov

@OLCFGOV

@ORNL_PhysSci

@UT_MSE

@UTK_TCE

- 'Optimizing training trajectories in variational #autoencoders via latent #Bayesian optimization approach' - https://bit.ly/3HwBwJI #machinelearning #materials #compchem #AI

Oak Ridge Lab and 5 others

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Machine Learning: Science and Technology Retweeted

Graham Van Goffrier

@notoriousgvg

·

Jan 31

Honored to see this paper in print -- it was the project that carried me through the start of the pandemic, and working with our project partners at

@UKAEAofficial

was a true highlight of my PhD.

Quote Tweet

Machine Learning: Science and Technology

@MLSTjournal

·

Jan 31

Great new work by @petrmanek @notoriousgvg @NikosNi41644559 @Jon_Shimwell @IngoWaldmann @UKAEAofficial @uclmaps @CVUTPraha - 'Fast regression of the tritium breeding ratio in #fusion #reactors' - https://bit.ly/3JvgrBQ #machinelearning #plasmas #nuclear #AI #simulation #HPC

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Machine Learning: Science and Technology Retweeted

Kyle Cranmer

@KyleCranmer

·

Jan 31

I'm looking forward to this panel discussion on Feb 10th (8AM eastern, 2PM Geneva).

Quote Tweet

Machine Learning: Science and Technology

@MLSTjournal

·

Jan 31

Join us on 10 Feb for a webinar. Hear from data science and physical science experts as they share experiences and explore solutions to common barriers in ensuring data meet FAIR and Open Science principles. Register here http://ow.ly/8JV350MEKsF @KyleCranmer @keeeto2000

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Machine Learning: Science and Technology

@MLSTjournal

·

Jan 31

Great new work by

@petrmanek

@notoriousgvg

@NikosNi41644559

@Jon_Shimwell

@IngoWaldmann

@UKAEAofficial

@uclmaps

@CVUTPraha

- 'Fast regression of the tritium breeding ratio in #fusion #reactors' - https://bit.ly/3JvgrBQ #machinelearning #plasmas #nuclear #AI #simulation #HPC

UCL and 8 others

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Machine Learning: Science and Technology

@MLSTjournal

·

Jan 31

Join us on 10 Feb for a webinar. Hear from data science and physical science experts as they share experiences and explore solutions to common barriers in ensuring data meet FAIR and Open Science principles. Register here ⬇️ http://ow.ly/8JV350MEKsF

@KyleCranmer

@keeeto2000

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Machine Learning: Science and Technology

@MLSTjournal

·

Jan 29

Another milestone for

@MLSTjournal

- we've just passed 7K followers!🥳Thanks again to all of our Board members and supporters!

@KyleCranmer

@A_Aspuru_Guzik

@ProfvLilienfeld

@gppcarleo

@corminboeuf_lab

@zdeborova

@ElenaCuoco

@FrankNoeBerlin

@keeeto2000

#compchem #machinelearning

Maurizio Pierini and 9 others

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Machine Learning: Science and Technology Retweeted

عبدالحكيم النقيدان

@Abdulhakim__

·

Jan 28

تم قبول ورقتنا العلمية في المجلة المحكّمة

@MLSTjournal

قدمنا فيها طريقة جديدة لتسريع الحسابات التحليلة في فيزياء الجسيمات باستخدام الذكاء الاصطناعي (تعلم الآلة) لسرعة تصل إلى ١٠٠ ضعف وأكثر، وهو خطوة أولى يتبعها الكثير بإذن الله https://iopscience.iop.org/article/10.1088/2632-2153/acb2b2…

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Machine Learning: Science and Technology Retweeted

Konstantin Rusch

@tk_rusch

·

Jan 27

Quick reminder that the deadline of our #ICLR2023 workshop on "physics for ML" is already in one week ⚡ If the topic of your recent #ICML2023 submission is suitable for the workshop, you can submit it in parallel to the ICML conference track. Site: https://physics4ml.github.io

Patrick Kidger and 3 others

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Machine Learning: Science and Technology

@MLSTjournal

·

Jan 28

'Real-time semantic segmentation on #FPGAs for #AutonomousVehicles with #hls4ml' by

@xmpierinix

@Thea_kaa

@marcelroed

Jennifer Ngadiuba et al

@CERN

@ETH

@zenseact

@Fermilab

@CMSExperiment

hits 500 downloads! https://bit.ly/3sYMReF #AI #machinelearning #HEP #particlephysics #HPC

Kyle Cranmer and 9 others

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Machine Learning: Science and Technology

@MLSTjournal

·

Jan 28

NOW >10K DOWNLOADS!🥳 'Normalizing #flows for atomic solids' by

@PeteWirnsberger

@gpapamak

@BlundellCharles

@sracaniere

B Ibarz, A J Ballard and A Pritzel

@DeepMind

- https://bit.ly/3PqmHeJ #machinelearning #statphys #compchem #materials #condmat #openscience #AI #HPC

Eric Nalisnick and 6 others

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Machine Learning: Science and Technology

@MLSTjournal

·

Jan 28

Great new work by A Alnuqaydan

@SergeiGleyzer

and H Prosper

@universityofky

@QassimUniv1

@ua_phay

@FSUPhysics

- 'SYMBA: symbolic computation of squared amplitudes in high energy #physics with #machinelearning' - https://bit.ly/3Jqou2K #AI #HEP #particlephysics #HPC #NLP #QCD

Maurizio Pierini and 7 others

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Machine Learning: Science and Technology Retweeted

Jan Jensen (@janhjensen@mastodon.social)

@janhjensen

·

Jan 27

Computational Chemistry Daily is out! https://paper.li/compchemdaily?edition_id=3cea2b10-9e38-11ed-967d-fa163e65ae25… Stories via

@SCM_Amsterdam

@MLSTjournal

@UniSysCat

paper.li

Definition and benchmarking of ab initio fragment methods for accurate excimer potential energy...

chemrxiv.org Definition and benchmarking of ab initio fragment methods for accurate excimer potential energy surfaces

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Machine Learning: Science and Technology Retweeted

Materials for Quantum Technology

@MQTjournal

·

Jan 25

Delighted to announce our first Roadmap for Materials for Quantum Technologies, led by Christoph Becher from

@Saar_Uni

, Weibo Gao from

@NUSingapore

and

@ProfessorSKar

is now available at https://iopscience.iop.org/article/10.1088/2633-4356/aca3f2… Thanks to all who contributed!

@QuantumJB

@gyger

@JasonandthePNG

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Machine Learning: Science and Technology Retweeted

Physics World

@PhysicsWorld

·

Jan 20

The Journal of Physics: Complexity is celebrating the complexity Nobel prize with perspectives on the field and an exclusive interview with laureate Giorgio Parisi

@IOPPublishing

physicsworld.com

Celebrating the complexity Nobel prize with perspectives on the future of the field – Physics World

Collection includes an exclusive interview with Nobel laureate Giorgio Parisi

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Machine Learning: Science and Technology Retweeted

Journal of Physics: Condensed Matter

@JPhysCM

·

Jan 26

‼️🖥️NEW Special Issue on Computer-Aided Two-Dimensional Materials Design for Energy Applications! Guest Editors: Yun Wang, Assil Bouzid and Vei Wang 🥳 SUBMIT HERE: https://iopscience.iop.org/journal/0953-8984/page/special-issue-on-computer-aided-two-dimensional-materials-design…

@IOPmaterials

@IOPPublishing

@gianpacc

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Machine Learning: Science and Technology

@MLSTjournal

·

Jan 26

NOW >28K DOWNLOADS AND >200 CITATIONS!🥳'Self-referencing embedded strings (#SELFIES)..'by

@A_Aspuru_Guzik

@MarioKrenn6240

@florian_hase

@P_Friederich

@akshat_ai

@chemuoft

@VectorInst

@CIFAR_News

@acceleration_c

- https://bit.ly/2IGopuo #compchem #materials #machinelearning #AI

Théophile Gaudin and 8 others

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Machine Learning: Science and Technology Retweeted

Yuta Suzuki

@resnant

·

Jan 26

昨年末にﾊﾟﾌﾞったこの論文の応用の話をします

Quote Tweet

Machine Learning: Science and Technology

@MLSTjournal

·

Dec 31, 2022

Great new work by @resnant @kotaro31dix @losnuevetoros et al @omron_sinicx @SokendaiU @kek_jp @Eng_Osaka_Univ - 'Self-supervised learning of #materials concepts from #crystal #structures via deep #neuralnetworks' - https://bit.ly/3Ibe2vl #machinelearning #AI #informatics #HPC

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Machine Learning: Science and Technology

@MLSTjournal

·

Jan 25

'AugLiChem: #data augmentation library of chemical structures for #machinelearning' by

@AmirBaratiF

@YuyangW95

@CooperLorsung

et al

@CMU_Mech

@CMUEngineering

@CMU_ChemE

hits 1000 downloads! https://bit.ly/3NQYNIZ #compchem #AI #neuralnetworks #materials #molecules #NLP #graphs

Carnegie Mellon University and 3 others

3

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Machine Learning: Science and Technology

@MLSTjournal

·

Jan 25

'Variational #MonteCarlo approach to partial differential equations with #neuralnetworks' by

@RehMoritz

@magaerttner

@GaerttnerGroup

@structures_hd

hits 500 downloads! https://bit.ly/3OSyVNp #machinelearning #PDEs #statphys #compchem #HPC #AI #fluids #dynamicalsystems #quantum

Julian Urban and 7 others

6

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Machine Learning: Science and Technology Retweeted

Neuromorphic Computing and Engineering

@IOPneuromorphic

·

Jan 24

We are delighted to present the Neuromorphic Computing and Engineering highlights of 2022. The linked articles were chosen based on reviewers' reports, and represent our best-regarded articles across a number of topics. Read them all at https://iopscience.iop.org/journal/2634-4386/page/2022_Highlights…

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Machine Learning: Science and Technology Retweeted

Jan Jensen (@janhjensen@mastodon.social)

@janhjensen

·

Jan 23

Computational Chemistry Daily is out! https://paper.li/compchemdaily?edition_id=93376b40-9b13-11ed-967d-fa163e65ae25… Stories via

@MLSTjournal

@sofiak1r

@riccardosp

paper.li

Accelerating Reaction Network Explorations with Automated Reaction Template Extraction and Applic...

chemrxiv.org Accelerating Reaction Network Explorations with Automated Reaction Template Extraction and Application

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Machine Learning: Science and Technology

@MLSTjournal

·

Jan 23

'Material transformers: #deeplearning language models for generative #materials design' by Jianjun Hu

@sadmanomee

et al

@UofSC_CEC

@UofSC

@ColomboUni

hits 500 downloads! https://bit.ly/3ieXOXx #machinelearning #NLP #AI #compchem #molecules #MaterialsGenome #transformer #HPC

Surge AI and 4 others

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