Faculty

Institution

Unit

Venue

Omar Valsson

Assistant Professor

University of North Texas

Affiliations

College of Science

Department of Chemistry

Omar Valsson is currently serving as a College Of Science Assistant Professor at University of North Texas.

Honors

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Experiences

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Education

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Omar Valsson

University of North Texas

Assistant Professor

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materials science physical chemistry chemistry applied physics computational chemistry theoretical chemistry sampling biophysics protein science condensed matter physics quantum chemistry mathematical chemistry machine learning polymer science chemical sciences material chemistry variational analysis atomistic simulations photochemistry nuclear science manifold learning nanometrology nuclear engineering molecular dynamics simulations collective variables enthalpy fluctuations first principles numerical simulations theoretical biology scientific data mathematical optimization human-computer interaction aerosol science membrane science redox biology nanoparticle research nuclear medicine molecular science molecular docking computational reproducibility reproducible research theoretical inorganic chemistry data sharing metadata management meta data excitation energy transfer digital learning online learning online learning communities interactive learning collaborative learning surface chemistry faraday discussion chemical thermodynamics rna biology signal recognition nanobiotechnology nanoscale chemistry macromolecular science rare event estimation experimental analysis nuclear safety fragmentation effect visual processing enhanced molecular simulations conceptual viewpoint important fluctuations rare events free energy calculations wave function methods electronic excitations multiconfigurational perturbation theory model retinal chromophores quantum monte carlo bypassing common pitfalls molecular modelling molecular structure advanced methods x-ray diffraction molecular design

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Plumed Tutorials: A Collaborative, Community-Driven Learning Ecosystem. The Journal of Chemical Physics (2025)

Gareth A. TribelloMassimiliano BonomiGiovanni BussiCarlo CamilloniBlake I. ArmstrongAndrea ArsiccioSimone AureliFederico BallabioMattia BernettiLuigi BonatiSamuel G. H. BrookesZ. Faidon BrotzakisRiccardo CapelliMichele CeriottiKam-Tung ChanPilar CossioSiva DasettyDavide DonadioBernd EnsingAndrew L. FergusonGuillaume FrauxJulian D. GaleFrancesco Luigi GervasioToni GiorginoNicholas S. M. HerringerGlen M. HockySamuel E. HoffMichele InvernizziOlivier Languin-CattoënVanessa LeoneVittorio LimongelliOlga Lopez-AcevedoFabrizio MarinelliPedro Febrer MartinezMatteo MasettiShams MehdiAngelos MichaelidesMhd Hussein MurtadaMichele ParrinelloPablo M. PiaggiAdriana PietropaoloFabio PietrucciSilvio PipoloClaire PritchardPaolo RaiteriStefano RanioloDaniele RapettiValerio RizziJakub RydzewskiMatteo SalvalaglioChristoph SchranAniruddha SealArmin Shayesteh ZadehTomás F. D. SilvaVojtěch SpiwokGuillaume StirnemannDaniel SucerquiaPratyush TiwaryOmar ValssonMichele VendruscoloGregory A. VothAndrew D. WhiteJiangbo Wu

digital learninghuman-computer interactiononline learningcommunity-driven learning ecosystemlearning scienceseducationonline learning communitiesinteractive learningcollaborative learning

Manifold Learning in Atomistic Simulations: A Conceptual Review. Machine Learning Science and Technology (2023)

Jakub RydzewskiMing ChenOmar Valsson

materials sciencemanifold learningatomistic simulationscondensed matter physicsconceptual reviewcognitive sciencemachine learning

Molecular Simulation Strategies for Understanding the Degradation Mechanisms of Acrylic Polymers. Macromolecules (2023)

Aysenur IscenNancy C. Forero-MartinezOmar ValssonKurt Kremer

materials sciencemolecular simulation strategiesdegradation mechanismsacrylic polymerspolymer sciencemacromolecular science

Sampling Rare Event Energy Landscapes via Birth-Death Augmented Dynamics. Physical review. E (2023)

Benjamin PampelSimon HolbachLisa HartungOmar Valsson

physicsapplied physicsrare event estimationsampling

Shared Metadata for Data-Centric Materials Science. Scientific Data (2023)

Luca M. GhiringhelliCarsten BaldaufTristan BereauSandor BrockhauserChristian CarbognoJavad ChamanaraStefano CozziniStefano CurtaroloClaudia DraxlShyam DwaraknathÁdám FeketeJames KermodeChristoph T. KochMarkus KühbachAlvin Noe LadinesPatrick LambrixMaja-Olivia HimmerSergey V. LevchenkoMicael OliveiraAdam MichalchukRonald E. MillerBerk OnatPasquale PavoneGiovanni PizziBenjamin ReglerGian-Marco RignaneseJörg SchaarschmidtMarkus ScheidgenAstrid SchneidewindTatyana ShevelevaChuanxun SuDenis UsvyatOmar ValssonChristof WöllMatthias Scheffler

materials scienceinformaticsdata sharingmetadata managementscientific datameta datadata-centric materials sciencedata science

Enhanced Sampling Methods for Molecular Dynamics Simulations. HAL (Le Centre pour la Communication Scientifique Directe) (2022)

Jérôme HéninTony LelièvreMichael ShirtsOmar ValssonLucie Delemotte

samplingmolecular dynamics simulationscommunication

Enhanced Sampling Methods for Molecular Dynamics Simulations [Article V1.0]. Living Journal of Computational Molecular Science (2022)

Jérôme HéninTony LelièvreMichael R ShirtsOmar ValssonLucie Delemotte

molecular dynamics simulationsstatisticssampling

Improving the Efficiency of Variationally Enhanced Sampling With Wavelet-Based Bias Potentials. Journal of Chemical Theory and Computation (2022)

Benjamin PampelOmar Valsson

computational chemistrysamplingstatisticschemistrywavelet-based bias potentialsprotein sciencemathematical chemistry

Reweighted Manifold Learning of Collective Variables From Enhanced Sampling Simulations. Journal of Chemical Theory and Computation (2022)

Jakub RydzewskiMing ChenTushar K. GhoshOmar Valsson

manifold learningcomputational chemistrymathematical chemistrystatisticschemistrymachine learningtheoretical chemistrycollective variables

Sampling Rare-Event Energy Landscapes via a Birth-Death Process. Zenodo (CERN European Organization for Nuclear Research) (2022)

, PampelHolbachHartung, Valsson

birth-death processradiation oncologysamplingrare-event energy landscapes

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Omar Valsson

Assistant Professor

University of North Texas

Affiliations

College of Science

Department of Chemistry

Omar Valsson is currently serving as a College Of Science Assistant Professor at University of North Texas.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Omar Valsson

University of North Texas

Assistant Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Plumed Tutorials: A Collaborative, Community-Driven Learning Ecosystem. The Journal of Chemical Physics (2025)

digital learninghuman-computer interactiononline learningcommunity-driven learning ecosystemlearning scienceseducationonline learning communitiesinteractive learningcollaborative learning

Manifold Learning in Atomistic Simulations: A Conceptual Review. Machine Learning Science and Technology (2023)

Jakub RydzewskiMing ChenOmar Valsson

materials sciencemanifold learningatomistic simulationscondensed matter physicsconceptual reviewcognitive sciencemachine learning

Molecular Simulation Strategies for Understanding the Degradation Mechanisms of Acrylic Polymers. Macromolecules (2023)

Aysenur IscenNancy C. Forero-MartinezOmar ValssonKurt Kremer

materials sciencemolecular simulation strategiesdegradation mechanismsacrylic polymerspolymer sciencemacromolecular science

Sampling Rare Event Energy Landscapes via Birth-Death Augmented Dynamics. Physical review. E (2023)

Benjamin PampelSimon HolbachLisa HartungOmar Valsson

physicsapplied physicsrare event estimationsampling

Shared Metadata for Data-Centric Materials Science. Scientific Data (2023)

materials scienceinformaticsdata sharingmetadata managementscientific datameta datadata-centric materials sciencedata science

Enhanced Sampling Methods for Molecular Dynamics Simulations. HAL (Le Centre pour la Communication Scientifique Directe) (2022)

Jérôme HéninTony LelièvreMichael ShirtsOmar ValssonLucie Delemotte

samplingmolecular dynamics simulationscommunication

Enhanced Sampling Methods for Molecular Dynamics Simulations [Article V1.0]. Living Journal of Computational Molecular Science (2022)

Jérôme HéninTony LelièvreMichael R ShirtsOmar ValssonLucie Delemotte

molecular dynamics simulationsstatisticssampling

Improving the Efficiency of Variationally Enhanced Sampling With Wavelet-Based Bias Potentials. Journal of Chemical Theory and Computation (2022)

Benjamin PampelOmar Valsson

computational chemistrysamplingstatisticschemistrywavelet-based bias potentialsprotein sciencemathematical chemistry

Reweighted Manifold Learning of Collective Variables From Enhanced Sampling Simulations. Journal of Chemical Theory and Computation (2022)

Jakub RydzewskiMing ChenTushar K. GhoshOmar Valsson

manifold learningcomputational chemistrymathematical chemistrystatisticschemistrymachine learningtheoretical chemistrycollective variables

Sampling Rare-Event Energy Landscapes via a Birth-Death Process. Zenodo (CERN European Organization for Nuclear Research) (2022)

, PampelHolbachHartung, Valsson

birth-death processradiation oncologysamplingrare-event energy landscapes

1
2
3
4
5
10 / page

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