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Quantitation of Nine Lactones in Dairy Cream by Stable Isotope Dilution Assays Based on Novel Syntheses of Carbon-13-Labeled γ‑Lactones and Deuterium-Labeled δ‑Lactones in Combination with Comprehensive Two-Dimensional Gas Chromatography with Time-of-Flight Mass Spectrometry

Journal of agricultural and food chemistry, 2017-12, Vol.65 (48), p.10534-10541

2017

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Late Quaternary transition from lacustrine to a fluvio-lacustrine environment in the north-western Nam Co, Tibetan Plateau, China

Quaternary international, 2010-05, Vol.218 (1), p.104-117

2010

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Postquench gap dynamics of two-band superconductors

Physical review. B, 2019-10, Vol.100 (14), Article 144513

2019

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Continuous ground-state degeneracy of classical dipoles on regular lattices

Physical review. B, 2019-07, Vol.100 (1), p.014426, Article 014426

2019

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Machine Learning Meets Quantum Physics

1st ed. 2020., 2020

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The atomic simulation environment-a Python library for working with atoms

Journal of physics. Condensed matter, 2017-07, Vol.29 (27), p.273002-273002

2017

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Enabling simulation at the fifth rung of DFT: Large scale RPA calculations with excellent time to solution

Computer physics communications, 2015-02, Vol.187 (C), p.120-129

2015

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Towards a general prediction-model for the current-induced mobilisation of objects on the sea floor

Ocean engineering, 2018-09, Vol.164, p.160-167

2018

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Cationic cobaltammines as anion receptors: Sonochemical synthesis, characterization and comparative account of antibacterial activity of nano and non-nano pentaammineazidocoablt(III) compounds

Polyhedron, 2021-09, Vol.206, p.115338, Article 115338

2021

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Controlling competing orders via nonequilibrium acoustic phonons: Emergence of anisotropic effective electronic temperature

Physical review. B, 2018-01, Vol.97 (3), Article 035135

2018

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Learning Representations of Molecules and Materials with Atomistic Neural Networks

Machine Learning Meets Quantum Physics, p.215-230

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Late Holocene geomorphodynamics in the vicinity of Göbekli Tepe, SE Turkey

Catena (Giessen), 2020-12, Vol.195, p.104759, Article 104759

2020

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Spin State Switching in Solution with an Azoimidazole-Functionalized Nickel(II)-Porphyrin

European journal of organic chemistry, 2016-08, Vol.2016 (22), p.3817-3823

2016

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Sediment cascades and the entangled relationship between human impact and natural dynamics at the pre‐pottery Neolithic site of Göbekli Tepe, Anatolia

Earth surface processes and landforms, 2021-02, Vol.46 (2), p.430-442

2021

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Tuning doping and surface functionalization of columnar oxide films for volatile organic compound sensing: experiments and theory

Journal of materials chemistry. A, Materials for energy and sustainability, 2018, Vol.6 (46), p.23669-23682

2018

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dimension of water in Central Asia: security concerns and the long road of capacity building

Environmental earth sciences, 2015-01, Vol.73 (2), p.897-912

2015

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Towards oncological application of Raman spectroscopy

Journal of biophotonics, 2009-02, Vol.2 (1-2), p.29-36

2009

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Holocene environmental changes in the Ugii Nuur basin, Mongolia

Palaeogeography, palaeoclimatology, palaeoecology, 2009-08, Vol.279 (3), p.160-171

2009

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Heavy Rainfalls in a Desert(Ed) City: A Climate‐Archaeological Case Study From Sudan

Climates, Landscapes, and Civilizations, 2012, p.163-168

2012

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Algebraic Surfaces

Mordell-Weil Lattices, 2019, Vol.70, p.57-77

2019

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Generative Models for Automatic Chemical Design

Machine Learning Meets Quantum Physics, p.445-467

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Construction of Machine Learned Force Fields with Quantum Chemical Accuracy: Applications and Chemical Insights

Machine Learning Meets Quantum Physics, p.277-307

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Message Passing Neural Networks

Machine Learning Meets Quantum Physics, p.199-214

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Database-Driven High-Throughput Calculations and Machine Learning Models for Materials Design

Machine Learning Meets Quantum Physics, p.377-395

Armiento, Rickard

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Building Nonparametric n-Body Force Fields Using Gaussian Process Regression

Machine Learning Meets Quantum Physics, p.67-98

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Quantitation of Nine Lactones in Dairy Cream by Stable Isotope Dilution Assays Based on Novel Syntheses of Carbon-13-Labeled γ‑Lactones and Deuterium-Labeled δ‑Lactones in Combination with Comprehensive Two-Dimensional Gas Chromatography with Time-of-Flight Mass Spectrometry

Late Quaternary transition from lacustrine to a fluvio-lacustrine environment in the north-western Nam Co, Tibetan Plateau, China

Postquench gap dynamics of two-band superconductors

Continuous ground-state degeneracy of classical dipoles on regular lattices

Machine Learning Meets Quantum Physics

The atomic simulation environment-a Python library for working with atoms

Enabling simulation at the fifth rung of DFT: Large scale RPA calculations with excellent time to solution

Towards a general prediction-model for the current-induced mobilisation of objects on the sea floor

Cationic cobaltammines as anion receptors: Sonochemical synthesis, characterization and comparative account of antibacterial activity of nano and non-nano pentaammineazidocoablt(III) compounds

Controlling competing orders via nonequilibrium acoustic phonons: Emergence of anisotropic effective electronic temperature

Learning Representations of Molecules and Materials with Atomistic Neural Networks

Late Holocene geomorphodynamics in the vicinity of Göbekli Tepe, SE Turkey

Spin State Switching in Solution with an Azoimidazole-Functionalized Nickel(II)-Porphyrin

Sediment cascades and the entangled relationship between human impact and natural dynamics at the pre‐pottery Neolithic site of Göbekli Tepe, Anatolia

Tuning doping and surface functionalization of columnar oxide films for volatile organic compound sensing: experiments and theory

dimension of water in Central Asia: security concerns and the long road of capacity building

Towards oncological application of Raman spectroscopy

Holocene environmental changes in the Ugii Nuur basin, Mongolia

Heavy Rainfalls in a Desert(Ed) City: A Climate‐Archaeological Case Study From Sudan

Algebraic Surfaces

Generative Models for Automatic Chemical Design

Construction of Machine Learned Force Fields with Quantum Chemical Accuracy: Applications and Chemical Insights

Message Passing Neural Networks

Database-Driven High-Throughput Calculations and Machine Learning Models for Materials Design

Building Nonparametric n-Body Force Fields Using Gaussian Process Regression

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