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Coarse graining molecular dynamics with graph neural networks

The Journal of chemical physics, 2020-11, Vol.153 (19), p.194101-194101

2020

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Modelling and Analysis of the Positioning Accuracy in the Loading Systems of Mobile Cranes

Materials, 2022-11, Vol.15 (23), p.8426

2022

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Nucleotide-decorated AuNPs as probes for nucleotide-binding proteins

Scientific reports, 2021-08, Vol.11 (1), p.15741-13, Article 15741

2021

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Worm Gear Drives with Improved Kinematic Accuracy

Materials, 2021-12, Vol.14 (24), p.7825

2021

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An investigation of structural stability in protein-ligand complexes reveals the balance between order and disorder

Communications chemistry, 2019-09, Vol.2 (1), Article 110

2019

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Machine learning coarse-grained potentials of protein thermodynamics

Nature communications, 2023-09, Vol.14 (1), p.5739-5739, Article 5739

2023

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Innovations Induced by Research in Technical Systems

1st Edition 2020, 2020

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Age dependent treatment response to the Carriere ® Motion 3D ™ appliance for the correction of Class II malocclusion

Journal of education, health and sport, 2022-10, Vol.12 (10), p.169-177

2022

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Machine learning small molecule properties in drug discovery

Artificial intelligence chemistry, 2023-12, Vol.1 (2), p.100020, Article 100020

2023

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Simulation and Optimization Studies of the LHCb Beetle Readout ASIC and Machine Learning Approach for Pulse Shape Reconstruction

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6075

2021

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Alternative Approach to Current EU BAT Recommendation for Coal-Fired Power Plant Flue Gas Desulfurization Wastewater Treatment

Processes, 2018-11, Vol.6 (11), p.229

2018

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Structural Stability Predicts the Binding Mode of Protein–Ligand Complexes

Journal of chemical information and modeling, 2020-03, Vol.60 (3), p.1644-1651

2020

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Analysis, and machine learning anomaly detection of the VELO-LHCb calibration

Journal of physics. Conference series, 2019-10, Vol.1337 (1), p.12006, Article 012006

Majewski, Maciej

2019

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Niemieckie zbrodnie nazistowskie w Lesie Lućmierskim w świetle badań etnoarcheologicznych

Acta Universitatis Lodziensis. Folia archaeologica, 2018-07 (32), p.157-189

2018

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Top-Down Machine Learning of Coarse-Grained Protein Force Fields

Journal of chemical theory and computation, 2023-11, Vol.19 (21), p.7518-7526

2023

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Application of aluminum-based coagulants for improving efficiency of flue gas desulfurization wastewater treatment in coal – fired power plant

E3S Web of Conferences, 2019, Vol.108, p.2006

2019

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Electronic cigarettes and their effects on human health

Journal of education, health and sport, 2020-04, Vol.10 (4), p.82-89

2020

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What do we know about sugar substitutes?

Journal of education, health and sport, 2020-04, Vol.10 (4), p.90-98

2020

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Between Technical-cultural Innovation by the Teutonic Order and Traditional Blacksmith Craftsmanship On the Margin of the Discovery of the 13th-century Spur with Hinged Sides from Starogród, Chełmno Distric

Fasciculi Archaeologiae Historicae, 2020, Vol.33, p.175-181

Majewski, Maciej

2020

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TorchMD: A Deep Learning Framework for Molecular Simulations

Journal of chemical theory and computation, 2021-04, Vol.17 (4), p.2355-2363

2021

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Development of the LHCb VELO Monitoring Software Platform

Acta physica Polonica, B, 2017-06, Vol.48 (6), p.1061

Majewski, M.

2017

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Innovations Induced by Research in Technical Systems

2020

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Structure based virtual screening: Fast and slow

Wiley interdisciplinary reviews. Computational molecular science, 2022-03, Vol.12 (2), p.e1544-n/a

2022

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Cap analogs modified with 1,2-dithiodiphosphate moiety protect mRNA from decapping and enhance its translational potential

Nucleic acids research, 2016-11, Vol.44 (20), p.9578

2016

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SkeleDock: A Web Application for Scaffold Docking in PlayMolecule

Journal of chemical information and modeling, 2020-06, Vol.60 (6), p.2673-2677

2020

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Coarse graining molecular dynamics with graph neural networks

Modelling and Analysis of the Positioning Accuracy in the Loading Systems of Mobile Cranes

Nucleotide-decorated AuNPs as probes for nucleotide-binding proteins

Worm Gear Drives with Improved Kinematic Accuracy

An investigation of structural stability in protein-ligand complexes reveals the balance between order and disorder

Machine learning coarse-grained potentials of protein thermodynamics

Innovations Induced by Research in Technical Systems

Age dependent treatment response to the Carriere ® Motion 3D ™ appliance for the correction of Class II malocclusion

Machine learning small molecule properties in drug discovery

Simulation and Optimization Studies of the LHCb Beetle Readout ASIC and Machine Learning Approach for Pulse Shape Reconstruction

Alternative Approach to Current EU BAT Recommendation for Coal-Fired Power Plant Flue Gas Desulfurization Wastewater Treatment

Structural Stability Predicts the Binding Mode of Protein–Ligand Complexes

Analysis, and machine learning anomaly detection of the VELO-LHCb calibration

Niemieckie zbrodnie nazistowskie w Lesie Lućmierskim w świetle badań etnoarcheologicznych

Top-Down Machine Learning of Coarse-Grained Protein Force Fields

Application of aluminum-based coagulants for improving efficiency of flue gas desulfurization wastewater treatment in coal – fired power plant

Electronic cigarettes and their effects on human health

What do we know about sugar substitutes?

Between Technical-cultural Innovation by the Teutonic Order and Traditional Blacksmith Craftsmanship On the Margin of the Discovery of the 13th-century Spur with Hinged Sides from Starogród, Chełmno Distric

TorchMD: A Deep Learning Framework for Molecular Simulations

Development of the LHCb VELO Monitoring Software Platform

Innovations Induced by Research in Technical Systems

Structure based virtual screening: Fast and slow

Cap analogs modified with 1,2-dithiodiphosphate moiety protect mRNA from decapping and enhance its translational potential

SkeleDock: A Web Application for Scaffold Docking in PlayMolecule

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