David Kovacs

1 month ago | pubs.acs.org | David Kovacs |J. Moore |Nicholas J. Browning |Ilyes Batatia

1. IntroductionClick to copy section linkSection link copied!Machine learning (ML) force fields have recently undergone major improvements in accuracy, robustness, and computational speed. (1−13) They are now routinely used in materials chemistry contexts, where density functional theory was previously the method of choice.

1 month ago | dx.doi.org | David Kovacs |J. Moore |Nicholas J. Browning |Ilyes Batatia

1. IntroductionClick to copy section linkSection link copied!Machine learning (ML) force fields have recently undergone major improvements in accuracy, robustness, and computational speed. (1−13) They are now routinely used in materials chemistry contexts, where density functional theory was previously the method of choice.

Feb 3, 2025 | jnm.snmjournals.org | David Kovacs |Claes Nøhr Ladefoged |Jacob Bak Rosenkjær |Fatima Mawassi

The advent of artificial intelligence (AI) in medical imaging and nuclear medicine could revolutionize our approach to diagnosing and treating complex conditions. Our recent paper, “Clinical Evaluation of Deep Learning for Tumor Delineation on 18F-FDG PET/CT of Head and Neck Cancer,” (1) showcases the potential of in-house AI in clinical practice. Clinically, we often find ourselves in need of a legitimate path to apply in-house developments.

Sep 25, 2024 | concertmonkey.be | David Kovacs

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Jun 28, 2024 | pubs.aip.org | Aerospace Engineering |Jinzhe Zeng |Philipp Pracht |David Kovacs

Multicomponent macromolecular mixtures often form higher-order structures, which may display non-ideal mixing and aging behaviors. In this work, we first propose a minimal model of a quaternary system that takes into account the formation of a complex via a chemical reaction involving two macromolecular species; the complex may then phase separate from the buffer and undergo a further transition into a gel-like state.