Results 1 to 10 of about 30,011,261 (320)
Chemical element transport in stellar evolution models [PDF]
Royal Society Open Science, 2017 Stellar evolution computations provide the foundation of several methods applied to study the evolutionary properties of stars and stellar populations, both Galactic and extragalactic.
Maurizio Salaris, Santi Cassisi
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ChemBERTa-2: Towards Chemical Foundation Models [PDF]
arXiv.org, 2022 Large pretrained models such as GPT-3 have had tremendous impact on modern natural language processing by leveraging self-supervised learning to learn salient representations that can be used to readily finetune on a wide variety of downstream tasks.
Walid Ahmad +4 more
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Evaluation of mental models of prospective science teachers on chemical reactions [PDF]
Journal of Pedagogical Research, 2021 The aim of this study is to examine prospective science teachers' (PSTs) mental models and meanings for the concept of chemical reaction. For this purpose, this study adopted a phenomenological research design including 48 PSTs.
Volkan Bilir, Sedat Karaçam
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Autonomous chemical research with large language models
Nature, 2023 Transformer-based large language models are making significant strides in various fields, such as natural language processing^ 1 – 5 , biology^ 6 , 7 , chemistry^ 8 – 10 and computer programming^ 11 , 12 .
Daniil A. Boiko +3 more
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Cultivation and Imaging of S. latissima Embryo Monolayered Cell Sheets Inside Microfluidic Devices
Bioengineering, 2022 The culturing and investigation of individual marine specimens in lab environments is crucial to further our understanding of this highly complex ecosystem.
Thomas Clerc +5 more
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Generative Models as an Emerging Paradigm in the Chemical Sciences
Journal of the American Chemical Society, 2023 Traditional computational approaches to design chemical species are limited by the need to compute properties for a vast number of candidates, e.g., by discriminative modeling.
Dylan M. Anstine, O. Isayev
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Augmenting large language models with chemistry tools [PDF]
Nature Machine Intelligence, 2023 Large language models (LLMs) have shown strong performance in tasks across domains but struggle with chemistry-related problems. These models also lack access to external knowledge sources, limiting their usefulness in scientific applications.
Andrés M Bran +5 more
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Molecules, 2022 Lipids are key factors in nutrition, structural function, metabolic features, and other biological functions. In this study, the lipids from the heads of four species of shrimp (Fenneropenaeus chinensis (FC), Penaeus japonicus (PJ), Penaeus vannamei (PV),
Yongqiang Zhu +10 more
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Neural scaling of deep chemical models
Nature Machine Intelligence, 2023 Massive scale, in terms of both data availability and computation, enables important breakthroughs in key application areas of deep learning such as natural language processing and computer vision.
Nathan C Frey +6 more
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ZSCAN4 interacts with PARP1 to promote DNA repair in mouse embryonic stem cells
Cell & Bioscience, 2023 Background In eukaryotic cells, DNA double strand breaks (DSB) are primarily repaired by canonical non-homologous end joining (c-NHEJ), homologous recombination (HR) and alternative NHEJ (alt-NHEJ).
Li-Kuang Tsai +8 more
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