Enhancing chemical synthesis: a two-stage deep neural network for predicting feasible reaction conditions
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Enhancing chemical synthesis: a two-stage deep neural network for predicting feasible reaction conditions ; volume:16 ; number:1 ; day:24 ; month:1 ; year:2024 ; pages:1-14 ; date:12.2024
Journal of cheminformatics ; 16, Heft 1 (24.1.2024), 1-14, 12.2024
- Urheber
-
Chen, Lung-Yi
Li, Yi-Pei
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13321-024-00805-4
- URN
-
urn:nbn:de:101:1-2405061050332.845733588857
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Chen, Lung-Yi
- Li, Yi-Pei
- SpringerLink (Online service)
Ähnliche Objekte (12)
Enhancing catalytic efficiency in asymmetric Henry reaction
A two-stage framework for predicting the remaining useful life of bearings
Predicting Feasible Modifications of Ce2ON2 Using a Combination of Global Optimization and Data Mining
Two-stage mixotrophic cultivation for enhancing the biomass and lipid productivity of Chlorella vulgaris
Enhancing reaction-based de novo design using a multi-label reaction class recommender
Analogy Makes Proofs Feasible
Legally Feasible, Constitutionally Dubious
Enhancing Molecular Dynamics Simulations: From Trajectories to Reaction Rates
Enhancing the performance and stability of organometal halide perovskite by using a feasible and economical interface material
Theory of semi-feasible algorithms
Feasible real random access machines
Feasible Real Random Access Machines
Enhancing catalytic efficiency in asymmetric Henry reaction
A two-stage framework for predicting the remaining useful life of bearings
Predicting Feasible Modifications of Ce2ON2 Using a Combination of Global Optimization and Data Mining
Two-stage mixotrophic cultivation for enhancing the biomass and lipid productivity of Chlorella vulgaris
Enhancing reaction-based de novo design using a multi-label reaction class recommender
Analogy Makes Proofs Feasible
Legally Feasible, Constitutionally Dubious
Enhancing Molecular Dynamics Simulations: From Trajectories to Reaction Rates
Enhancing the performance and stability of organometal halide perovskite by using a feasible and economical interface material
Theory of semi-feasible algorithms
Feasible real random access machines
Feasible Real Random Access Machines
Enhancing catalytic efficiency in asymmetric Henry reaction
A two-stage framework for predicting the remaining useful life of bearings
Predicting Feasible Modifications of Ce2ON2 Using a Combination of Global Optimization and Data Mining
Two-stage mixotrophic cultivation for enhancing the biomass and lipid productivity of Chlorella vulgaris
Enhancing reaction-based de novo design using a multi-label reaction class recommender
Analogy Makes Proofs Feasible
Legally Feasible, Constitutionally Dubious
Enhancing Molecular Dynamics Simulations: From Trajectories to Reaction Rates
Enhancing the performance and stability of organometal halide perovskite by using a feasible and economical interface material
Theory of semi-feasible algorithms
Feasible real random access machines