Katalog der Deutschen Nationalbibliothek

Gesamter Bestand

Musikarchiv

Exilsammlungen

Buchmuseum

Suchformular zurücksetzen

Expertensuche ?

Leichte Bedienung, intuitive Suche: Die Betaversion unseres neuen Katalogs ist online! → Zur Betaversion des neuen DNB-Katalogs

Wegen Wartungsarbeiten am Mittwoch, 10. Februar 2026 kann es zwischen 07:30 und 08:30 Uhr zu Unterbrechungen unserer Dienste kommen. // Due to maintenance work on Wednesday, 04 February 2026, there may be interruptions to our services between 07:30 and 08:30.

Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

281 - 290 von 42849

	281	Visible‐Light‐Induced Enhanced Photodegradation of Organic Dyes Using Zn‐Embedded Silica: Experimental and Machine‐Learning Optimization of Wastewater Treatment Enthalten in ChemNanoMat Bd. 12, 2026, Nr. 1. 23 S.
	282	Machine Learning‐Driven Innovations in Energy and Environmental Catalysis: A Minireview Enthalten in ChemistrySelect Bd. 11, 2026, Nr. 5. 13 S.
	283	Atomistic Simulations of Thermal and Chemical Expansions of PrNi x Co 1‐x O 3‐δ Accelerated by Machine Learning Potentials (Small Methods 2/2026) Enthalten in Small Methods Bd. 10, 2026, Nr. 2. 1 S.
	284	Application and Machine Learning‐Assisted Recognition of MOF‐Based Fluorescent Sensors in the Detection of Food Contaminants Enthalten in Advanced sustainable systems Bd. 10, 2026, Nr. 1. 20 S.
	285	Author Name Disambiguation in Scholarly Research: A Bibliometric Perspective Enthalten in Open information science Bd. 10, 2026, Nr. 1. 20 S.
	286	Recent Progress on the Ultralow‐Overpotential Electrocatalysts for Hydrogen Evolution Reaction Enthalten in Advanced sustainable systems Bd. 10, 2026, Nr. 1. 34 S.
	287	Scientific Production and Real-World Applications of Data Science in Ecuador: A Bibliometric Perspective (1985–2023) Enthalten in Open information science Bd. 10, 2026, Nr. 1. 20 S.
	288	TAPAS: Transient Absorption Processing and Analysis Software Enthalten in ChemPhotoChem Bd. 10, 2026, Nr. 1. 12 S.
	289	Front Cover: High‐Throughput Calculation and Machine Learning‐Assisted Prediction of the Mechanical Properties of Refractory Multi‐Principal Element Alloys (Adv. Theory Simul. 1/2026) Enthalten in Advanced theory and simulations Bd. 9, 2026, Nr. 1. 0 S.
	290	Computational Studies of Prebiotic Chemistry at the Age of Machine Learning: From Recent Breakthroughs to Future Revolutions Enthalten in ChemSystemsChem Bd. 8, 2026, Nr. 1. 8 S.