Results 121 to 130 of about 14,571 (201)

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang   +3 more
wiley   +1 more source

Selective control of ligand binding through a distal mutation that alters the protein native ensemble. [PDF]

open access: yesProc Natl Acad Sci U S A
Dani R   +6 more
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

Toward a thermodynamic stability order of the phosphorus allotropes. [PDF]

open access: yesRSC Adv
Bonometti L   +5 more
europepmc   +1 more source

Hydrogen Activation via Dihydride Formation on a Rh1/Fe3O4(001) Single‐Atom Catalyst

open access: yesAngewandte Chemie International Edition, EarlyView.
Deuterium (hydrogen) adsorption on single‐atom Rh1/Fe3O4(001) catalyst does not induce D (H) spillover onto the reducible Fe3O4 support. Instead, a Rh1‐dihydride (Rh−2D or Rh−2H) species forms and D2 or H2desorbs during annealing. ABSTRACT Hydrogen activation is a key elementary step in catalytic hydrogenation.
Chunlei Wang   +12 more
wiley   +1 more source

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