Results 231 to 240 of about 357,046 (309)

Exploring Quantum Computing for Metal Cluster Analysis. [PDF]

open access: yesJ Phys Chem A
Pollard N, Hines AC, Clayborne AZ.
europepmc   +1 more source

Detecting Cr6+ at ≈100 pM Concentration with Fluorescence Enhancement Signatures in a Novel Eco‐Fluorophore: Matching WHO's 96 pM Recommended Standard for Drinking Water

open access: yesAdvanced Materials, EarlyView.
Through a dual‐functionalization strategy, carbon quantum dots (CQD) with exceptional fluorescence properties are engineered. These CQD are integrated with graphitic carbon nitride to form a 2D/2D heterostructure via both covalent and non‐covalent modification.
Pegah Zandi   +2 more
wiley   +1 more source

Spin Engineering of Dual‐Atom Site Catalysts for Efficient Electrochemical Energy Conversion

open access: yesAdvanced Materials, EarlyView.
This review highlights recent progress in spin engineering of dual‐atom site catalysts (DASCs), emphasizing how spin‐related properties enhance electrocatalytic activity, selectivity, and stability. It summarizes cutting‐edge developments in dual‐atom catalysis, discusses the underlying spin‐catalysis mechanisms and structure–performance relationships,
Dongping Xue   +5 more
wiley   +1 more source

Observation of Floquet states in graphene. [PDF]

open access: yesNat Phys
Merboldt M   +13 more
europepmc   +1 more source

High Performance P‐Channel Transistor Based on Amorphous Tellurium Trioxide

open access: yesAdvanced Materials, EarlyView.
This study introduces a breakthrough in p‐channel transistors by transforming crystalline 2D tellurium into amorphous tellurium trioxide (a‐TeO3) via UV‐O3 treatment. This transformation enhances electronic properties, resulting in transistors with reduced hysteresis, superior on/off characteristics, and low barrier height, highlighting the potential ...
Seungho Bang   +10 more
wiley   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

open access: yesAdvanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu   +9 more
wiley   +1 more source

Self‐Trapped Excitons Activate Pseudo‐Inert Basal Planes of 2D Organic Semiconductors for Improved Photocatalysis

open access: yesAdvanced Materials, EarlyView.
2D organic semiconductors are widely believed to have uniformly active surfaces. This study reveals that their basal planes can be pseudo‐inert due to anisotropic exciton migration. By inducing exciton self‐trapping through dimensional reduction, these inert planes are activated, boosting hydrogen peroxide production by over 350%. The work uncovers key
Jindi Yang   +15 more
wiley   +1 more source

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