Results 181 to 190 of about 691,780 (309)

Switchable Supramolecular Adhesive by Tuning Interfacial Bonding and Modulus

open access: yesAdvanced Functional Materials, EarlyView.
The supramolecular adhesive (HyDiP) shows reversible adhesion and recyclability. In the dehydrated state, it is dense, stiff (E ≈445 MPa), transparent, and provides strong bonding with adhesion strengths up to 4.65 MPa. In the hydrated state, it becomes porous, soft (E ≈0.11 MPa), and detaches easily, enabling sustainable high‐strength applications ...
Rumin Fu   +10 more
wiley   +1 more source

Learned Helplessness and Associated Factors Among Patients with Lung Cancer. [PDF]

open access: yesPatient Prefer Adherence
Huang F   +4 more
europepmc   +1 more source

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou   +7 more
wiley   +1 more source

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

open access: yesAdvanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won   +3 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

open access: yesAdvanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Magnetism and Nonlinear Charge Transport in NiFe2O4/γ‐Al2O3/SrTiO3 Heterostructure: Toward Spintronic Applications

open access: yesAdvanced Functional Materials, EarlyView.
In this report, we demonstrate that a crystalline phase of 52nm thick NiFe2O4 can be grown by RF sputtering on top of γ‐Al2O3(8nm)/SrTiO3 at a significantly low temperature (150 °C) without compromising the mobility and carrier density of the 2D electron gas at the γ‐Al2O3(8nm)/SrTiO3 interface.
Amit Chanda   +11 more
wiley   +1 more source

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