Results 111 to 120 of about 1,576,790 (304)

Artificial Intelligence Predictions in Huge Chemical Spaces: Chiroptical Properties of [6]‐helicene Family

open access: yesAdvanced Science, EarlyView.
This study shows that a local, data‐driven AI model can accurately predict diverse optical and chiroptical properties of [6]helicenes using information from close structural neighbours. Combined with genetic algorithms, it enables inverse design for tailored properties, establishing practical structure–property rules for efficient molecular discovery ...
Rafael G. Uceda   +8 more
wiley   +1 more source

Neuromodulator Dynamics Underlying Associative Learning in the Ventral Striatum's Olfactory Tubercle

open access: yesAdvanced Science, EarlyView.
Using fiber photometry and genetically encoded sensors, the dynamic release patterns of four neuromodulators in the olfactory tubercle (OT)—a brain region overlapping with the olfactory cortex and ventral striatum—were systematically monitored in response to external rewards and distinct reward‐associated learning processes.
Maojun Hong   +7 more
wiley   +1 more source

A Compendium of Logic Gates Based on Reconfigurable Three‐Independent‐Gate Transistors Realized in FDSOI Hardware

open access: yesAdvanced Electronic Materials, EarlyView.
This work electrically characterizes sixteen logic gates built from three‐independent‐gate reconfigurable transistors fabricated on full‐scale 300 mm wafers using the industrial 22 nm fully depleted FDSOI process of GlobalFoundries. Static and time‐resolved measurements confirm correct operation, including a 1‐bit adder and reconfigurable AOI/OAI ...
Juan P. Martinez   +12 more
wiley   +1 more source

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

open access: yesAdvanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil   +4 more
wiley   +1 more source

Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives

open access: yesAgribusiness, EarlyView.
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza   +2 more
wiley   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen   +5 more
wiley   +1 more source

Ionic Coordination and Hierarchical Architecture Enable Record n‐Type Thermoelectric Efficiency in Soft Hydrogels

open access: yesAngewandte Chemie, EarlyView.
A Zn2+‐coordinated BMIM–ZnBr ionogel forms a rigid cationic scaffold and a directed anion‐migration channel, enabling pronounced thermodiffusion and an exceptional ionic Seebeck coefficient of −128 mV K−1, a high power factor of 16.7 µW cm−1 K−2, and a promising ZT of 1.1 at room temperature for harvesting low‐grade heat.
Chenyang Zhang   +9 more
wiley   +2 more sources

Home - About - Disclaimer - Privacy