Results 151 to 160 of about 75,314 (264)

Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants

open access: yesAdvanced Science, EarlyView.
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr   +6 more
wiley   +1 more source

Volatile ZrO2 Antiferroelectric Tunnel Junctions for Rapid, Energy‐Efficient Physical Reservoir Computing

open access: yesAdvanced Science, EarlyView.
An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon   +13 more
wiley   +1 more source

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

open access: yesAdvanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su   +5 more
wiley   +1 more source

Thermally Assisted Photocatalytic Dehydrogenation of Methanol in Continuous Steady‐State Operation

open access: yesAdvanced Science, EarlyView.
Thermally assisted photocatalytic methanol dehydrogenation on Pt/TiO2 enables formaldehyde and hydrogen production far beyond thermodynamic limits. Continuous operation delivers up to 95% selectivity over 70 h, and oxygen microdosing strongly boosts conversion by regenerating surface oxygen sites.
Florian Stubenrauch   +8 more
wiley   +1 more source

Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect Connectivity

open access: yesAdvanced Science, EarlyView.
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley   +1 more source

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