Results 131 to 140 of about 59,026 (196)

On the type II exponentiated half-logistic exponential distribution with applications to hydrological and financial data. [PDF]

Sci Rep
Obulezi OJ, Abdalla GSS, Orji GO, Khanday MA, Okechukwu CP, Almetwally EM, Hydara A, Elgarhy M.   +7 more
europepmc   +1 more source

Sub‐Terahertz Memristor Switches Using MoS2 by Liquid–Liquid Interface Assembly

Advanced Science, EarlyView.
This work introduces application‐ready sub‐terahertz memristor switches fabricated from electrochemically exfoliated MoS2 nanosheets assembled at a liquid–liquid interface. The devices exhibit robust unipolar resistive switching, low insertion loss, and high isolation across 10–110 GHz.
Tomás Mingates, Mohamed E. Ghatas, Jonas Deuermeier, Adam G. Kelly, Joseph Neilson, Jonathan N. Coleman, Luís Mendes, João C. Vaz, Sérgio Matos, Luca Lucci, Antonio Clemente, Zdeněk Sofer, Luís M. Pessoa, Elvira Fortunato, Rodrigo Martins, Asal Kiazadeh   +15 more
wiley   +1 more source

Refining estimation techniques for the Two-Sided Power Distribution: A data-sensitive perspective. [PDF]

PLoS One
Güral Y.
europepmc   +1 more source

Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective

Advanced Science, EarlyView.
Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok, Jesús Valdés‐Hernández, Varinia Bernales, Alán Aspuru‐Guzik, Alex Zhavoronkov   +4 more
wiley   +1 more source

Fast efficient coding and sensory adaptation in gain-adaptive recurrent networks. [PDF]

Nat Commun
Prat-Carrabin A, Harl MV, Gershman SJ.
europepmc   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Metabolic Saliency as KL-Divergence Estimator: Information-Geometric Attribution of Systemic Stress in JSE Equity Network. [PDF]

Entropy (Basel)
Moroke ND.
europepmc   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

A unified framework for complex survival data: accounting for clustering, cure fractions, and competing risks. [PDF]

BMC Med Res Methodol
Wang Y, Li J, Zhou Q, Wang W.
europepmc   +1 more source