Results 121 to 130 of about 11,998 (267)

Intelligent particle filtering state observer for stability assessment in solar-wind penetrated microgrids. [PDF]

Sci Rep
Alharbi A.
europepmc   +1 more source

A rational strategy to optimize photodrugs by Molecular Dynamics simulations for killing drug‐resistant Gram‐negative bacteria

AIChE Journal, EarlyView.
Abstract Antimicrobial resistance has become a major threat to human health, particularly for Gram‐negative bacteria such as Acinetobacter baumannii and Klebsiella pneumoniae. Disruption of membrane integrity is regarded as a promising antimicrobial strategy that does not induce distinct drug resistance, while increasing the internalization of drug ...
Lei Hao, Yeonho Song, Cheng Zhang, Yumei Wang, Haoying Ge, Wen Sun, Jingyun Wang, Jun Soo Kim, Xiaojun Peng, Juyoung Yoon, Haidong Li   +10 more
wiley   +1 more source

Extreme, Cold-Season Climatic Events Can Decimate Wildlife and Imperil Population Persistence. [PDF]

Glob Chang Biol
Reinking AK, Gura KB.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Spatial modeling of forest-savanna bistability: impacts of fire dynamics and timescale separation. [PDF]

J Math Biol
Shen K, Levin S, Patterson D.
europepmc   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

PPO-Based Reinforcement Learning Control of a Flapping-Wing Robot with a Bio-Inspired Sensing and Actuation Feather Unit. [PDF]

Sensors (Basel)
Hussain S, Messaoudi M, Imran M, Tang D.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Handling Multi-Source Uncertainty in Accelerated Degradation Through a Wiener-Based Robust Modeling Scheme. [PDF]

Sensors (Basel)
Tu H, Wang X, Li Y.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source