Results 61 to 70 of about 216,053 (314)
Impact of Moisture Exposure on Thermal Stability and Safety of Solid‐State Batteries
Advanced Energy Materials, EarlyView.Sulfide‐based solid‐state batteries (SSBs) hold significant potential for next‐generation energy storage, yet their practical deployment is hindered by the moisture sensitivity of sulfide solid electrolytes. This study examines how moisture exposure influences thermo‐electrochemical instability at the material and cell‐level, and underscores the ...
Md Toukir Hasan +7 more
wiley +1 more source
Subjective utility moderates bidirectional effects of conflicting motivations on pain perception
Scientific Reports, 2017 Minimizing pain and maximizing pleasure are conflicting motivations when pain and reward co-occur. Decisions to prioritize reward consumption or pain avoidance are assumed to lead to pain inhibition or facilitation, respectively.
Susanne Becker +3 more
doaj +1 more source
On Alan Schoen's I-WP Minimal Surface [PDF]
, 2023 Dami Lee, Matthias Weber, A. Tom Yerger
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advanced Intelligent Discovery, EarlyView.Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Advanced Intelligent Discovery, EarlyView.We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
Advanced Intelligent Discovery, EarlyView.As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Scientific ReportsDeep neural networks (DNNs) are powerful tools for approximating the distribution of complex data. It is known that data passing through a trained DNN classifier undergoes a series of geometric and topological simplifications.
Anthony Baptista +5 more
doaj +1 more source
Toplu Ulaşım Sosyolojisinin Temel Boyutları: Literatür İncelemesi ve Alan Gözlemleri
, 2021 Ayşe MİRZA GİRGİN, Himmet Hülür
openalex +2 more sources