Advanced Electronic Materials, EarlyView.1T1R‐arrays combining filamentary‐type memristors and CMOS transistors offer great potential for energy‐efficient analog hardware accelerators. Here, transient SET analysis of nanoscale HfO2 memristors integrated on 180 nm CMOS wafers is discussed.
Oliver Artner +11 more
wiley +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Advanced Electronic Materials, EarlyView.Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries
Advanced Energy Materials, EarlyView.This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku +5 more
wiley +1 more source
Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach. [PDF]
AnaesthesiaArina P +10 more
europepmc +1 more source
Dry‑Contact Trimming for All‑Perovskite Tandem Solar Cells via Solid‑Solution Homogenization
Advanced Energy Materials, EarlyView.Narrow‐bandgap Sn–Pb perovskites are promising bottom absorbers for all‐perovskite tandems but suffer from Sn‐rich surfaces and depth‐dependent lattice/compositional inhomogeneity. Layered‐perovskite‐assisted dry‐contact trimming removes Sn‐rich surface species and reconfigures the Sn–Pb absorber, enabling efficient charge collection, reduced voltage ...
Woocheol Han +10 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics. [PDF]
PNAS NexusMakke N, Chawla S.
europepmc +1 more source
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT This paper examines the relationship between participation in the EU Rural Development Program and the economic performance of Italian olive farms using a finite‐mixture model with inverse‐probability‐weighted regression adjustment. Based on 2010–2022 FADN panel data, it estimates heterogeneous treatment effects while correcting for selection ...
Francesco Caracciolo, Marilena Furno
wiley +1 more source
Generalizability Improvement of Interpretable Symbolic Regression Models for Quantitative Structure-Activity Relationships. [PDF]
ACS OmegaShirasawa R, Takaki K, Miyao T.
europepmc +1 more source
Extension Economists: Valued in Mission, Penalized in Practice
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT As the public engagement arm of the land‐grant mission, we argue that Extension faculty in US agricultural economics departments face an identity crossroads as they struggle for institutional support. Specifically, we argue that Extension economists function as boundary‐spanning professionals within academic structures that often devalue ...
Trey Malone +5 more
wiley +1 more source