Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
A Sensor based turning dataset for data-driven surface roughness estimation. [PDF]
Sakthivel NR, Harigovind H, Nair BB.
europepmc +1 more source
Sputtering Mechanism of an Unsintered Organic–Inorganic Sputtering Target for Perovskite Solar Cells
An unsintered MAPbI3 sputtering target fabricated via a mechanochemical route enables large‐area vacuum deposition of perovskite absorber layers, while revealing an ion–photon coupled decomposition mechanism that governs target erosion and film composition under RF plasma exposure.
Doha Lim +9 more
wiley +1 more source
A community case study of pedestrian environment features of neighborhood walkability and built environment-related 311 service requests surrounding public housing developments serving low-income Boston residents. [PDF]
Krasnoff P +9 more
europepmc +1 more source
This comprehensive review highlights surface acidity engineering as a versatile strategy to modulate surface charge and boost catalytic performance in functional oxides. It explores recent advances in practical implementation, structural reconstruction approaches, and mechanistic origins from diverse complementary viewpoints.
Gyu Rac Lee, Harry L. Tuller
wiley +1 more source
Power-law penalties correct distance bias in single-cell co-accessibility and deep-learning chromatin interaction predictions. [PDF]
Schlegel L +3 more
europepmc +1 more source
This article provides a comprehensive analysis of transition metal phosphides (TMP) as electrocatalysts for urea‐assisted water electrolysis, highlighting the critical role of phosphorus engineering in modulating electronic structure, optimizing active sites, and enhancing catalytic durability.
Shivalingayya Gaddimath +8 more
wiley +1 more source
Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley +1 more source
Effects of non-pharmacological interventions on sleep in patients with critical illness: a systematic review and network meta-analysis. [PDF]
Matsuura Y +6 more
europepmc +1 more source
Multicomponent deceptive signals reduce the speed at which predators learn that prey are profitable
J. Skelhorn +3 more
semanticscholar +1 more source

