Results 81 to 90 of about 507,719 (274)

Molecular data reveals a new holomorphic marine fungus, Halobyssothecium estuariae, and the asexual morph of Keissleriella phragmiticola

open access: yesMycology, 2020
This study introduces a novel holomorphic marine fungal species, Halobyssothecium estuariae (Lentitheciaceae, Pleosporales), from dead Phragmites communis. The new species has semi-immersed, subglobose or ellipsoidal, papillate, conical ascomata, clavate
Bandarupalli Devadatha   +4 more
doaj   +1 more source

The life and poetry of Emily Dickinson. [PDF]

open access: yes, 1934
Thesis (M.A.)--Boston ...
Fillmore, Mae
core   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

open access: yesAdvanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu   +3 more
wiley   +1 more source

Modular Autoencoders for Ensemble Feature Extraction [PDF]

open access: yes, 2015
We introduce the concept of a Modular Autoencoder (MAE), capable of learning a set of diverse but complementary representations from unlabelled data, that can later be used for supervised tasks.
Brown, Gavin, Reeve, Henry W J
core   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Consumed by Abdominal Distention

open access: yes
Arthritis Care &Research, Accepted Article.
Abimbola Fadairo‐Azinge   +3 more
wiley   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

open access: yesAdvanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi   +2 more
wiley   +1 more source

Self-reinforced poly(lactic acid) nanocomposites with integrated bacterial cellulose and its surface modification

open access: yesNanocomposites, 2018
Bacterial cellulose (BC) nanofibers, with and without silane surface modification, were incorporated into self-reinforced poly(lactic acid) (SR-PLA) nanocomposites at 1 and 10 wt%.
Kedmanee Somord   +5 more
doaj   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

open access: yesAdvanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

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