Results 91 to 100 of about 126,284 (230)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions

open access: yesDiscover Sustainability
As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods and institutional operations. AI can improve educational outcomes, resource management, and long-term
Sunawar Khan   +6 more
doaj   +1 more source

Anisotropic Masked Mycobacterium Potentiates Amplified Antitumor Trained Immunity via Spleen Targeting and Myelopoiesis Conversion

open access: yesAdvanced Materials, EarlyView.
An engineered Trojan Mycobacterium, developed via a “peeling‐off and masking‐up” strategy, functions as a powerful splenic myelopoiesis converter. This spleen‐targeted nanomedicine induces trained immunity to reprogram immunosuppressive myeloid reservoirs into antitumoral effectors.
Jin‐Ho Choi   +5 more
wiley   +1 more source

How “Green” is Your Functional Material? Assessing Environmental Impacts of Multi‐Step Synthetic Protocols in Material Sciences at Various Technology Levels

open access: yesAdvanced Materials, EarlyView.
Environmental Synthesis Radar (ESR) evaluates the environmental impact of (early‐stage) multi‐step chemical syntheses, providing a holistic view by using 18 midpoint impact categories. Unlike conventional life‐cycle assessment (LCA) approaches, ESR reveals three complementary metrics: overall impact Vtotal, environmental hotspots VEF, and critical ...
Laura Plein   +8 more
wiley   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

open access: yesAdvanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo   +7 more
wiley   +1 more source

O Radical‐Induced n‐to‐p Transition in PbS Quantum Dots Enabling Enhanced and Stable Photogating in QD/IGZO SWIR Phototransistors

open access: yesAdvanced Materials Technologies, EarlyView.
An O radical‐induced n‐to‐p transition in PbS quantum dots (QDs) is achieved via atmospheric Ar/O2 treatment, enabling favorable band alignment and stable photogating in PbS QD/IGZO phototransistors. Interfacial defect passivation and Fermi‐level modulation, confirmed by XPS and UPS analyses, effectively suppress dark current, induce a positive VTH ...
MD Redowan Mahmud Arnob   +4 more
wiley   +1 more source

Big Five personality dimensions and disintegration as antecedents of vertical and horizontal internet privacy concerns

open access: yesCyberpsychology: Journal of Psychosocial Research on Cyberpspace
Given the role that internet privacy concerns (IPCs) have in individuals’ online behaviors, it is essential to understand how personality shapes people’s concerns about privacy online.
Jošt Bartol   +4 more
doaj  

ProstAI-Net: A Federated Privacy-Preserving Deep Learning Framework for Sustainable Prostate Cancer Image Classification in Digital Pathology

open access: yesInternational Journal of Computational Intelligence Systems
The rapid growth of medical imaging data has provided great potential to automate image classification, especially in prostate cancer diagnosis. Digital pathology and whole-slide imaging (WSI) produce high-resolution data that is a prerequisite for ...
Muhammad Arshad   +7 more
doaj   +1 more source

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