Results 201 to 210 of about 6,331,604 (301)

Disentangling Bulk and Surface Contributions to Charge and Discharge Fading in High‐Voltage LiCoO2

Advanced Functional Materials, EarlyView.
High‐voltage operation of LiCoO2 accelerates capacity fading through bulk and surface degradation. By introducing a LiTaO3 coating to selectively suppress surface degradation, bulk and surface contributions to charge and discharge fading are decoupled.
Hyungjoon Moon, Sangbin Park, Jaewoo Jung, Seongeun Lee, Chanwoo Jung, Min‐Sik Park, Won‐Sub Yoon   +6 more
wiley   +1 more source

US federal resource allocations are inconsistent with concentrations of energy poverty. [PDF]

Sci Adv
Batlle C, Heller P, Knittel C, Schittekatte T.   +3 more
europepmc   +1 more source

Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials

Advanced Functional Materials, EarlyView.
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni, Nastaran Bahrami Novin, Luigi Benvenuto, Enrico Lertora, Flavia Libonati   +4 more
wiley   +1 more source

Retraction notice to "From darkness to light: Unveiling the asymmetric nexus between energy poverty and environmental quality in South Asia" [Heliyon 10 (2024) e27100]. [PDF]

Heliyon
Rao J, Ali S, Nazar R, Anser MK.
europepmc   +1 more source

Dirac‐Source Linear X‐Ray Detection Diode

Advanced Functional Materials, EarlyView.
Monolayer graphene imparts near linear current‐voltage behavior to a perovskite X‐ray detection diode, contrasting with conventional diode‐like responses. Exploiting graphene's Dirac dispersion and a Schottky‐like back‐to‐back junction, the device achieves six‐orders‐of‐magnitude dark current suppression while retaining linearity over 200 V, enabling ...
Babar Shabbir, Shoaib Masood, Jialu Li, R. A. W. Ayyubi, Naeimeh Mozaffari, Mosarof Hossain, Nasir Mahmood, Muhammad Nadeem, Jacek J. Jasieniak   +8 more
wiley   +1 more source

Preferential Interfacial Engineering of Hydrogels via Interdigitated Nanoparticle Assembly

Advanced Functional Materials, EarlyView.
Robust surface functionalization of hydrogel surfaces is performed via interdigitated metal nanoparticle assembly, inducing strong affinity with the hydrogel matrix. The partially exposed nanoparticle domains act as interfacial nanobridges that mediate both chemical and physical bonding with diverse materials, including small molecules, fluorous ...
Hyeonjin Kim, Hyeseoung Lim, Ji Min Lee, Heeyeon Kang, Yongkwon Song, Woojae Chang, So‐Jin Park, Jin Yoo, Atsushi Hozumi, Jinhan Cho, Jongkuk Ko, Sanghyuk Wooh   +11 more
wiley   +1 more source

The impact of energy poverty on the health and welfare of the middle-aged and older adults. [PDF]

Front Public Health
Wang Y, Wu Y, Wang C, Li L, Lei Y, Wu S, Qu Z.   +6 more
europepmc   +1 more source

An Integrated Oxygen‐Supplying Device and Predictive Multiphysics Model for Extended Ambient Transport of Insulin‐Producing Cells

Advanced Functional Materials, EarlyView.
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez, Ruth Tarpey, Benjamin Brennan, Bryan D. Boyle, Amir M. Alsharabasy, Abhik Mallick, Gabriella Bellavia, Abhay Pandit, Garry P. Duffy, Ruth E. Levey   +9 more
wiley   +1 more source

Multidimensional energy poverty and its effects on household consumption and savings: Evidence from Nepal. [PDF]

Heliyon
Koirala DP, Rahut D.
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source